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2881796 2023 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

[1]

Martín-Isla, C. et al. 2023. Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&ms Challenge. IEEE Journal of Biomedical and Health Informatics. (2023), 1–14. DOI:https://doi.org/10.1109/JBHI.2023.3267857.

[1]

Alabed, S. et al. 2023. 33 Cardiac MRI thresholds for improvement in pulmonary arterial hypertension. Heart. 109, Suppl 1 (Jan. 2023), A25–A25. DOI:https://doi.org/10.1136/heartjnl-2022-BSCMR.32.

[1]

Assadi, H. et al. 2023. Automated 4D flow cardiac MRI pipeline to derive peak mitral inflow diastolic velocities using short-axis cine stack: two centre validation study against echocardiographic pulse-wave doppler. BMC Cardiovascular Disorders. 23, 1 (Jan. 2023), 24. DOI:https://doi.org/10.1186/s12872-023-03052-x.

[1]

Zeijen, V.J.M., Feyz, L., Kardys, I., Geleijnse, M.L., Van Mieghem, N.M., Zijlstra, F., Lafeber, M., Van Der Geest, R.J., Hirsch, A. and Daemen, J. 2023. Association between renal sympathetic denervation and arterial stiffness: the ASORAS study. Journal of Hypertension. (Jan. 2023), 10.1097/HJH.0000000000003361. DOI:https://doi.org/10.1097/HJH.0000000000003361.

[1]

Tran, T.V. et al. 2023. Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease. Respiratory Medicine. (Jan. 2023), 107126. DOI:https://doi.org/10.1016/j.rmed.2023.107126.

[1]

Sun, X., Cheng, L.-H. and van der Geest, R.J. 2023. Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (Cham, Jan. 2023), 476–484.

[1]

Spierenburg, G., Suevos Ballesteros, C., Stoel, B.C., Navas Cañete, A., Gelderblom, H., van de Sande, M.A.J. and van Langevelde, K. 2023. MRI of diffuse-type tenosynovial giant cell tumour in the knee: a guide for diagnosis and treatment response assessment. Insights into Imaging. 14, 1 (Feb. 2023), 22. DOI:https://doi.org/10.1186/s13244-023-01367-z.

[1]

Andreasen, L.N. et al. 2023. Early healing after treatment of coronary lesions by thin strut everolimus, or thicker strut biolimus eluting bioabsorbable polymer stents: The SORT-OUT VIII OCT study. Catheterization and cardiovascular interventions. (Feb. 2023). DOI:https://doi.org/10.1002/ccd.30579.

[1]

Bijlstra, O., Dijkhuis, T., Achterberg, F., Warmerdam, M., Crobach, S., Broersen, A., Swijnenburg, R.-J., Burggraaf, K., Dijkstra, J., Vahrmeijer, A. and Mieog, J.S. 2023. Distribution of ICG around colorectal liver metastases: towards real-time intraoperative quantitative tumor margin assessment. European Journal of Surgical Oncology. 49, 2 (Feb. 2023), e151–e152. DOI:https://doi.org/10.1016/j.ejso.2022.11.423.

[1]

Hajjar, L.A. et al. 2023. Microvascular lung vessels obstructive thromboinflammatory syndrome in patients with COVID-19: Insights from lung intravascular optical coherence tomography. Frontiers in Medicine. 10, (Feb. 2023), 1050531. DOI:https://doi.org/10.3389/fmed.2023.1050531.

[1]

Poon, E.K.W. et al. 2023. An optical coherence tomography and endothelial shear stress study of a novel bioresorbable bypass graft. Scientific Reports. 13, 1 (Feb. 2023), 2941. DOI:https://doi.org/10.1038/s41598-023-29573-1.

[1]

Li, R. et al. 2023. The Importance of Mitral Valve Prolapse Doming Volume in the Assessment of Left Ventricular Stroke Volume with Cardiac MRI. Medical Sciences. 11, 1 (Mar. 2023), 13. DOI:https://doi.org/10.3390/medsci11010013.

[1]

Doolub, G., Mamalakis, M., Alabed, S., Van der Geest, R.J., Swift, A.J., Rodrigues, J.C.L., Garg, P., Joshi, N.V. and Dastidar, A. 2023. Artificial Intelligence as a Diagnostic Tool in Non-Invasive Imaging in the Assessment of Coronary Artery Disease. Medical Sciences. 11, 1 (Mar. 2023), 20. DOI:https://doi.org/10.3390/medsci11010020.

[1]

Guo, N., Li, N., Jia, L., Jiang, Q., Schreurs, M., van Unen, V., de Sousa Lopes, S.M.C., Vloemans, A.A., Eggermont, J., Lelieveldt, B., Staal, F.J.T., de Miranda, N.F.C.C., Pascutti, M.F. and Koning, F. 2023. Immune subset-committed proliferating cells populate the human foetal intestine throughout the second trimester of gestation. Nature Communications. 14, 1 (Mar. 2023), 1318. DOI:https://doi.org/10.1038/s41467-023-37052-4.

[1]

Sardjoe Mishre, A.S.D., Martinez-Tellez, B., Straat, M.E., Boon, M.R., Dzyubachyk, O., Webb, A.G., Rensen, P.C.N. and Kan, H.E. 2023. Image registration and mutual thresholding enable low interimage variability across dynamic MRI measurements of supraclavicular brown adipose tissue during mild cold exposure. Magnetic Resonance in Medicine. (May 2023). DOI:https://doi.org/10.1002/mrm.29707.

2881796 2022 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

[1]

Tao, Q. and van der Geest, R.J. 2022. Artificial Intelligence-Based Evaluation of Functional Cardiac Magnetic Resonance Imaging. Artificial Intelligence in Cardiothoracic Imaging. C.N. De Cecco, M. van Assen, and T. Leiner, eds. Springer International Publishing. 321–331.

[1]

Sun, X., Cheng, L.-H., Plein, S., Garg, P. and van der Geest, R.J. 2022. Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Cham, 2022), 370–379.

[1]

Cheng, L.-H., Sun, X. and van der Geest, R.J. 2022. Contrastive Learning for Echocardiographic View Integration. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Cham, 2022), 340–349.

[1]

Mody, P., Chaves-de-Plaza, N.F., Hildebrandt, K. and Staring, M. 2022. Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (Cham, 2022), 70–79.

[1]

Popa, A., Gabrieli, F., Kroes, T., Krekeler, A., Alfeld, M., Lelieveldt, B., Eisemann, E. and Höllt, T. 2022. Visual Analysis of RIS Data for Endmember Selection. The Eurographics Association.

[1]

Sun, X., Cheng, L.-H. and van der Geest, R.J. 2022. Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification. Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers (Cham, 2022), 476–484.

[1]

Sohani, M., van der Geest, R.J., Maier, A., Powell, A.J. and Moghari, M.H. 2022. Improved cardiac T1 mapping accuracy and precision with a new hybrid MOLLI and SASHA technique: MOSHA. Magnetic Resonance Imaging. (2022), S0730725X22000297. DOI:https://doi.org/10.1016/j.mri.2022.02.004.

[1]

Niklas, M., Schlegel, J., Liew, H., Zimmermann, F., Rein, K., Walsh, D.W.M., Dzyubachyk, O., Holland-Letz, T., Rahmanian, S., Greilich, S., Runz, A., Jäkel, O., Debus, J. and Abdollahi, A. 2022. Biosensor for deconvolution of individual cell fate in response to ion beam irradiation. Cell Reports Methods. (2022), 100169. DOI:https://doi.org/10.1016/j.crmeth.2022.100169.

[1]

Turkbey, E.B., Backlund, J.-Y.C., Gai, N., Nacif, M., van der Geest, R.J., Lachin, J.M., Armstrong, A., Volpe, G.J., Nazarian, S., Lima, J.A.C. and Bluemke, D.A. 2022. Left Ventricular Structure, Tissue Composition, and Aortic Distensibility in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Intervention and Complications. The American Journal of Cardiology. (2022), S0002914922003423. DOI:https://doi.org/10.1016/j.amjcard.2022.03.036.

[1]

Zhao, X. et al. 2022. Ventricular flow analysis and its association with exertional capacity in repaired tetralogy of Fallot: 4D flow cardiovascular magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 24, 1 (2022), 4. DOI:https://doi.org/10.1186/s12968-021-00832-2.

[1]

Alandejani, F. et al. 2022. Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. Journal of Cardiovascular Magnetic Resonance. 24, 1 (2022), 25. DOI:https://doi.org/10.1186/s12968-022-00855-3.

[1]

Assadi, H., Grafton-Clarke, C., Demirkiran, A., van der Geest, R.J., Nijveldt, R., Flather, M., Swift, A.J., Vassiliou, V.S., Swoboda, P.P., Dastidar, A., Greenwood, J.P., Plein, S. and Garg, P. 2022. Mitral regurgitation quantified by CMR 4D-flow is associated with microvascular obstruction post reperfused ST-segment elevation myocardial infarction. BMC Research Notes. 15, 1 (2022), 181. DOI:https://doi.org/10.1186/s13104-022-06063-7.

[1]

Habets, P.C., Kalafatakis, K., Dzyubachyk, O., van der Werff, S.J.A., Keo, A., Thakrar, J., Mahfouz, A., Pereira, A.M., Russell, G.M., Lightman, S.L. and Meijer, O.C. 2022. Transcriptional and cell type profiles of cortical brain regions showing ultradian cortisol rhythm dependent responses to emotional face stimulation. Neuroscience.

[1]

van Driest, F.Y., Bijns, C.M., van der Geest, R.J., Broersen, A., Dijkstra, J., Scholte, A.J.H.A. and Jukema, J.W. 2022. Utilizing (serial) coronary computed tomography angiography (CCTA) to predict plaque progression and major adverse cardiac events (MACE): results, merits and challenges. European Radiology. (Jan. 2022). DOI:https://doi.org/10.1007/s00330-021-08393-9.

[1]

Malimban, J., Lathouwers, D., Qian, H., Verhaegen, F., Wiedemann, J., Brandenburg, S. and Staring, M. 2022. Deep learning-based segmentation of the thorax in mouse micro-CT scans. Scientific Reports. 12, 1 (Feb. 2022), 1822. DOI:https://doi.org/10.1038/s41598-022-05868-7.

[1]

Brink, W.M., Yousefi, S., Bhatnagar, P., Remis, R.F., Staring, M. and Webb, A.G. 2022. Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1 ‐weighted dataset. Magnetic Resonance in Medicine. (Mar. 2022), mrm.29215. DOI:https://doi.org/10.1002/mrm.29215.

[1]

Li, Y., Elmahdy, M.S., Lew, M.S.K. and Staring, M. 2022. Transformation-consistent semi-supervised learning for prostate CT radiotherapy. Medical Imaging 2022: Computer-Aided Diagnosis (San Diego, United States, Apr. 2022), 76.

[1]

Mody, P., Chaves-de-Plaza, N., Hildebrandt, K., van Egmond, R., de Ridder, H. and Staring, M. 2022. Comparing Bayesian models for organ contouring in head and neck radiotherapy. Medical Imaging 2022: Image Processing (San Diego, United States, Apr. 2022), 13.

[1]

Huang, J., Ninomiya, K., Tu, S., Masuda, S., Dijkstra, J., Chu, M., Ding, D., Hynes, S.O., O, ’Leary Neil, Wijns, W., Onuma, Y. and Serruys, P.W. 2022. TCTAP A-050 Calcified Plaque Detected on Optical Coherence Tomography With Deep Learning and Cross-Validated With Optical and Ultrasonic Signals: A Complementary Appraisal and Preamble to the Use of Combined IVUS-OCT Catheter. Journal of the American College of Cardiology. 79, 15_Supplement (Apr. 2022), S31–S32. DOI:https://doi.org/10.1016/j.jacc.2022.03.073.

[1]

Araki, M. et al. 2022. Optical coherence tomography in coronary atherosclerosis assessment and intervention. Nature Reviews Cardiology. (Apr. 2022). DOI:https://doi.org/10.1038/s41569-022-00687-9.

[1]

Hoppe, B.P., Stoel, B.C. and Postmus, P.E. 2022. Natural Course of Cysts in Birt-Hogg-Dubé Syndrome. American Journal of Respiratory and Critical Care Medicine. (Apr. 2022), rccm.202106-1382IM. DOI:https://doi.org/10.1164/rccm.202106-1382IM.

[1]

Sun, X., Cheng, L.-H. and Geest, R.J. van der 2022. Self- and Cross-attention based Transformer for left ventricle segmentation in 4D flow MRI. (Apr. 2022).

[1]

Bijlstra, O.D., Broersen, A., Oosterveer, T.T.M., Faber, R.A., Achterberg, F.B., Hurks, R., Burgmans, M.C., Dijkstra, J., Mieog, J.S.D., Vahrmeijer, A.L. and Swijnenburg, R.-J. 2022. Integration of Three-Dimensional Liver Models in a Multimodal Image-Guided Robotic Liver Surgery Cockpit. Life. 12, 5 (May 2022), 667. DOI:https://doi.org/10.3390/life12050667.

[1]

Alabed, S. et al. 2022. Machine Learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension. European Heart Journal - Digital Health. (May 2022), ztac022. DOI:https://doi.org/10.1093/ehjdh/ztac022.

[1]

Omara, S., Glashan, C., Tofig, B., Tao, Q., Blom, S., Nielsen, J., Lukac, P., Kristiansen, S., Van Der Geest, R. and Zeppenfeld, K. 2022. Assessing the field of view of multisize electrodes in ischemic cardiomyopathy by validating against ex-vivo high resolution cardiac magnetic resonance. EP Europace. 24, Supplement_1 (May 2022), euac053.344. DOI:https://doi.org/10.1093/europace/euac053.344.

[1]

Alabed, S. et al. 2022. Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction. Radiology. (Jun. 2022), 212929. DOI:https://doi.org/10.1148/radiol.212929.

[1]

Neve, O.M., Chen, Y., Tao, Q., Romeijn, S.R., de Boer, N.P., Grootjans, W., Kruit, M.C., Lelieveldt, B.P.F., Jansen, J.C., Hensen, E.F., Verbist, B.M. and Staring, M. 2022. Fully Automated 3D Vestibular Schwannoma Segmentation with and without Gadolinium Contrast: A Multicenter, Multivendor Study. Radiology: Artificial Intelligence. (Jun. 2022), e210300. DOI:https://doi.org/10.1148/ryai.210300.

[1]

Brouwer, T.P., de Vries, N.L., Abdelaal, T., Krog, R.T., Li, Z., Ruano, D., Fariña, A., Lelieveldt, B.P.F., Morreau, H., Bonsing, B.A., Vahrmeijer, A.L., Koning, F. and de Miranda, N.F.C.C. 2022. Local and systemic immune profiles of human pancreatic ductal adenocarcinoma revealed by single-cell mass cytometry. Journal for Immunotherapy of Cancer. 10, 7 (Jul. 2022), e004638. DOI:https://doi.org/10.1136/jitc-2022-004638.

[1]

Alabed, S. et al. 2022. Quality of reporting in AI cardiac MRI segmentation studies – A systematic review and recommendations for future studies. Frontiers in Cardiovascular Medicine. 9, (Jul. 2022), 956811. DOI:https://doi.org/10.3389/fcvm.2022.956811.

[1]

Assadi, H., Alabed, S., Maiter, A., Salehi, M., Li, R., Ripley, D.P., Van der Geest, R.J., Zhong, Y., Zhong, L., Swift, A.J. and Garg, P. 2022. The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review. Medicina. 58, 8 (Aug. 2022), 1087. DOI:https://doi.org/10.3390/medicina58081087.

[1]

McConnell, B., Stoll, V.M., Panayiotou, H., Piechnik, S.K., Neubauer, S., van der Geest, R.J., Myerson, S.G., Orchard, E. and Bissell, M.M. 2022. Acute vasodilator response testing in the adult Fontan circulation using non-invasive 4D Flow MRI: a proof-of-principle study. Cardiology in the Young. (Aug. 2022), 1–8. DOI:https://doi.org/10.1017/S1047951122002426.

[1]

Chaves-de-Plaza, N.F., Mody, P., Hildebrandt, K., Staring, M., de Ridder, H. and van Egmond, R. 2022. Towards Fast AI-Infused Human-Centered Contouring Workflows for Adaptive Proton Therapy in the Head and Neck. arXiv.

[1]

Demirkiran, A., van der Geest, R.J., Hopman, L.H.G.A., Robbers, L.F.H.J., Handoko, M.L., Nijveldt, R., Greenwood, J.P., Plein, S. and Garg, P. 2022. Association of left ventricular flow energetics with remodeling after myocardial infarction: New hemodynamic insights for left ventricular remodeling. International Journal of Cardiology. (Aug. 2022). DOI:https://doi.org/10.1016/j.ijcard.2022.08.040.

[1]

Koolstra, K., Staring, M., de Bruin, P. and van Osch, M.J.P. 2022. Subject-specific optimization of background suppression for arterial spin labeling magnetic resonance imaging using a feedback loop on the scanner. NMR in biomedicine. 35, 9 (Sep. 2022), e4746. DOI:https://doi.org/10.1002/nbm.4746.

[1]

Alabed, S. et al. 2022. The quality of reporting in cardiac MRI artificial intelligence segmentation studies - a systematic review. European Heart Journal - Cardiovascular Imaging. 23, Supplement_2 (Sep. 2022), jeac141.002. DOI:https://doi.org/10.1093/ehjci/jeac141.002.

[1]

Ramasamy, A. et al. 2022. OP1 A novel coronary computed tomography angiography deep-learning methodology for coronary atheroma assessment trained using near-infrared spectroscopy-intravascular ultrasound. Heart. 108, Suppl 2 (Sep. 2022), A1–A1. DOI:https://doi.org/10.1136/heartjnl-2022-BSCI.1.

[1]

Braunstorfer, L., Romanowicz, J., Powell, A.J., Pattee, J., Browne, L.P., van der Geest, R.J. and Moghari, M.H. 2022. Non-contrast free-breathing whole-heart 3D cine cardiovascular magnetic resonance with a novel 3D radial leaf trajectory. Magnetic Resonance Imaging. (Sep. 2022). DOI:https://doi.org/10.1016/j.mri.2022.09.003.

[1]

Van Driest, F., Van Der Geest, R.J., Dijkstra, J., Jukema, J.W., Scholte, A.J.H.A. and Broersen, A. 2022. Automatic quantification of plaque progression dynamics as assessed by serial coronary computed tomography angiography using scan-quality-based vessel specific thresholds. European Heart Journal. 43, Supplement_2 (Oct. 2022), ehac544.214. DOI:https://doi.org/10.1093/eurheartj/ehac544.214.

[1]

Amier, R.P. et al. 2022. Cardiac dysfunction in relation to vascular brain injury, cognitive impairment and depressive symptoms; The Heart-Brain Connection Study. European Heart Journal. 43, Supplement_2 (Oct. 2022), ehac544.2004. DOI:https://doi.org/10.1093/eurheartj/ehac544.2004.

[1]

Gaszner, B., Simor, T., Van Der Geest, R.J., Farkas, N. and Meiszterics, Z. 2022. Increased arterial stiffness predict major adverse cardiovascular events in post-infarcted patients. Do parameters and methods matter? European Heart Journal. 43, Supplement_2 (Oct. 2022), ehac544.2294. DOI:https://doi.org/10.1093/eurheartj/ehac544.2294.

[1]

Demirkiran, A., Van Der Geest, R.J., Hopman, L.H.G.A., Robbers, L.F.H.J., Handoko, M.L., Nijveldt, R., Greenwood, J.P., Plein, S. and Garg, P. 2022. Post-myocardial infarction late diastolic left ventricular blood flow energetics are independently associated with left ventricular remodeling. European Heart Journal. 43, Supplement_2 (Oct. 2022), ehac544.1297. DOI:https://doi.org/10.1093/eurheartj/ehac544.1297.

[1]

Fremond, S. et al. 2022. 2022-RA-648-ESGO Interpretable deep learning provides clues for prognostic refinement of the molecular endometrial cancer classification. International Journal of Gynecologic Cancer. 32, Suppl 2 (Oct. 2022). DOI:https://doi.org/10.1136/ijgc-2022-ESGO.221.

[1]

Nakajima, A. et al. 2022. Biomarkers associated with coronary high-risk plaques. Journal of Thrombosis and Thrombolysis. (Oct. 2022). DOI:https://doi.org/10.1007/s11239-022-02709-2.

[1]

Dong, X., Strudwick, M., Wang, W.Y., Borlaug, B.A., van der Geest, R.J., Ng, A.C., Delgado, V., Bax, J.J. and Ng, A.C. 2022. Impact of body mass index and diabetes on myocardial fat content, interstitial fibrosis and function. The International Journal of Cardiovascular Imaging. (Oct. 2022). DOI:https://doi.org/10.1007/s10554-022-02723-8.

[1]

Sardjoe Mishre, A.S.D., Straat, M.E., Martinez-Tellez, B., Mendez Gutierrez, A., Kooijman, S., Boon, M.R., Dzyubachyk, O., Webb, A., Rensen, P.C.N. and Kan, H.E. 2022. The Infrared Thermography Toolbox: An Open-access Semi-automated Segmentation Tool for Extracting Skin Temperatures in the Thoracic Region including Supraclavicular Brown Adipose Tissue. Journal of Medical Systems. 46, 12 (Nov. 2022), 89. DOI:https://doi.org/10.1007/s10916-022-01871-7.

[1]

Das, A., Kelly, C., Ben-Arzi, H., van der Geest, R.J., Plein, S. and Dall’Armellina, E. 2022. Acute intra-cavity 4D flow cardiovascular magnetic resonance predicts long-term adverse remodelling following ST-elevation myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 24, 1 (Nov. 2022), 64. DOI:https://doi.org/10.1186/s12968-022-00889-7.

[1]

Zhao, X. et al. 2022. Right ventricular energetic biomarkers from 4D Flow CMR are associated with exertional capacity in pulmonary arterial hypertension. Journal of Cardiovascular Magnetic Resonance. 24, 1 (Dec. 2022), 61. DOI:https://doi.org/10.1186/s12968-022-00896-8.

[1]

Fremond, S. et al. 2022. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts. The Lancet Digital Health. (Dec. 2022). DOI:https://doi.org/10.1016/S2589-7500(22)00210-2.

[1]

Venlet, J., Piers, S.R., Hoogendoorn, J., Androulakis, A.F.A., de Riva, M., van der Geest, R.J. and Zeppenfeld, K. 2022. The transmural activation interval: a new mapping tool to identify ventricular tachycardia substrates in right ventricular cardiomyopathy. EP Europace. (Dec. 2022), euac220. DOI:https://doi.org/10.1093/europace/euac220.

[1]

Huang, J., Tu, S., Masuda, S., Ninomiya, K., Dijkstra, J., Chu, M., Ding, D., Hynes, S.O., O’Leary, N., Onuma, Y., Serruys, P.W. and Wijns, W. 2022. Plaque burden estimated from optical coherence tomography with deep learning: In vivo validation using co-registered intravascular ultrasound. Catheterization and Cardiovascular Interventions. n/a, n/a (Dec. 2022). DOI:https://doi.org/10.1002/ccd.30525.

2881796 2021 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

[1]

Somarakis, A., Ijsselsteijn, M.E., Kenkhuis, B., Unen, V.V., Luk, S.J., Koning, F., Weerd, L.V.D., Miranda, N.F.C.C.D., Lelieveldt, B.P.F. and Höllt, T. 2021. Visual Analysis of Tissue Images at Cellular Level. EuroVis 2021 - Dirk Bartz Prize. (2021), 5 pages. DOI:https://doi.org/10.2312/EVM.20211074.

[1]

Johnson, P.M. et al. 2021. Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. Machine Learning for Medical Image Reconstruction. N. Haq, P. Johnson, A. Maier, T. Würfl, and J. Yoo, eds. Springer International Publishing. 25–34.

[1]

Keo, A., Dzyubachyk, O., van der Grond, J., van Hilten, J.J., Reinders, M.J.T. and Mahfouz, A. 2021. Transcriptomic Signatures Associated With Regional Cortical Thickness Changes in Parkinson’s Disease. Frontiers in Neuroscience. 15, (2021), 1286. DOI:https://doi.org/10.3389/fnins.2021.733501.

[1]

Keo, A., Dzyubachyk, O., van der Grond, J., Hafkemeijer, A., van de Berg, W.D.J., van Hilten, J.J., Reinders, M.J.T. and Mahfouz, A. 2021. Cingulate networks associated with gray matter loss in Parkinson’s disease show high expression of cholinergic genes in the healthy brain. European Journal of Neuroscience. (2021), ejn.15216. DOI:https://doi.org/10.1111/ejn.15216.

[1]

Hassan, M.K., Fleury, E., Shamonin, D., Fonk, L.G., Marinkovic, M., Jaarsma-Coes, M.G., Luyten, G.P.M., Webb, A., Beenakker, J.-W. and Stoel, B. 2021. An automatic framework to create patient-specific eye models from 3D MR-images for treatment selection in patients with uveal melanoma. Advances in Radiation Oncology. (2021), 100697. DOI:https://doi.org/10.1016/j.adro.2021.100697.

[1]

Amier, R. et al. 2021. Cardiac Biomarkers and Left Ventricular Function in relation to Vascular Brain Injury and Cognitive Functioning. Journal of the American College of Cardiology. 77, 18 (2021), 3020. DOI:https://doi.org/10.1016/S0735-1097(21)04375-8.

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Mahdiui, M.E., van der Bijl, P., Abou, R., de Paula Lustosa, R., van der Geest, R., Ajmone Marsan, N., Delgado, V. and Bax, J.J. 2021. Myocardial Work, an Echocardiographic Measure of Post Myocardial Infarct Scar on Contrast-Enhanced Cardiac Magnetic Resonance. The American Journal of Cardiology. (2021), S0002914921003623. DOI:https://doi.org/10.1016/j.amjcard.2021.04.009.

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Karasu, A., Šrámek, A., Rosendaal, F.R., van der Geest, R.J. and van Hylckama Vlieg, A. 2018. Aging of the venous valves as a new risk factor for venous thrombosis in the elderly: the BATAVIA study. Journal of Thrombosis and Haemostasis. 16, 1 (2018), 96–103. DOI:https://doi.org/10.1111/jth.13880.

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Hollt, T., Pezzotti, N., van Unen, V., Koning, F., Lelieveldt, B.P.F. and Vilanova, A. 2018. CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis. IEEE Transactions on Visualization and Computer Graphics. 24, 1 (2018), 739–748. DOI:https://doi.org/10.1109/TVCG.2017.2744318.

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Pezzotti, N., Hollt, T., Van Gemert, J., Lelieveldt, B.P.F., Eisemann, E. and Vilanova, A. 2018. DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks. IEEE Transactions on Visualization and Computer Graphics. 24, 1 (2018), 98–108. DOI:https://doi.org/10.1109/TVCG.2017.2744358.

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Aizenberg, E., Roex, E.A.H., Nieuwenhuis, W.P., Mangnus, L., van der Helm-van Mil, A.H.M., Reijnierse, M., Bloem, J.L., Lelieveldt, B.P.F. and Stoel, B.C. 2018. Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study: Feasibility of Automatic Quantification of BME on MRI of the Wrist. Magnetic Resonance in Medicine. 79, 2 (2018), 1127–1134. DOI:https://doi.org/10.1002/mrm.26712.

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Ozaki, Y. et al. 2018. CRT-600.06 Implantation Technique in Magmaris Second-generation Drug-eluting Absorbable Metal Scaffold in Patients with Denovo Coronary Artery Lesions: Optical Coherence Tomography Analysis. JACC: Cardiovascular Interventions. 11, 4 (2018), S43. DOI:https://doi.org/10.1016/j.jcin.2018.01.145.

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Kamphuis, V.P., van der Palen, R.L.F., de Koning, P.J.H., Elbaz, M.S.M., van der Geest, R.J., de Roos, A., Roest, A.A.W. and Westenberg, J.J.M. 2018. In-scan and scan-rescan assessment of LV in- and outflow volumes by 4D flow MRI versus 2D planimetry: Reproducibility of LV In- and Outflow From MRI. Journal of Magnetic Resonance Imaging. 47, 2 (2018), 511–522. DOI:https://doi.org/10.1002/jmri.25792.

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Stettler, R. et al. 2018. Neointima and neoatherosclerotic characteristics in bare metal and first- and second-generation drug-eluting stents in patients admitted with cardiovascular events attributed to stent failure: an optical coherence tomography study. EuroIntervention. 13, 15 (2018), e1831–e1840. DOI:https://doi.org/10.4244/EIJ-D-17-00051.

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Eikendal, A.L.M., den Ruijter, H.M., Haaring, C., Saam, T., van der Geest, R.J., Westenberg, J.J.M., Bots, M.L., Hoefer, I.E. and Leiner, T. 2018. Sex, body mass index, and blood pressure are related to aortic characteristics in healthy, young adults using magnetic resonance vessel wall imaging: the AMBITYON study. Magnetic Resonance Materials in Physics, Biology and Medicine. 31, 1 (2018), 173–182. DOI:https://doi.org/10.1007/s10334-017-0626-z.

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Tao, Q., van der Tol, P., Berendsen, F.F., Paiman, E.H.M., Lamb, H.J. and van der Geest, R.J. 2018. Robust motion correction for myocardial T 1 and extracellular volume mapping by principle component analysis-based groupwise image registration: Robust Motion Correction for T 1 , ECV Mapping. Journal of Magnetic Resonance Imaging. 47, 5 (2018), 1397–1405. DOI:https://doi.org/10.1002/jmri.25863.

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Garg, P. et al. 2018. 4 Four-dimensional left ventricular blood flow energetics independently predict adverse remodelling post st-elevation myocardial infarction. British Society of Cardiovascular Magnetic Resonance (BSCMR) Young Investigator Award Abstracts (2018), A7.2-A7.

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Pezzotti, N., Fekete, J.-D., Höllt, T., Lelieveldt, B.P.F., Eisemann, E. and Vilanova, A. 2018. Multiscale Visualization and Exploration of Large Bipartite Graphs. Computer Graphics Forum. 37, 3 (2018), 549–560. DOI:https://doi.org/10.1111/cgf.13441.

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Gassenmaier, S., van der Geest, R.J., Schoepf, U.J., Suranyi, P., Rehwald, W.G., De Cecco, C.N., Mastrodicasa, D., Albrecht, M.H., De Santis, D., Lesslie, V.W., Ruzsics, B. and Varga-Szemes, A. 2018. Quantitative inversion time prescription for myocardial late gadolinium enhancement using T1-mapping-based synthetic inversion recovery imaging: reducing subjectivity in the estimation of inversion time. The International Journal of Cardiovascular Imaging. 34, 6 (2018), 921–929. DOI:https://doi.org/10.1007/s10554-017-1294-9.

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Kamphuis, V.P., Westenberg, J.J.M., van der Palen, R.L.F., van den Boogaard, P.J., van der Geest, R.J., de Roos, A., Blom, N.A., Roest, A.A.W. and Elbaz, M.S.M. 2018. Scan–rescan reproducibility of diastolic left ventricular kinetic energy, viscous energy loss and vorticity assessment using 4D flow MRI: analysis in healthy subjects. The International Journal of Cardiovascular Imaging. 34, 6 (2018), 905–920. DOI:https://doi.org/10.1007/s10554-017-1291-z.

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Xie, S., Desjardins, B., Kubala, M., Liang, J., Yang, J., van der Geest, R.J., Schaller, R., Riley, M., Callans, D., Zado, E., Marchlinski, F. and Nazarian, S. 2018. Association of regional epicardial right ventricular electrogram voltage amplitude and late gadolinium enhancement distribution on cardiac magnetic resonance in patients with arrhythmogenic right ventricular cardiomyopathy: Implications for ventricular tachycardia ablation. Heart Rhythm. 15, 7 (2018), 987–993. DOI:https://doi.org/10.1016/j.hrthm.2018.02.030.

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Zhang, J.-M., Tan, J.L., Westenberg, J.J.M., Zhong, L., Tan, R.S., Zhang, S., van der Geest, R., Garg, P., Leong, B.R., Bryant, J., Tangcharoen, T. and Zhao, X. 2018. Comparison of Image Acquisition Techniques in Four-Dimensional Flow Cardiovascular MR on 3 Tesla in Volunteers and Tetralogy of Fallot Patients. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Honolulu, HI, 2018), 1115–1118.

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Ng, A.C.T., Strudwick, M., van der Geest, R.J., Ng, A.C.C., Gillinder, L., Goo, S.Y., Cowin, G., Delgado, V., Wang, W.Y.S. and Bax, J.J. 2018. Impact of Epicardial Adipose Tissue, Left Ventricular Myocardial Fat Content, and Interstitial Fibrosis on Myocardial Contractile Function. Circulation: Cardiovascular Imaging. 11, 8 (2018). DOI:https://doi.org/10.1161/CIRCIMAGING.117.007372.

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Liu, S., Dzyubachyk, O., Eggermont, J., Nakatani, S., Lelieveldt, B.P.F. and Dijkstra, J. 2018. Histogram-based standardization of intravascular optical coherence tomography images acquired from different imaging systems. Medical Physics. 45, 9 (2018), 4158–4170. DOI:https://doi.org/10.1002/mp.13103.

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Sun, Z., Qiao, Y., Lelieveldt, B.P.F., Staring, M. and Alzheimer’s Disease NeuroImaging Initiative 2018. Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer’s disease classification. NeuroImage. 178, (2018), 445–460. DOI:https://doi.org/10.1016/j.neuroimage.2018.05.051.

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Tenekecioglu, E., Thondapu, V., Poon, E., Torii, R., Bourantas, C., Sotomi, Y., Dijkstra, J., Katagiri, Y., Asano, T., Modolo, R., Gijsen, F., Onuma, Y. and Serruys, P. 2018. TCT-159 Endothelial Shear Stress and Local Viscosity Assessment of Coronary Bioresorbable Scaffold: A Five-Year Follow Up. Journal of the American College of Cardiology. 72, 13 (2018), B68. DOI:https://doi.org/10.1016/j.jacc.2018.08.1269.

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Tenekecioglu, E., Torii, R., Katagiri, Y., Chichareon, P., Asano, T., Dijkstra, J., Modolo, R., Onuma, Y., Bourantas, C. and Serruys, P. 2018. TCT-193 The Effect of Plaque Type on Strut Embedment/Protrusion and Shear Stress in Bioresorbable Scaffold: Is There a New Horizon For Bioresorbable Scaffolds? Journal of the American College of Cardiology. 72, 13 (2018), B82. DOI:https://doi.org/10.1016/j.jacc.2018.08.1310.

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Chu, M., Li, Y., Holck, E., Zhang, S., Dijkstra, J., Holm, N. and Tu, S. 2018. TCT-267 Serial stent healing analysis of bioresorbable stent implanted in coronary bifurcations with optical coherence tomography: correlation with baseline shear stress. Journal of the American College of Cardiology. 72, 13 (2018), B110. DOI:https://doi.org/10.1016/j.jacc.2018.08.1400.

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Mastrodicasa, D., Elgavish, G.A., Schoepf, U.J., Suranyi, P., van Assen, M., Albrecht, M.H., De Cecco, C.N., van der Geest, R.J., Hardy, R., Mantini, C., Griffith, L.P., Ruzsics, B. and Varga-Szemes, A. 2018. Nonbinary quantification technique accounting for myocardial infarct heterogeneity: Feasibility of applying percent infarct mapping in patients: Nonbinary Infarct Quantification. Journal of Magnetic Resonance Imaging. 48, 3 (2018), 788–798. DOI:https://doi.org/10.1002/jmri.25973.

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Bizino, M.B., Tao, Q., Amersfoort, J., Siebelink, H.-M.J., van den Bogaard, P.J., van der Geest, R.J. and Lamb, H.J. 2018. High spatial resolution free-breathing 3D late gadolinium enhancement cardiac magnetic resonance imaging in ischaemic and non-ischaemic cardiomyopathy: quantitative assessment of scar mass and image quality. European Radiology. 28, 9 (2018), 4027–4035. DOI:https://doi.org/10.1007/s00330-018-5361-y.

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Li, X., Wang, Y., Yan, W., Van der Geest, R.J., Li, Z. and Tao, Q. 2018. A Multi-Scope Convolutional Neural Network for Automatic Left Ventricle Segmentation from Magnetic Resonance Images: Deep-Learning at Multiple Scopes. 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (Beijing, China, 2018), 1–5.

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Huisman, S.M.H., Mahfouz, A., Batmanghelich, N.K., Lelieveldt, B.P.F., Reinders, M.J.T. and Alzheimer’s Disease Neuroimaging Initiative 2018. A structural equation model for imaging genetics using spatial transcriptomics. Brain Informatics. 5, 2 (2018). DOI:https://doi.org/10.1186/s40708-018-0091-0.

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Doorenweerd, N., Mahfouz, A., van Putten, M., Kaliyaperumal, R., t’ Hoen, P.A.C., Hendriksen, J.G.M., Aartsma-Rus, A.M., Verschuuren, J.J.G.M., Niks, E.H., Reinders, M.J.T., Kan, H.E. and Lelieveldt, B.P.F. 2018. Author Correction: Timing and localization of human dystrophin isoform expression provide insights into the cognitive phenotype of Duchenne muscular dystrophy. Scientific Reports. 8, 1 (2018). DOI:https://doi.org/10.1038/s41598-018-22154-7.

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Crandon, S., Westenberg, J.J.M., Swoboda, P.P., Fent, G.J., Foley, J.R.J., Chew, P.G., Brown, L.A.E., Saunderson, C., Al-Mohammad, A., Greenwood, J.P., van der Geest, R.J., Dall’Armellina, E., Plein, S. and Garg, P. 2018. Impact of Age and Diastolic Function on Novel, 4D flow CMR Biomarkers of Left Ventricular Blood Flow Kinetic Energy. Scientific Reports. 8, 1 (2018), 14436. DOI:https://doi.org/10.1038/s41598-018-32707-5.

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Muthusami, P., Luining, W., McCrindle, B., van der Geest, R., Riesenkampff, E., Yoo, S.-J., Seed, M., Manlhiot, C. and Grosse-Wortmann, L. 2018. Myocardial Perfusion, Fibrosis, and Contractility in Children With Kawasaki Disease. JACC: Cardiovascular Imaging. 11, 12 (2018), 1922–1924. DOI:https://doi.org/10.1016/j.jcmg.2018.06.009.

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2018. Automated analysis of eye tumor MR‐images for an improved treatment determination. Acta Ophthalmologica. 96, S261 (2018), 11–12. DOI:https://doi.org/10.1111/aos.13972_34.

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Sotomi, Y., Onuma, Y., Dijkstra, J., Miyazaki, Y., Kozuma, K., Tanabe, K., Popma, J.J., de Winter, R.J., Serruys, P.W. and Kimura, T. 2018. Fate of post-procedural malapposition of everolimus-eluting polymeric bioresorbable scaffold and everolimus-eluting cobalt chromium metallic stent in human coronary arteries: sequential assessment with optical coherence tomography in ABSORB Japan trial. European Heart Journal - Cardiovascular Imaging. 19, 1 (Jan. 2018), 59–66. DOI:https://doi.org/10.1093/ehjci/jew329.

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Campos, C.M., Garcia-Garcia, H.M., Iqbal, J., Muramatsu, T., Nakatani, S., Dijkstra, J., Onuma, Y. and Serruys, P.W. 2018. Serial volumetric assessment of coronary fibroatheroma by optical frequency domain imaging: insights from the TROFI trial. European Heart Journal - Cardiovascular Imaging. 19, 1 (Jan. 2018), 92–100. DOI:https://doi.org/10.1093/ehjci/jew338.

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Boueiz, A. et al. 2018. Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression. Chest. 153, 1 (Jan. 2018), 65–76. DOI:https://doi.org/10.1016/j.chest.2017.09.022.

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Nacif, M.S., Raman, F.S., Gai, N., Jones, J., van der Geest, R.J., T. Sibley, C., Liu, S. and Bluemke, D.A. 2018. Myocardial T1 mapping and determination of partition coefficients at 3 tesla: comparison between gadobenate dimeglumine and gadofosveset trisodium. Radiologia Brasileira. 51, 1 (Jan. 2018), 13–19. DOI:https://doi.org/10.1590/0100-3984.2016.0071.

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Reed, D., McElvaney, N.G., Chapman, K.R., Burdon, J., Seersholm, N., Stoel, B., Wencker, M., Vit, O., Fries, M. and Edelman, J.M. 2017. The Effect Of Alpha1-Proteinase Inhibitor (a1-Pi) Therapy On Changes In Regional Lung Density: Post-Hoc Analysis Of The Rapid/rapid Extension Trial. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2017).

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Sotomi, Y., Suwannasom, P., Dijkstra, J., Collet, C., Nakatani, S., Serruys, P.W. and Onuma, Y. 2017. Optical coherence tomography analysis of bioresorbable vascular scaffolds in comparison with metallic stents: A core lab perspective. Bioresorbable Scaffolds: From Basic Concept to Clinical Applications. (2017), 142.

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Holck, E.N., Barkholt, T.O., Dijkstra, J., Christiansen, E.H. and Holm, N.R. 2017. PREDICTORS OF STENT ECCENTRICITY AFTER IMPLANTATION OF A NOVOLIMUS ELUTING BIORESORBABLE STENT IN CORONARY BIFURCATIONS. None (EN). 65, 1 (2017), 133–134.

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Zhang, B.-C. 2017. Qualitative and Quantitative Evaluation of Dynamic Changes in Non-culprit Coronary Atherosclerotic Lesion Morphology-A Longitudinal OCT Study. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2017), S47–S47.

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Tenekecioglu, E., Albuquerque, F.N., Sotomi, Y., Zeng, Y., Suwannasom, P., Tateishi, H., Cavalcante, R., Ishibashi, Y., Nakatani, S. and Abdelghani, M. 2017. Intracoronary optical coherence tomography: Clinical and research applications and intravascular imaging software overview. Catheterization and Cardiovascular Interventions. 89, 4 (2017), 679–689.

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Karanasos, A., Zhang, B.C., Van der Sijde, J., Van Ditzhuijzen, N., Witberg, K., Ligthart, J., Gnanadesigan, M., Diletti, R., Van Geuns, R.J. and Van Soest, G. 2017. Dynamic changes in non-culprit coronary atherosclerotic lesion morphology: a longitudinal OCT study. EUROPEAN HEART JOURNAL (2017), 468–468.

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Clemmensen, T.S., Koefoed‐Nielsen, P., Jensen, L.-A., Poulsen, S.H., Holm, N.R., Løgstrup, B.B., Christiansen, E.H., Dijkstra, J., Valen, K.P.B. and Eiskjær, H. 2017. Donor-specific antibodies are associated with micro- and macrovascular coronary disease, restrictive myocardial damage, and poor outcome in heart-transplanted patients. Clinical Transplantation. 31, 9 (2017), e13033. DOI:https://doi.org/10.1111/ctr.13033.

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Gao, X., Kitslaar, P.H., Graaf, M.A. de, Broersen, A., Tu, S., Lelieveldt, B., Scholte, A.J.H.A., Dijkstra, J. and Reiber, J.H.C. 2017. Fully automatic volume quantification of aortic valve calcium in coronary computed tomography angiography. Cardiovascular Diagnosis and Therapy. (2017), 1–8. DOI:https://doi.org/10.21037/cdt.2017.05.01.

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Tao, Q., Shahzad, R., Berendsen, F.F. and van der Geest, R.J. 2017. Automatic Left Atrial Wall Segmentation from Contrast-Enhanced CT Angiography Images. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. T. Mansi, K. McLeod, M. Pop, K. Rhode, M. Sermesant, and A. Young, eds. Springer International Publishing. 220–227.

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Shahzad, R., Gao, S., Tao, Q., Dzyubachyk, O. and van der Geest, R. 2017. Automated Cardiovascular Segmentation in Patients with Congenital Heart Disease from 3D CMR Scans: Combining Multi-atlases and Level-Sets. Reconstruction, Segmentation, and Analysis of Medical Images. M.A. Zuluaga, K. Bhatia, B. Kainz, M.H. Moghari, and D.F. Pace, eds. Springer International Publishing. 147–155.

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Chu, L.C., Corona-Villalobos, C.P., Halushka, M.K., Zhang, Y., Pozzessere, C., Kamel, I.R., Pozios, I., Van Der Geest, R.J., Gai, N., Abraham, R.M., Abraham, T.P., Bluemke, D.A. and Zimmerman, S.L. 2017. Structural and Functional Correlates of Myocardial T1 Mapping in 321 Patients With Hypertrophic Cardiomyopathy: Journal of Computer Assisted Tomography. 41, 4 (2017), 653–660. DOI:https://doi.org/10.1097/RCT.0000000000000564.

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Sokooti, H., de Vos, B., Berendsen, F., Lelieveldt, B.P.F., Išgum, I. and Staring, M. 2017. Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. M. Descoteaux, L. Maier-Hein, A. Franz, P. Jannin, D.L. Collins, and S. Duchesne, eds. Springer International Publishing. 232–239.

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de Vos, B.D., Berendsen, F.F., Viergever, M.A., Staring, M. and Išgum, I. 2017. End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. M.J. Cardoso, T. Arbel, G. Carneiro, T. Syeda-Mahmood, J.M.R.S. Tavares, M. Moradi, A. Bradley, H. Greenspan, J.P. Papa, A. Madabhushi, J.C. Nascimento, J.S. Cardoso, V. Belagiannis, and Z. Lu, eds. Springer International Publishing. 204–212.

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Dzyubachyk, O., Staring, M., Reijnierse, M., Lelieveldt, B.P.F. and van der Geest, R.J. 2017. Inter-station intensity standardization for whole-body MR data: Inter-Station Intensity Standardization for Whole-Body MR Data. Magnetic Resonance in Medicine. 77, 1 (2017), 422–433. DOI:https://doi.org/10.1002/mrm.26098.

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Gao, S., van ’t Klooster, R., Brandts, A., Roes, S.D., Alizadeh Dehnavi, R., de Roos, A., Westenberg, J.J.M. and van der Geest, R.J. 2017. Quantification of common carotid artery and descending aorta vessel wall thickness from MR vessel wall imaging using a fully automated processing pipeline: Quantification of CCA and DAO. Journal of Magnetic Resonance Imaging. 45, 1 (2017), 215–228. DOI:https://doi.org/10.1002/jmri.25332.

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She, H.L., Roest, A.A.W., Calkoen, E.E., van den Boogaard, P.J., van der Geest, R.J., Hazekamp, M.G., de Roos, A. and Westenberg, J.J.M. 2017. Comparative Evaluation of Flow Quantification across the Atrioventricular Valve in Patients with Functional Univentricular Heart after Fontan’s Surgery and Healthy Controls: Measurement by 4D Flow Magnetic Resonance Imaging and Streamline Visualization: Measurement by 4D Flow MRI and Streamline Visualization. Congenital Heart Disease. 12, 1 (2017), 40–48. DOI:https://doi.org/10.1111/chd.12397.

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Pelgrim, G.J., Nieuwenhuis, E.R., Duguay, T.M., van der Geest, R.J., Varga-Szemes, A., Slump, C.H., Fuller, S.R., Oudkerk, M., Schoepf, U.J. and Vliegenthart, R. 2017. Optimal timing of image acquisition for arterial first pass CT myocardial perfusion imaging. European Journal of Radiology. 86, (2017), 227–233. DOI:https://doi.org/10.1016/j.ejrad.2016.11.024.

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Elbaz, M.S.M., van der Geest, R.J., Calkoen, E.E., de Roos, A., Lelieveldt, B.P.F., Roest, A.A.W. and Westenberg, J.J.M. 2017. Assessment of viscous energy loss and the association with three-dimensional vortex ring formation in left ventricular inflow: In vivo evaluation using four-dimensional flow MRI: Assessment of Viscous Energy Loss during Diastolic Filling. Magnetic Resonance in Medicine. 77, 2 (2017), 794–805. DOI:https://doi.org/10.1002/mrm.26129.

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van Rosendael, A.R., Dimitriu-Leen, A.C., van Rosendael, P.J., Leung, M., Smit, J.M., Saraste, A., Knuuti, J., van der Geest, R.J., van der Arend, B.W.H., van Zwet, E.W., Scholte, A.J., Delgado, V. and Bax, J.J. 2017. Association Between Posterior Left Atrial Adipose Tissue Mass and Atrial Fibrillation. Circulation: Arrhythmia and Electrophysiology. 10, 2 (2017). DOI:https://doi.org/10.1161/CIRCEP.116.004614.

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Aswendt, M., Schwarz, M., Abdelmoula, W.M., Dijkstra, J. and Dedeurwaerdere, S. 2017. Whole-Brain Microscopy Meets In Vivo Neuroimaging: Techniques, Benefits, and Limitations. Molecular Imaging and Biology. 19, 1 (2017), 1–9. DOI:https://doi.org/10.1007/s11307-016-0988-z.

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Abou, R., Goedemans, L., Geest, R.J. van der, Schalij, M., Marsan, N.A., Delgado, V. and Bax, J. 2017. FUNCTIONAL CONSEQUENCES OF MYOCARDIAL SCAR AFTER MYOCARDIAL INFARCTION: CHARACTERIZATION OF MYOCARDIAL SCAR EXTENT WITH LATE GADOLINIUM CONTRAST ENHANCED CARDIAC MAGNETIC RESONANCE AND IMPACT ON MULTILAYER GLOBAL LONGITUDINAL STRAIN ON SPECKLE TRACKING ECHOCARDIOGRAPHY. Journal of the American College of Cardiology. 69, 11 (2017), 1563. DOI:https://doi.org/10.1016/S0735-1097(17)34952-5.

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Garg, P., Westenberg, J.J., Boogaard, P.J. van den, Swoboda, P.P., Aziz, R., Foley, J.R., Fent, G.J., Tyl, F., Coratella, L., ElBaz, M.S., Geest, R. van der, Higgins, D.M., Greenwood, J.P. and Plein, S. 2017. 026 Dimensional flow cardiovascular magnetic resonance: two-centre, 1.5t, phantom and in-vivo validation study. Heart. 103, Suppl 1 (2017), A21.2-A22. DOI:https://doi.org/10.1136/heartjnl-2017-311399.26.

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Sotomi, Y. et al. 2017. First-in-man six-month results of a surface-modified coronary stent system in native coronary stenosis. EuroIntervention. 12, 17 (2017), 2118–2127. DOI:https://doi.org/10.4244/EIJ-D-16-00975.

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Höke, U., Khidir, M.J.H., van der Geest, R.J., Schalij, M.J., Bax, J.J., Delgado, V. and Ajmone Marsan, N. 2017. Relation of Myocardial Contrast-Enhanced T 1 Mapping by Cardiac Magnetic Resonance to Left Ventricular Reverse Remodeling After Cardiac Resynchronization Therapy in Patients With Nonischemic Cardiomyopathy. The American Journal of Cardiology. 119, 9 (2017), 1456–1462. DOI:https://doi.org/10.1016/j.amjcard.2017.01.023.

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Shahzad, R., Tao, Q., Dzyubachyk, O., Staring, M., Lelieveldt, B.P.F. and van der Geest, R.J. 2017. Fully-automatic left ventricular segmentation from long-axis cardiac cine MR scans. Medical Image Analysis. 39, (2017), 44–55. DOI:https://doi.org/10.1016/j.media.2017.04.004.

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Gao, X., Boccalini, S., Kitslaar, P.H., Budde, R.P.J., Attrach, M., Tu, S., de Graaf, M.A., Ondrus, T., Penicka, M., Scholte, A.J.H.A., Lelieveldt, B.P.F., Dijkstra, J. and Reiber, J.H.C. 2017. Quantification of aortic annulus in computed tomography angiography: Validation of a fully automatic methodology. European Journal of Radiology. 93, (2017), 1–8. DOI:https://doi.org/10.1016/j.ejrad.2017.04.020.

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Venlet, J., Piers, S.R.D., Kapel, G.F.L., de Riva, M., Pauli, P.F.G., van der Geest, R.J. and Zeppenfeld, K. 2017. Unipolar Endocardial Voltage Mapping in the Right Ventricle: Optimal Cutoff Values Correcting for Computed Tomography–Derived Epicardial Fat Thickness and Their Clinical Value for Substrate Delineation. Circulation: Arrhythmia and Electrophysiology. 10, 8 (2017). DOI:https://doi.org/10.1161/CIRCEP.117.005175.

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Varga-Szemes, A., van der Geest, R.J., Schoepf, U.J., Spottiswoode, B.S., De Cecco, C.N., Muscogiuri, G., Wichmann, J.L., Mangold, S., Fuller, S.R., Maurovich-Horvat, P., Merkely, B., Litwin, S.E., Vliegenthart, R. and Suranyi, P. 2017. Effect of inversion time on the precision of myocardial late gadolinium enhancement quantification evaluated with synthetic inversion recovery MR imaging. European Radiology. 27, 8 (2017), 3235–3243. DOI:https://doi.org/10.1007/s00330-016-4665-z.

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Doorenweerd, N., Mahfouz, A., van Putten, M., Kaliyaperumal, R., ‘t Hoen, P., Hendriksen, J., Aartsma-Rus, A., Verschuuren, J., Niks, E., Reinders, M., Kan, H. and Lelieveldt, B. 2017. Timing and localization of human dystrophin isoform expression provide insights into the cognitive phenotype of Duchenne muscular dystrophy. Neuromuscular Disorders. 27, (2017), S115. DOI:https://doi.org/10.1016/j.nmd.2017.06.087.

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Gao, S., van ‘t Klooster, R., Kitslaar, P.H., Coolen, B.F., van den Berg, A.M., Smits, L.P., Shahzad, R., Shamonin, D.P., de Koning, P.J.H., Nederveen, A.J. and van der Geest, R.J. 2017. Learning-based automated segmentation of the carotid artery vessel wall in dual-sequence MRI using subdivision surface fitting. Medical Physics. 44, 10 (2017), 5244–5259. DOI:https://doi.org/10.1002/mp.12476.

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Cao, Q., Broersen, A., de Graaf, M.A., Kitslaar, P.H., Yang, G., Scholte, A.J., Lelieveldt, B.P.F., Reiber, J.H.C. and Dijkstra, J. 2017. Automatic identification of coronary tree anatomy in coronary computed tomography angiography. The International Journal of Cardiovascular Imaging. 33, 11 (2017), 1809–1819. DOI:https://doi.org/10.1007/s10554-017-1169-0.

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Aizenberg, E., van den Berg, R., Ez-Zaitouni, Z., van der Heijde, D., Reijnierse, M., Dzyubachyk, O. and Lelieveldt, B.P.F. 2017. Computer-aided evaluation of inflammatory changes over time on MRI of the spine in patients with suspected axial spondyloarthritis: a feasibility study. BMC Medical Imaging. 17, 1 (2017). DOI:https://doi.org/10.1186/s12880-017-0226-4.

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Doorenweerd, N., Mahfouz, A., van Putten, M., Kaliyaperumal, R., t’ Hoen, P.A.C., Hendriksen, J.G.M., Aartsma-Rus, A.M., Verschuuren, J.J.G.M., Niks, E.H., Reinders, M.J.T., Kan, H.E. and Lelieveldt, B.P.F. 2017. Timing and localization of human dystrophin isoform expression provide insights into the cognitive phenotype of Duchenne muscular dystrophy. Scientific Reports. 7, 1 (2017). DOI:https://doi.org/10.1038/s41598-017-12981-5.

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van Unen, V., Höllt, T., Pezzotti, N., Li, N., Reinders, M.J.T., Eisemann, E., Koning, F., Vilanova, A. and Lelieveldt, B.P.F. 2017. Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types. Nature Communications. 8, 1 (2017). DOI:https://doi.org/10.1038/s41467-017-01689-9.

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Elgavish, G.A., Simor, T., van der Geest, R.J., Suranyi, P., Kiss, P.P., Lenkey, Z., Kirschner, R., Wang, D., Brott, B.C. and Varga-Szemes, A. 2017. The MRI characteristics of the no-flow region are similar in reperfused and non-reperfused myocardial infarcts: an MRI and histopathology study in swine. European Radiology Experimental. 1, 1 (2017), 2. DOI:https://doi.org/10.1186/s41747-017-0001-x.

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Garg, P. et al. 2017. Extra-cellular expansion in the normal, non-infarcted myocardium is associated with worsening of regional myocardial function after acute myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 19, 1 (2017), 73. DOI:https://doi.org/10.1186/s12968-017-0384-0.

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Crandon, S., Elbaz, M.S.M., Westenberg, J.J.M., van der Geest, R.J., Plein, S. and Garg, P. 2017. Clinical applications of intra-cardiac four-dimensional flow cardiovascular magnetic resonance: A systematic review. International Journal of Cardiology. 249, (2017), 486–493. DOI:https://doi.org/10.1016/j.ijcard.2017.07.023.

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Huisman, S.M.H., van Lew, B., Mahfouz, A., Pezzotti, N., Höllt, T., Michielsen, L., Vilanova, A., Reinders, M.J.T. and Lelieveldt, B.P.F. 2017. BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptome. Nucleic Acids Research. (Jan. 2017), gkx046. DOI:https://doi.org/10.1093/nar/gkx046.

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Mulder, I.A., Khmelinskii, A., Dzyubachyk, O., de Jong, S., Rieff, N., Wermer, M.J.H., Hoehn, M., Lelieveldt, B.P.F. and van den Maagdenberg, A.M.J.M. 2017. Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion. Frontiers in Neuroinformatics. 11, (Jan. 2017). DOI:https://doi.org/10.3389/fninf.2017.00003.

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Precht, H., Kitslaar, P.H., Broersen, A., Gerke, O., Dijkstra, J., Thygesen, J., Egstrup, K. and Lambrechtsen, J. 2017. First experiences with model based iterative reconstructions influence on quantitative plaque volume and intensity measurements in coronary computed tomography angiography. Radiography. 23, 1 (Feb. 2017), 77–79. DOI:https://doi.org/10.1016/j.radi.2016.08.003.

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Stegehuis, P.L. et al. 2017. Toward optical guidance during endoscopic ultrasound-guided fine needle aspirations of pancreatic masses using single fiber reflectance spectroscopy: a feasibility study. Journal of Biomedical Optics. 22, 2 (Feb. 2017), 024001. DOI:https://doi.org/10.1117/1.JBO.22.2.024001.

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Sun, Z., van de Giessen, M., Lelieveldt, B.P.F. and Staring, M. 2017. Detection of Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using Longitudinal Brain MRI. Frontiers in Neuroinformatics. 11, (Feb. 2017). DOI:https://doi.org/10.3389/fninf.2017.00016.

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Clemmensen, T.S., Holm, N.R., Eiskjær, H., Løgstrup, B.B., Dijkstra, J., Terkelsen, C.J., Maeng, M., Christiansen, E.H. and Poulsen, S.H. 2017. Early Changes in the Coronary Microstructure After Heart Transplantation: A Prospective Optical Coherence Tomography Study. The Journal of Heart and Lung Transplantation. 36, 4 (Apr. 2017), S143. DOI:https://doi.org/10.1016/j.healun.2017.01.375.

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Varga-Szemes, A., van der Geest, R.J., Spottiswoode, B.S., Suranyi, P., Ruzsics, B., De Cecco, C.N., Muscogiuri, G., Cannaò, P.M., Fox, M.A., Wichmann, J.L., Vliegenthart, R. and Schoepf, U.J. 2016. Myocardial Late Gadolinium Enhancement: Accuracy of T1 Mapping–based Synthetic Inversion-Recovery Imaging. Radiology. 278, 2 (2016), 374–382. DOI:https://doi.org/10.1148/radiol.2015150162.

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Saygili, G., Staring, M. and Hendriks, E.A. 2016. Confidence Estimation for Medical Image Registration Based On Stereo Confidences. IEEE Transactions on Medical Imaging. 35, 2 (2016), 539–549. DOI:https://doi.org/10.1109/TMI.2015.2481609.

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Eising, E. et al. 2016. Gene co-expression analysis identifies brain regions and cell types involved in migraine pathophysiology: a GWAS-based study using the Allen Human Brain Atlas. Human Genetics. 135, 4 (2016), 425–439. DOI:https://doi.org/10.1007/s00439-016-1638-x.

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Pezzotti, N., Höllt, T., Lelieveldt, B., Eisemann, E. and Vilanova, A. 2016. Hierarchical Stochastic Neighbor Embedding. Computer Graphics Forum. 35, 3 (2016), 21–30. DOI:https://doi.org/10.1111/cgf.12878.

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Varga-Szemes, A., van der Geest, R.J., Schoepf, U.J., De Cecco, C.N., Tesche, C., Fuller, S.R., Elgavish, G.A. and Suranyi, P. 2016. MRI Post-Processing Methods for Myocardial Infarct Quantification. Current Radiology Reports. 4, 6 (2016), 30. DOI:https://doi.org/10.1007/s40134-016-0159-7.

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van der Geest, R.J. and Garg, P. 2016. Advanced Analysis Techniques for Intra-cardiac Flow Evaluation from 4D Flow MRI. Current Radiology Reports. 4, 7 (2016), 38. DOI:https://doi.org/10.1007/s40134-016-0167-7.

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Tao, Q., Ipek, E.G., Shahzad, R., Berendsen, F.F., Nazarian, S. and van der Geest, R.J. 2016. Fully automatic segmentation of left atrium and pulmonary veins in late gadolinium-enhanced MRI: Towards objective atrial scar assessment: LA and PV Segmentation in LGE MRI. Journal of Magnetic Resonance Imaging. 44, 2 (2016), 346–354. DOI:https://doi.org/10.1002/jmri.25148.

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Sotomi, Y. et al. 2016. Is quantitative coronary angiography reliable in assessing the lumen gain after treatment with the everolimus-eluting bioresorbable polylactide scaffold? EuroIntervention. 12, 8 (2016), e998–e1008. DOI:https://doi.org/10.4244/EIJV12I8A163.

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Zeng, Y. et al. 2016. TCT-552 SERIAL ASSESSMENT OF CALCIFICATION 5 YEARS AFTER BIORESORBABLE VASCULAR SCAFFOLD IMPLANTATION: FUSION OF INTRAVASCULAR ULTRASOUND AND OPTICAL COHERENCE TOMOGRAPHY. Journal of the American College of Cardiology. 68, 18 (2016), B223. DOI:https://doi.org/10.1016/j.jacc.2016.09.690.

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Paiman, E.H., Tao, Q., Androulakis, A.F., Zeppenfeld, K., Lamb, H.J. and van der Geest, R.J. 2016. MRI-derived cardiac mechanical dispersion for risk stratification in patients with ischemic cardiomyopathy: a preliminary study. Journal of Cardiovascular Magnetic Resonance. 18, S1 (2016), P67, 1532-429X-18-S1-P67. DOI:https://doi.org/10.1186/1532-429X-18-S1-P67.

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ElBaz, M.S., Roest, A., Calkoen, E., de Koning, P.J., Lelieveldt, B.P., van der Geest, R.J. and Westenberg, J.J. 2016. Apical inflow is associated with increased energy loss during left ventricular diastole in patients with a repaired atrioventricular septal defect: a 4D flow MRI study. Journal of Cardiovascular Magnetic Resonance. 18, S1 (2016), P24, 1532-429X-18-S1-P24. DOI:https://doi.org/10.1186/1532-429X-18-S1-P24.

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Mahfouz, A., Lelieveldt, B.P.F., Grefhorst, A., van Weert, L.T.C.M., Mol, I.M., Sips, H.C.M., van den Heuvel, J.K., Datson, N.A., Visser, J.A., Reinders, M.J.T. and Meijer, O.C. 2016. Genome-wide coexpression of steroid receptors in the mouse brain: Identifying signaling pathways and functionally coordinated regions. Proceedings of the National Academy of Sciences. 113, 10 (Mar. 2016), 2738–2743. DOI:https://doi.org/10.1073/pnas.1520376113.

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Kaila, G., Kitslaar, P., Tu, S., Penicka, M., Dijkstra, J. and Lelieveldt, B. 2016. Fusion of CTA and XA data using 3D centerline registration for plaque visualization during coronary intervention. Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling (Mar. 2016), 978606.

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Nakatani, S., Ishibashi, Y., Sotomi, Y., Perkins, L., Eggermont, J., Grundeken, M.J., Dijkstra, J., Rapoza, R., Virmani, R., Serruys, P.W. and Onuma, Y. 2016. Bioresorption and Vessel Wall Integration of a Fully Bioresorbable Polymeric Everolimus-Eluting Scaffold: Optical Coherence Tomography, Intravascular Ultrasound, and Histological Study in a Porcine Model With 4-Year Follow-Up. JACC: Cardiovascular Interventions. 9, 8 (Apr. 2016), 838–851. DOI:https://doi.org/10.1016/j.jcin.2016.01.030.

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Baiker, M., Dijkstra, J., Milles, J., Löwik, C.W.G.M. and Lelieveldt, B.P.F. 2015. Atlas-based whole-body registration in mice. Handbook of Biomedical Imaging: Methodologies and Clinical Research. N. Paragios, J. Duncan, and N. Ayache, eds. Springer US. 489–500.

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Zhu, D., Wu, Z., van der Geest, R.J., Luo, Y., Sun, J., Jiang, J. and Chen, Y. 2015. Accuracy of Late Gadolinium Enhancement - Magnetic Resonance Imaging in the Measurement of Left Atrial Substrate Remodeling in Patients With Rheumatic Mitral Valve Disease and Persistent Atrial Fibrillation -: A Histopathological Validation Study. International Heart Journal. 56, 5 (2015), 505–510. DOI:https://doi.org/10.1536/ihj.15-098.

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Mann, I., Rodrigo, S.F., van Ramshorst, Beeres, S.L.M.A., Lamb, H.J., Siebelink, H.M., van der Geest, Fibbe, W.E., Schalij, M.J. and Atsma, D.E. 2015. Presence of myocardial scar does not prevent improvement in myocardial perfusion and left ventricular function in refractory angina patients undergoing intramyocardial bone marrow cell injection. 36, (2015), 353–353.

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Yi, C.J., Wu, C.O., Tee, M., Liu, C.-Y., Volpe, G.J., Prince, M.R., Hundley, G.W., Gomes, A.S., van der Geest, R.J., Heckbert, S., Lima, J.A. and Bluemke, D.A. 2015. The association between cardiovascular risk and cardiovascular magnetic resonance measures of fibrosis: the Multi-Ethnic Study of Atherosclerosis (MESA). Journal of Cardiovascular Magnetic Resonance. 17, 1 (2015), 15. DOI:https://doi.org/10.1186/s12968-015-0121-5.

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Mahfouz, A., van de Giessen, M., van der Maaten, L., Huisman, S., Reinders, M., Hawrylycz, M.J. and Lelieveldt, B.P.F. 2015. Visualizing the spatial gene expression organization in the brain through non-linear similarity embeddings. Methods. 73, (2015), 79–89. DOI:https://doi.org/10.1016/j.ymeth.2014.10.004.

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Tao, Q., Piers, S.R.D., Lamb, H.J., Zeppenfeld, K. and van der Geest, R.J. 2015. Preprocedural magnetic resonance imaging for image-guided catheter ablation of scar-related ventricular tachycardia. The International Journal of Cardiovascular Imaging. 31, 2 (2015), 369–377. DOI:https://doi.org/10.1007/s10554-014-0558-x.

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Ninaber, M.K., Stolk, J., Smit, J., Le Roy, E.J., Kroft, L.J.M., Els Bakker, M., de Vries Bouwstra, J.K., Schouffoer, A.A., Staring, M. and Stoel, B.C. 2015. Lung structure and function relation in systemic sclerosis: Application of lung densitometry. European Journal of Radiology. 84, 5 (2015), 975–979. DOI:https://doi.org/10.1016/j.ejrad.2015.01.012.

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Calkoen, E., de Koning, P.J., van der Geest, R.J., de Roos, A., Roest, A. and Westenberg, J.J. 2015. Disturbed left ventricular inflow and ejection pattern in corrected atrioventricular septal defect patients assessed by 4DFlow MRI and particle tracing. Journal of Cardiovascular Magnetic Resonance. 17, S1 (2015), P59, 1532-429X-17-S1-P59. DOI:https://doi.org/10.1186/1532-429X-17-S1-P59.

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ElBaz, M.S., Calkoen, E., Westenberg, J.J., Lelieveldt, B.P., Roest, A. and van der Geest, R.J. 2014. Three dimensional right ventricular diastolic vortex rings: characterization and comparison with left ventricular diastolic vortex rings from 4D flow MRI. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P42, 1532-429X-16-S1-P42. DOI:https://doi.org/10.1186/1532-429X-16-S1-P42.

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Calkoen, E., Westenberg, J.J., Kroft, L.J., van den Boogaard, P.J., Jongbloed, M.R., van der Geest, R.J., de Roos, A. and Roest, A. 2014. Characterization and quantification of dynamic left atrioventricular valve regurgitation after atrioventricular septal defect correction with 4D Flow MRI and retrospective valve tracking. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P138, 1532-429X-16-S1-P138. DOI:https://doi.org/10.1186/1532-429X-16-S1-P138.

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Bizino, M., Tao, Q., Amersfoort, J., van der Geest, R.J. and Lamb, H.J. 2014. 3D free-breathing late gadolinium enhancement 3T MRI: comparison with standard 2D Imaging. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P198, 1532-429X-16-S1-P198. DOI:https://doi.org/10.1186/1532-429X-16-S1-P198.

[1]

Calkoen, E., de Koning, P.J., Roest, A., Kroft, L.J., van der Geest, R.J., van den Boogaard, P.J., Jongbloed, M.R., de Roos, A. and Westenberg, J.J. 2014. The pathway of left ventricular blood flow in healthy subjects and patients with corrected atrio-ventricular septum defect: an observational study using 4DFlow MRI and particle tracing. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P136, 1532-429X-16-S1-P136. DOI:https://doi.org/10.1186/1532-429X-16-S1-P136.

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Magrath, P., Suever, J.D., van der Geest, R.J. and Oshinski, J. 2014. Evaluation of automated contour detection to produce regional delay maps from high temporal resolution cine images in patients undergoing CRT. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P373, 1532-429X-16-S1-P373. DOI:https://doi.org/10.1186/1532-429X-16-S1-P373.

[1]

Calkoen, E., Roest, A., Kroft, L.J., van den Boogaard, P.J., Jongbloed, M.R., van der Geest, R.J., de Roos, A. and Westenberg, J.J. 2014. The added value of streamline visualization in the evaluation of left atrioventricular valve flow and left ventricular diastolic function with 4DFlow MRI. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), P353, 1532-429X-16-S1-P353. DOI:https://doi.org/10.1186/1532-429X-16-S1-P353.

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Romeih, S., van der Geest, R.J., Roest, A., Spijkerboer, A.M., Mulder, B.J., Blom, N.A. and Groenink, M. 2014. Differences in pulmonary flow patterns between surgical and percutaneous implanted bovine valves to restore the right ventricle outflow tract continuity: a four dimensional flow magnetic resonance study. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), O44. DOI:https://doi.org/10.1186/1532-429X-16-S1-O44.

[1]

Romeih, S., van der Geest, R.J., Roest, A., Spijkerboer, A.M., Mulder, B.J., Blom, N.A. and Groenink, M. 2014. Four dimensional pulmonary flow evaluation in adolescent patients after surgical and percutaneous pulmonary valve implantation. Journal of Cardiovascular Magnetic Resonance. 16, S1 (2014), O45. DOI:https://doi.org/10.1186/1532-429X-16-S1-O45.

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Hogendoorn, S., Duijnisveld, B.J., van Duinen, S.G., Stoel, B.C., van Dijk, J.G., Fibbe, W.E. and Nelissen, R.G.H.H. 2014. Local injection of autologous bone marrow cells to regenerate muscle in patients with traumatic brachial plexus injury: a pilot study. Bone & Joint Research. 3, 2 (2014), 38–47. DOI:https://doi.org/10.1302/2046-3758.32.2000229.

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Chu, L., Corona-Villalobos, C.P., Kamel, I.R., Pozios, I., Sorensen, L., Luo, H., Van Der Geest, R., Van Der Geest, R., Gai, N., Bluemke, D., Abraham, M., Abraham, T. and Zimmerman, S. 2014. T1 MAPPING DOES NOT CORRELATE WITH CLINICAL AND HEMODYNAMIC FEATURES OF THE HYPERTROPHIC CARDIOMYOPATHY PHENOTYPE IN ESTABLISHED DISEASE. Journal of the American College of Cardiology. 63, 12 (2014), A1200. DOI:https://doi.org/10.1016/S0735-1097(14)61200-6.

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van IJsseldijk, E.A., Valstar, E.R., Stoel, B.C., de Ridder, R., Nelissen, R.G.H.H. and Kaptein, B.L. 2014. Measuring polyethylene wear in total knee arthroplasty by RSA: Differences between weight-bearing and non-weight-bearing positioning: MEASURING POLYETHYLENE WEAR IN TKA BY RSA. Journal of Orthopaedic Research. 32, 4 (2014), 613–617. DOI:https://doi.org/10.1002/jor.22579.

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Calkoen, E.E., Roest, A.A.W., van der Geest, R.J., de Roos, A. and Westenberg, J.J.M. 2014. Cardiovascular Function and Flow by 4-Dimensional Magnetic Resonance Imaging Techniques: New Applications. Journal of Thoracic Imaging. 29, 3 (2014), 185–196. DOI:https://doi.org/10.1097/RTI.0000000000000068.

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Bizino, M.B., Bonetti, C., van der Geest, R.J., Versluis, M.J., Webb, A.G. and Lamb, H.J. 2014. High Spatial Resolution Coronary Magnetic Resonance Angiography at 7 T: Comparison With Low Spatial Resolution Bright Blood Imaging. Investigative Radiology. 49, 5 (2014), 326–330. DOI:https://doi.org/10.1097/RLI.0000000000000047.

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Prins, A.H., Kaptein, B.L., Banks, S.A., Stoel, B.C., Nelissen, R.G.H.H. and Valstar, E.R. 2014. Detecting condylar contact loss using single-plane fluoroscopy: A comparison with in vivo force data and in vitro bi-plane data. Journal of Biomechanics. 47, 7 (2014), 1682–1688. DOI:https://doi.org/10.1016/j.jbiomech.2014.02.031.

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Nguyen, V.L., Backes, W.H., Kooi, M.E., Wishaupt, M.C.J., Hellenthal, F.A.M.V.I., Bosboom, E.M.H., van der Geest, R.J., Schurink, G.W.H. and Leiner, T. 2014. Quantification of abdominal aortic aneurysm wall enhancement with dynamic contrast-enhanced MRI: Feasibility, reproducibility, and initial experience: DCE-MRI of AAA Vessel Wall. Journal of Magnetic Resonance Imaging. 39, 6 (2014), 1449–1456. DOI:https://doi.org/10.1002/jmri.24302.

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van Wijk, D.F., Strang, A.C., Duivenvoorden, R., Enklaar, D.-J.F., van der Geest, R.J., Kastelein, J.J.P., de Groot, E., Stroes, E.S.G. and Nederveen, A.J. 2014. Increasing spatial resolution of 3T MRI scanning improves reproducibility of carotid arterial wall dimension measurements. Magnetic Resonance Materials in Physics, Biology and Medicine. 27, 3 (2014), 219–226. DOI:https://doi.org/10.1007/s10334-013-0407-2.

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Varga-Szemes, A., Simor, T., Lenkey, Z., van der Geest, R.J., Kirschner, R., Toth, L., Brott, B.C., Elgavish, A. and Elgavish, G.A. 2014. Infarct density distribution by MRI in the porcine model of acute and chronic myocardial infarction as a potential method transferable to the clinic. The International Journal of Cardiovascular Imaging. 30, 5 (2014), 937–948. DOI:https://doi.org/10.1007/s10554-014-0408-x.

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van ‘t Klooster, R., Truijman, M.T.B., van Dijk, A.C., Schreuder, F.H.B.M., Kooi, M.E., van der Lugt, A. and van der Geest, R.J. 2014. Visualization of Local Changes in Vessel Wall Morphology and Plaque Progression in Serial Carotid Artery Magnetic Resonance Imaging. Stroke. 45, 8 (2014). DOI:https://doi.org/10.1161/STROKEAHA.114.004767.

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Piers, S.R.D., Tao, Q., de Riva Silva, M., Siebelink, H.-M., Schalij, M.J., van der Geest, R.J. and Zeppenfeld, K. 2014. CMR–Based Identification of Critical Isthmus Sites of Ischemic and Nonischemic Ventricular Tachycardia. JACC: Cardiovascular Imaging. 7, 8 (2014), 774–784. DOI:https://doi.org/10.1016/j.jcmg.2014.03.013.

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Rudyanto, R.D. et al. 2014. Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Analysis. 18, 7 (2014), 1217–1232. DOI:https://doi.org/10.1016/j.media.2014.07.003.

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van IJsseldijk, E.A., Harman, M.K., Luetzner, J., Valstar, E.R., Stoel, B.C., Nelissen, R.G.H.H. and Kaptein, B.L. 2014. Validation of a model-based measurement of the minimum insert thickness of knee prostheses: a retrieval study. Bone & Joint Research. 3, 10 (2014), 289–296. DOI:https://doi.org/10.1302/2046-3758.310.2000304.

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Watanabe, E. et al. 2014. Infarct Tissue Heterogeneity by Contrast-Enhanced Magnetic Resonance Imaging Is a Novel Predictor of Mortality in Patients With Chronic Coronary Artery Disease and Left Ventricular Dysfunction. Circulation: Cardiovascular Imaging. 7, 6 (2014), 887–894. DOI:https://doi.org/10.1161/CIRCIMAGING.113.001293.

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Elbaz, M.S.M., Calkoen, E.E., Westenberg, J.J.M., Lelieveldt, B.P.F., Roest, A.A.W. and van der Geest, R.J. 2014. Vortex flow during early and late left ventricular filling in normal subjects: quantitative characterization using retrospectively-gated 4D flow cardiovascular magnetic resonance and three-dimensional vortex core analysis. Journal of Cardiovascular Magnetic Resonance. 16, 1 (2014). DOI:https://doi.org/10.1186/s12968-014-0078-9.

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Nguyen, V.L., Leiner, T., Hellenthal, F.A.M.V.I., Backes, W.H., Wishaupt, M.C.J., van der Geest, R.J., Heeneman, S., Kooi, M.E. and Schurink, G.W.H. 2014. Abdominal Aortic Aneurysms with High Thrombus Signal Intensity on Magnetic Resonance Imaging are Associated with High Growth Rate. European Journal of Vascular and Endovascular Surgery. 48, 6 (2014), 676–684. DOI:https://doi.org/10.1016/j.ejvs.2014.04.025.

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Kirisli, H.A., Gupta, V., Shahzad, R., Al Younis, I., Dharampal, A., Geuns, R.-J. v., Scholte, A.J., de Graaf, M.A., Joemai, R.M.S., Nieman, K., van Vliet, L., van Walsum, T., Lelieveldt, B. and Niessen, W.J. 2014. Additional Diagnostic Value of Integrated Analysis of Cardiac CTA and SPECT MPI Using the SMARTVis System in Patients with Suspected Coronary Artery Disease. Journal of Nuclear Medicine. 55, 1 (Jan. 2014), 50–57. DOI:https://doi.org/10.2967/jnumed.113.119842.

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Kröner, E.S.J., Lamb, H.J., Siebelink, H.-M.J., Putter, H., van der Geest, R.J., van der Wall, E.E., de Roos, A. and Westenberg, J.J.M. 2014. Coupling of vessel wall morphology and function in the aorta and the carotid artery: an evaluation with MRI. The International Journal of Cardiovascular Imaging. 30, 1 (Jan. 2014), 91–98. DOI:https://doi.org/10.1007/s10554-013-0280-0.

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Staring, M., Bakker, M.E., Stolk, J., Shamonin, D.P., Reiber, J.H.C. and Stoel, B.C. 2014. Towards local progression estimation of pulmonary emphysema using CT: Towards local progression estimation of pulmonary emphysema using CT. Medical Physics. 41, 2 (Jan. 2014), 021905. DOI:https://doi.org/10.1118/1.4851535.

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Luijnenburg, S.E., Mekic, S., van den Berg, J., van der Geest, R.J., Moelker, A., Roos-Hesselink, J.W., Bogers, A.J.J.C., de Rijke, Y.B., Strengers, J.L.M., Mulder, B.J.M., Vliegen, H.W. and Helbing, W.A. 2014. Ventricular response to dobutamine stress relates to the change in peak oxygen uptake during the 5-year follow-up in young patients with repaired tetralogy of Fallot. European Heart Journal - Cardiovascular Imaging. 15, 2 (Feb. 2014), 189–194. DOI:https://doi.org/10.1093/ehjci/jet130.

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Kamperidis, V., de Graaf, M.A., Broersen, A., Ahmed, W., Sianos, G., Delgado, V., Dijkstra, J., Bax, J.J. and Scholte, A.J. 2014. Prognostic Value of Aortic and Mitral Valve Calcium Detected by Contrast Cardiac Computed Tomography Angiography in Patients With Suspicion of Coronary Artery Disease. The American Journal of Cardiology. 113, 5 (Mar. 2014), 772–778. DOI:https://doi.org/10.1016/j.amjcard.2013.11.027.

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Wang, A., Eggermont, J., Dekker, N., de Koning, P.J.H., Reiber, J.H.C. and Dijkstra, J. 2014. 3D assessment of stent cell size and side branch access in intravascular optical coherence tomographic pullback runs. Computerized Medical Imaging and Graphics. 38, 2 (Mar. 2014), 113–122. DOI:https://doi.org/10.1016/j.compmedimag.2013.08.007.

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Tao, Q., Lamb, H.J., Zeppenfeld, K. and van der Geest, R.J. 2014. Myocardial scar identification based on analysis of Look–Locker and 3D late gadolinium enhanced MRI. The International Journal of Cardiovascular Imaging. (Mar. 2014). DOI:https://doi.org/10.1007/s10554-014-0402-3.

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Qiao, Y., Lelieveldt, B.P.F. and Staring, M. 2014. Fast automatic estimation of the optimization step size for nonrigid image registration. (San Diego, California, USA, Mar. 2014), 90341A.

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Mahfouz, A., Ziats, M.N., Rennert, O.M., Lelieveldt, B.P.F. and Reinders, M.J.T. 2014. Genomic connectivity networks based on the BrainSpan atlas of the developing human brain. (San Diego, California, USA, Mar. 2014), 90344G.

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Abdelmoula, W.M., Carreira, R.J., Shyti, R., Balluff, B., Tolner, E., Maagdenberg, A.M.J.M. van den, Lelieveldt, B.P.F., McDonnell, L. and Dijkstra, J. 2014. Automatic registration of imaging mass spectrometry data to the Allen Brain Atlas transcriptome. Medical Imaging 2014: Image Processing (Mar. 2014), 90343M.

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Karanasos, A., Schuurbiers, J., Gnanadesigan, M., Ditzhuijzen, N. van, Dijkstra, J., Soest, G.V., Zijlstra, F., Geuns, R. van, Wentzel, J. and Regar, E. 2014. Association of Wall Shear Stress with Vascular Healing Response by Oct 5 Years After Bioresorbable Scaffold Implantation. Journal of the American College of Cardiology. 63, 12 Supplement (Apr. 2014), A1772. DOI:https://doi.org/10.1016/S0735-1097(14)61775-7.

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Karanasos, A., Gnanadesigan, M., Ditzhuijzen, N. van, Simsek, C., Freire, R., Dijkstra, J., Soest, G.V., Zijlstra, F., Geuns, R. van and Regar, E. 2014. Optical Coherence Tomography Assessment of the 5-Year Vascular Healing Response Following Implantation of the Everolimus-Eluting Bioresorbable Vascular Scaffold. Journal of the American College of Cardiology. 63, 12 Supplement (Apr. 2014), A1883. DOI:https://doi.org/10.1016/S0735-1097(14)61886-6.

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Precht, H., Leth, P.M., Thygesen, J., Hardt-Madsen, M., Nielsen, B., Falk, E., Egstrup, K., Gerke, O., Broersen, A., Kitslaar, P.H., Dijkstra, J. and Lambrechtsen, J. 2014. Optimisation of post mortem cardiac computed tomography compared to optical coherence tomography and histopathology – Technical note. Journal of Forensic Radiology and Imaging. 2, 2 (Apr. 2014), 85–90. DOI:https://doi.org/10.1016/j.jofri.2013.12.006.

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Abdelmoula, W.M., Carreira, R.J., Shyti, R., Balluff, B., van Zeijl, R.J.M., Tolner, E.A., Lelieveldt, B.F.P., van den Maagdenberg, A.M.J.M., McDonnell, L.A. and Dijkstra, J. 2014. Automatic Registration of Mass Spectrometry Imaging Data Sets to the Allen Brain Atlas. Analytical Chemistry. 86, 8 (Apr. 2014), 3947–3954. DOI:https://doi.org/10.1021/ac500148a.

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Maška, M. et al. 2014. A benchmark for comparison of cell tracking algorithms. Bioinformatics. 30, 11 (Jun. 2014), 1609–1617. DOI:https://doi.org/10.1093/bioinformatics/btu080.

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de Graaf, M.A., Broersen, A., Ahmed, W., Kitslaar, P.H., Dijkstra, J., Kroft, L.J., Delgado, V., Bax, J.J., Reiber, J.H.C. and Scholte, A.J. 2014. Feasibility of an Automated Quantitative Computed Tomography Angiography–Derived Risk Score for Risk Stratification of Patients With Suspected Coronary Artery Disease. The American Journal of Cardiology. 113, 12 (Jun. 2014), 1947–1955. DOI:https://doi.org/10.1016/j.amjcard.2014.03.034.

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Wang, A., Eggermont, J., Reiber, J.H.C. and Dijkstra, J. 2014. Fully automated side branch detection in intravascular optical coherence tomography pullback runs. Biomedical Optics Express. 5, 9 (Sep. 2014), 3160–3173. DOI:https://doi.org/10.1364/BOE.5.003160.

2881796 2013 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

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Shamonin, D. 2013. Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer’s disease. Frontiers in Neuroinformatics. 7, (2013). DOI:https://doi.org/10.3389/fninf.2013.00050.

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Xing, D., Yang, F., Gao, J., Qiu, X., Tu, S. and Dijkstra, J. 2013. Intravascular Ultrasound Image Hard Plaque Recognition and Media-adventitia Border Detection. World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China (Berlin, Heidelberg, 2013), 931–934.

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Gupta, V., Van de Giessen, M., Kirisli, H., Kirschbaum, S., van der Geest, R.J., Niessen, W.J. and Lelieveldt, B. 2013. Robust motion correction in the frequency domain of cardiac MR stress perfusion sequences. Journal of Cardiovascular Magnetic Resonance. 15, Suppl 1 (2013), P41. DOI:https://doi.org/10.1186/1532-429X-15-S1-P41.

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Dzyubachyk, O., Tao, Q., Poot, D.H.J., Lamb, H., Zeppenfeld, K., Lelieveldt, B.P.F. and van der Geest, R.J. 2013. Improved Myocardial Scar Characterization by Super-Resolution Reconstruction in Late Gadolinium Enhanced MRI. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. K. Mori, I. Sakuma, Y. Sato, C. Barillot, and N. Navab, eds. Springer Berlin Heidelberg. 147–154.

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van Hoof, R. 2013. Determination of the vascular input function using magnitude or phase-based MRI: influence on dynamic contrast-enhanced MRI model parameters in carotid plaques. (2013), 1478 words. DOI:https://doi.org/10.1594/ECR2013/B-0118.

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Hooijmans, M., Dzyubachyk, O., Nehrke, K., Koken, P., Versluis, M., Kan, H. and Börnert, P. 2013. 2013 Improved fast multi-station water-fat imaging at 3 T. (2013).

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Dzyubachyk, O., van der Geest, R.J., Staring, M., Börnert, P., Reijnierse, M., Bloem, J.L. and Lelieveldt, B.P.F. 2013. Joint Intensity Inhomogeneity Correction for Whole-Body MR Data. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013 (Berlin, Heidelberg, 2013), 106–113.

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van Huls van Taxis, C.F., Wijnmaalen, A.P., Piers, S.R., van der Geest, R.J., Schalij, M.J. and Zeppenfeld, K. 2013. Real-Time Integration of MDCT-Derived Coronary Anatomy and Epicardial Fat. JACC: Cardiovascular Imaging. 6, 1 (2013), 42–52. DOI:https://doi.org/10.1016/j.jcmg.2012.05.016.

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Changyan Xiao, Staring, M., Yaonan Wang, Shamonin, D.P. and Stoel, B.C. 2013. Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images. IEEE Transactions on Image Processing. 22, 1 (2013), 174–188. DOI:https://doi.org/10.1109/TIP.2012.2216277.

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Gerretsen, S., Kessels, A.G., Nelemans, P.J., Dijkstra, J., Reiber, J.H.C., van der Geest, R.J., Katoh, M., Waltenberger, J., van Engelshoven, J.M.A., Botnar, R.M., Kooi, M.E. and Leiner, T. 2013. Detection of coronary plaques using MR coronary vessel wall imaging: validation of findings with intravascular ultrasound. European Radiology. 23, 1 (2013), 115–124. DOI:https://doi.org/10.1007/s00330-012-2576-1.

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Rizzi, P.B., Nacif, M., Volpe, G.J., Turkbey, E.B., Venkatesh, B.A., van der Geest, R.J., Bluemke, D.A. and Lima, J.A. 2013. Quantification of myocardial scar assessed by late gadolinium enhancement CMR in the multi-ethnics study of atherosclerosis: comparisons of 7 different methods. Journal of Cardiovascular Magnetic Resonance. 15, S1 (2013), O49. DOI:https://doi.org/10.1186/1532-429X-15-S1-O49.

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ElBaz, M.S., Westenberg, J.J., van den Boogaard, P.J., Lelieveldt, B. and van der Geest, R.J. 2013. Quantification of diastolic vortex shape deformation in left ventricular filling from 4D flow MRI. Journal of Cardiovascular Magnetic Resonance. 15, S1 (2013), P79, 1532-429X-15-S1-P79. DOI:https://doi.org/10.1186/1532-429X-15-S1-P79.

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de Koning, P.J., van der Geest, R.J. and Westenberg, J.J. 2013. Objective method for assessment of reliability of particle tracing visualization in 4D FLOW MRI. Journal of Cardiovascular Magnetic Resonance. 15, S1 (2013), E29, 1532-429X-15-S1-E29. DOI:https://doi.org/10.1186/1532-429X-15-S1-E29.

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Tao, Q., Lamb, H.J., Zeppenfeld, K. and van der Geest, R.J. 2013. A new method for objective myocardial scar characterization using MR late gadolinium enhancement and post-contrast look-locker sequences. Journal of Cardiovascular Magnetic Resonance. 15, S1 (2013), P182, 1532-429X-15-S1-P182. DOI:https://doi.org/10.1186/1532-429X-15-S1-P182.

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Heydari, B., Shah, R., Abbasi, S., Feng, J.H., Farhad, H., Neilan, T.G., Blankstein, R., van der Geest, R.J., Abdullah, S., Francis, S., Hoffmann, U., Jerosch-Herold, M. and Kwong, R.Y. 2013. Diabetes remains an independent risk factor for adverse remodeling following acute myocardial infarction even with quantification of total infarct size and change in myocardial extracellular volume fraction by CMR. Journal of Cardiovascular Magnetic Resonance. 15, S1 (2013), P185, 1532-429X-15-S1-P185. DOI:https://doi.org/10.1186/1532-429X-15-S1-P185.

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Brandts, A., Westenberg, J.J.M., van Elderen, S.G.C., Kroft, L.J.M., Roes, S.D., Tamsma, J.T., van der Geest, R.J., Lamb, H.J., Doornbos, J., Putter, H., Stuber, M. and de Roos, A. 2013. Site-Specific Coupling Between Vascular Wall Thickness and Function: An Observational MRI Study of Vessel Wall Thickening and Stiffening in Hypertension. Investigative Radiology. 48, 2 (2013), 86–91. DOI:https://doi.org/10.1097/RLI.0b013e31827f6410.

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Tao, Q., van de Giessen, M., Piers, S., Zeppenfeld, K. and van der Geest, R. 2013. Combining magnetic resonance late gadolinium enhanced and Look-Locker sequences for myocardial scar characterization. 2013 IEEE 10th International Symposium on Biomedical Imaging (San Francisco, CA, USA, 2013), 330–333.

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van IJsseldijk, E.A., Lebel, B., Stoel, B.C., Valstar, E.R., Gouzy, S., Vielpeau, C. and Kaptein, B.L. 2013. Validation of the in vivo volumetric wear measurement for total knee prostheses in model-based RSA. Journal of Biomechanics. 46, 7 (2013), 1387–1391. DOI:https://doi.org/10.1016/j.jbiomech.2013.02.021.

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Kröner, E.S.J., Westenberg, J.J., van der Geest, R.J., Brouwer, N.J., Doornbos, J., Kooi, M.E., van der Wall, E.E., Lamb, H.J. and Siebelink, H.J. 2013. High field carotid vessel wall imaging: A study on reproducibility. European Journal of Radiology. 82, 4 (2013), 680–685. DOI:https://doi.org/10.1016/j.ejrad.2012.11.028.

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Kwee, R.M., van Oostenbrugge, R.J., Mess, W.H., Prins, M.H., van der Geest, R.J., ter Berg, J.W.M., Franke, C.L., Korten, A.G.G.C., Meems, B.J., van Engelshoven, J.M.A., Wildberger, J.E. and Kooi, M.E. 2013. MRI of carotid atherosclerosis to identify TIA and stroke patients who are at risk of a recurrence. Journal of Magnetic Resonance Imaging. 37, 5 (2013), 1189–1194. DOI:https://doi.org/10.1002/jmri.23918.

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Dzyubachyk, O., Lelieveldt, B.P.F., Blaas, J., Reijnierse, M., Webb, A. and van der Geest, R.J. 2013. Automated algorithm for reconstruction of the complete spine from multistation 7T MR data: Reconstruction of the Complete Spine from 7T MR Data. Magnetic Resonance in Medicine. 69, 6 (2013), 1777–1786. DOI:https://doi.org/10.1002/mrm.24404.

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de Graaf, M.A., Broersen, A., Kitslaar, P.H., Roos, C.J., Dijkstra, J., Lelieveldt, B.P.F., Jukema, J.W., Schalij, M.J., Delgado, V., Bax, J.J., Reiber, J.H.C. and Scholte, A.J. 2013. Automatic quantification and characterization of coronary atherosclerosis with computed tomography coronary angiography: cross-correlation with intravascular ultrasound virtual histology. The International Journal of Cardiovascular Imaging. 29, 5 (2013), 1177–1190. DOI:https://doi.org/10.1007/s10554-013-0194-x.

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Baka, N., Metz, C.T., Schultz, C., Neefjes, L., van Geuns, R.J., Lelieveldt, B.P.F., Niessen, W.J., van Walsum, T. and de Bruijne, M. 2013. Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA. Medical Image Analysis. 17, 6 (2013), 698–709. DOI:https://doi.org/10.1016/j.media.2013.03.003.

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Ewe, S.H., Delgado, V., van der Geest, R., Westenberg, J.J.M., Haeck, M.L.A., Witkowski, T.G., Auger, D., Marsan, N.A., Holman, E.R., de Roos, A., Schalij, M.J., Bax, J.J., Sieders, A. and Siebelink, H.-M.J. 2013. Accuracy of Three-Dimensional Versus Two-Dimensional Echocardiography for Quantification of Aortic Regurgitation and Validation by Three-Dimensional Three-Directional Velocity-Encoded Magnetic Resonance Imaging. The American Journal of Cardiology. 112, 4 (2013), 560–566. DOI:https://doi.org/10.1016/j.amjcard.2013.04.025.

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Luijnenburg, S.E., Peters, R.E., van der Geest, R.J., Moelker, A., Roos-Hesselink, J.W., de Rijke, Y.B., Mulder, B.J.M., Vliegen, H.W. and Helbing, W.A. 2013. Abnormal right atrial and right ventricular diastolic function relate to impaired clinical condition in patients operated for tetralogy of Fallot. International Journal of Cardiology. 167, 3 (2013), 833–839. DOI:https://doi.org/10.1016/j.ijcard.2012.02.011.

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Kröner, E.S.J. et al. 2013. MRI-assessed regional pulse wave velocity for predicting absence of regional aorta luminal growth in marfan syndrome. International Journal of Cardiology. 167, 6 (2013), 2977–2982. DOI:https://doi.org/10.1016/j.ijcard.2012.08.057.

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Beinart, R., Khurram, I.M., Liu, S., Yarmohammadi, H., Halperin, H.R., Bluemke, D.A., Gai, N., van der Geest, R.J., Lima, J.A.C., Calkins, H., Zimmerman, S.L. and Nazarian, S. 2013. Cardiac magnetic resonance T1 mapping of left atrial myocardium. Heart Rhythm. 10, 9 (2013), 1325–1331. DOI:https://doi.org/10.1016/j.hrthm.2013.05.003.

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Piers, S.R.D., Tao, Q., van Huls van Taxis, C.F.B., Schalij, M.J., van der Geest, R.J. and Zeppenfeld, K. 2013. Contrast-Enhanced MRI–Derived Scar Patterns and Associated Ventricular Tachycardias in Nonischemic Cardiomyopathy: Implications for the Ablation Strategy. Circulation: Arrhythmia and Electrophysiology. 6, 5 (2013), 875–883. DOI:https://doi.org/10.1161/CIRCEP.113.000537.

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Piers, S.R.D., van Huls van Taxis, C.F.B., Tao, Q., van der Geest, R.J., Askar, S.F., Siebelink, H.-M.J., Schalij, M.J. and Zeppenfeld, K. 2013. Epicardial substrate mapping for ventricular tachycardia ablation in patients with non-ischaemic cardiomyopathy: a new algorithm to differentiate between scar and viable myocardium developed by simultaneous integration of computed tomography and contrast-enhanced magnetic resonance imaging. European Heart Journal. 34, 8 (Feb. 2013), 586–596. DOI:https://doi.org/10.1093/eurheartj/ehs382.

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van de Giessen, M., Tao, Q., van der Geest, R.J. and Lelieveldt, B.P.F. 2013. Model-based alignment of Look-Locker MRI sequences for calibrated myocardical scar tissue quantification. 2013 IEEE 10th International Symposium on Biomedical Imaging (Apr. 2013), 1038–1041.

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de Graaf, M.A., El-Naggar, H.M., Boogers, M.J., Veltman, C.E., Broersen, A., Kitslaar, P.H., Dijkstra, J., Kroft, L.J., Al Younis, I., Reiber, J.H., Bax, J.J., Delgado, V. and Scholte, A.J. 2013. Automated quantitative coronary computed tomography correlates of myocardial ischaemia on gated myocardial perfusion SPECT. European Journal of Nuclear Medicine and Molecular Imaging. 40, 8 (Aug. 2013), 1171–1180. DOI:https://doi.org/10.1007/s00259-013-2437-4.

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Trusinskis, K., Juhnevica, D., Strenge, K., Saleem, S., Zarakauska, L., Sondore, D., Kumsars, I., Narbute, I., Dijkstra, J. and Erglis, A. 2013. Tissue characterization comparison of culprit lesions between stable coronary disease and ST elevation myocardial infarction patients. European Heart Journal. 34, suppl_1 (Aug. 2013). DOI:https://doi.org/10.1093/eurheartj/eht308.P1297.

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Orhoj, T., Holm, N.R., Dreyer, R., Maeng, M., Krusell, L.R., Dijkstra, J., Kristensen, S.D., Botker, H.E., Lassen, J.F. and Christiansen, E.H. 2013. Healing response after coronary stenting in diabetic versus non-diabetic patients assessed by optical coherence tomography: a matched analysis of baseline and 12-month follow-up. European Heart Journal. 34, suppl_1 (Aug. 2013). DOI:https://doi.org/10.1093/eurheartj/eht309.P3933.

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van ’t Klooster, R., de Koning, P.J.H., Dehnavi, R.A., Tamsma, J.T., de Roos, A., Reiber, J.H.C. and van der Geest, R.J. 2012. Automatic lumen and outer wall segmentation of the carotid artery using deformable three-dimensional models in MR angiography and vessel wall images. Journal of Magnetic Resonance Imaging. 35, 1 (2012), 156–165. DOI:https://doi.org/10.1002/jmri.22809.

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Stockton, K., Bennell, K., Kandiah, D., Paratz, J., Ng, A., van der Geest, R. and Younger, J. 2012. Cardiac Magnetic Resonance Imaging in Women with Systemic Lupus Erythematosus and no Known Cardiovascular Disease. Heart, Lung and Circulation. 21, (2012), S189–S190. DOI:https://doi.org/10.1016/j.hlc.2012.05.470.

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Huétink, K., van ’t Klooster, R., Kaptein, B.L., Watt, I., Kloppenburg, M., Nelissen, R.G.H.H., Reiber, J.H.C. and Stoel, B.C. 2012. Automatic radiographic quantification of hand osteoarthritis; accuracy and sensitivity to change in joint space width in a phantom and cadaver study. Skeletal Radiology. 41, 1 (2012), 41–49. DOI:https://doi.org/10.1007/s00256-011-1110-x.

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Batenburg, W.W., Jansen, P.M., van den Bogaerdt, A.J. and J. Danser, A.H. 2012. Angiotensin II–aldosterone interaction in human coronary microarteries involves GPR30, EGFR, and endothelial NO synthase. Cardiovascular Research. 94, 1 (Apr. 2012), 136–143. DOI:https://doi.org/10.1093/cvr/cvs016.

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Snoeks, T.J.A., Baiker, M., Kaijzel, E.L., Lelieveldt, B.P.F. and Löwik, C.W.G.M. 2012. CT-based handling and analysis of preclinical multimodality imaging data of bone metastases. BoneKEy Reports. 1, 5 (May 2012). DOI:https://doi.org/10.1038/bonekey.2012.79.

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Baiker, M., Staring, M., Löwik, C.W.G.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2011. Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. G. Fichtinger, A. Martel, and T. Peters, eds. Springer Berlin Heidelberg. 516–523.

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Brandts, A., de Roos, A., van Elderen, S.G., Kroft, L.J., Roes, S.D., Reiber, J.H., van der Geest, R.J. and Westenberg, J.J. 2011. Associations between aortic pulse wave velocity and aortic and carotid vessel wall thickness in patients with hypertension: assessment with MRI. Journal of Cardiovascular Magnetic Resonance. 13, Suppl 1 (2011), P72. DOI:https://doi.org/10.1186/1532-429X-13-S1-P72.

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Sposito, A., Coelho-Filho, O.R., Andrade, J.M., Araújo, A.L.R., Abdalla, D.S., Faria, E., van der Geest, R.J., Quinaglia Silva, J.C., Coelho, O.R., Ramires, J.A., Jerosch-Herold, M. and Kwong, R.Y. 2011. Characterization of peri-infarct zone by CMR is a robust predictor of major adverse events and is strongly associated with systemic inflammatory response post-myocardial infarction. Journal of Cardiovascular Magnetic Resonance. 13, Suppl 1 (2011), P180. DOI:https://doi.org/10.1186/1532-429X-13-S1-P180.

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Kröner, E.S., van der Geest, R.J., Scholte, A.J., van den Boogaard, P.J., Hendriksen, D., Kroft, L.J., Groenink, M., Radonic, T., Bax, J.J., de Roos, A., Reiber, J.H. and Westenberg, J.J. 2011. Accuracy of aortic pulse wave velocity assessment with velocity-encoded MRI: validation in patients with Marfan syndrome. Journal of Cardiovascular Magnetic Resonance. 13, Suppl 1 (2011), O71. DOI:https://doi.org/10.1186/1532-429X-13-S1-O71.

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Snoeks, T.J.A., Khmelinskii, A., Lelieveldt, B.P.F., Kaijzel, E.L. and Löwik, C.W.G.M. 2011. Optical advances in skeletal imaging applied to bone metastases. Bone. 48, 1 (2011), 106–114. DOI:https://doi.org/10.1016/j.bone.2010.07.027.

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Brandts, A., Bertini, M., van Dijk, E.-J., Delgado, V., Marsan, N.A., van der Geest, R.J., Siebelink, H.-M.J., de Roos, A., Bax, J.J. and Westenberg, J.J.M. 2011. Left ventricular diastolic function assessment from three-dimensional three-directional velocity-encoded MRI with retrospective valve tracking. Journal of Magnetic Resonance Imaging. 33, 2 (2011), 312–319. DOI:https://doi.org/10.1002/jmri.22424.

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Asghar, M.S., Hansen, A.E., Amin, F.M., van der Geest, R.J., Koning, P. van der, Larsson, H.B.W., Olesen, J. and Ashina, M. 2011. Evidence for a vascular factor in migraine. Annals of Neurology. 69, 4 (2011), 635–645. DOI:https://doi.org/10.1002/ana.22292.

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Prins, A.H., Kaptein, B.L., Stoel, B.C., Nelissen, R.G.H.H., Reiber, J.H.C. and Valstar, E.R. 2011. Integrated contour detection and pose estimation for fluoroscopic analysis of knee implants. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 225, 8 (2011), 753–761. DOI:https://doi.org/10.1177/0954411911407669.

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Nacif, M.S., Turkbey, E.B., Gai, N., Nazarian, S., van der Geest, R.J., Noureldin, R.A., Sibley, C.T., Ugander, M., Liu, S., Arai, A.E., Lima, J.A.C. and Bluemke, D.A. 2011. Myocardial T1 mapping with MRI: Comparison of look-locker and MOLLI sequences. Journal of Magnetic Resonance Imaging. 34, 6 (2011), 1367–1373. DOI:https://doi.org/10.1002/jmri.22753.

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Suinesiaputra, A., Koning, P.J., Zudilova-Seinstra, E., Reiber, J.H. and van der Geest, R.J. 2011. Automated quantification of arterial stenosis on CE-MRA by using a deformable vascular tubular model. Journal of Cardiovascular Magnetic Resonance. 13, S1 (2011), P365, 1532-429X-13-S1-P365. DOI:https://doi.org/10.1186/1532-429X-13-S1-P365.

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Heydari, B., Abdullah, S.M., Coelho-Filho, O., Mongeon, F.-P., Alanna, H., Chung, Y.C., van der Geest, R.J., Jerosch-Herold, M., Antman, E. and Kwong, R.Y. 2011. Serial quantification of myocardial infarction tissue heterogeneity during infarct healing by cardiac MRI provides strong characterization of left ventricular remodeling (the NHLBI PROSPECT-CMR Study). Journal of Cardiovascular Magnetic Resonance. 13, S1 (2011), O65. DOI:https://doi.org/10.1186/1532-429X-13-S1-O65.

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Watanabe, E., Coelho-Filho, O.R., Mongeon, F.-P., Jerosch-Herold, M., Abdullah, S.M., Blankstein, R., Hatabu, H., Mandry, D., Heydari, B., van der Geest, R.J. and Kwong, R.Y. 2011. Infarct tissue heterogeneity by contrast-enhanced MRI is a novel predictor of mortality in patients with coronary artery disease with reduced left ventricular systolic function. Journal of Cardiovascular Magnetic Resonance. 13, S1 (2011), O7. DOI:https://doi.org/10.1186/1532-429X-13-S1-O7.

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Tao, Q., Milles, J., Zeppenfeld, K., Lamb, H.J., Bax, J.J., Reiber, J.H.C. and van der Geest, R.J. 2010. Automated segmentation of myocardial scar in late enhancement MRI using combined intensity and spatial information. Magnetic Resonance in Medicine. (2010), n/a-n/a. DOI:https://doi.org/10.1002/mrm.22422.

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Duivenvoorden, R., de Groot, E., Elsen, B.M., Laméris, J.S., van der Geest, R.J., Stroes, E.S., Kastelein, J.J.P. and Nederveen, A.J. 2009. In Vivo Quantification of Carotid Artery Wall Dimensions: 3.0-Tesla MRI Versus B-Mode Ultrasound Imaging. Circulation: Cardiovascular Imaging. 2, 3 (2009), 235–242. DOI:https://doi.org/10.1161/CIRCIMAGING.108.788059.

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Wildeman, M.H., Baiker, M., Reiber, J.H.C., Lowik, C.W.G.M., Reinders, M.J.T. and Lelieveldt, B.P.F. 2009. 2D/3D registration of micro-CT data to multi-view photographs based on a 3D distance map. 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (Boston, MA, USA, 2009), 987–990.

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van Gemert, A.M.C., Jost, C.R., van der Laan, A.M.A., Dirks, R.W., Reiber, J.H.C., Tanke, H.J. and Lelieveldt, B.P.F. 2009. Identification of cellular dynamic patterns resulting from repetitive photobleaching using Independent Component Analysis. 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (Boston, MA, USA, 2009), 1382–1385.

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Landsmeer, S.H., Hendriks, E.A., de Weger, L.A., Reiber, J.H.C. and Stoel, B.C. 2009. Detection of pollen grains in multifocal optical microscopy images of air samples. Microscopy Research and Technique. 72, 6 (2009), 424–430. DOI:https://doi.org/10.1002/jemt.20688.

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Ferrarini, L., Scheenstra, A.E.H., Frisoni, G.B., Muskulus, M., Pievani, M., Ganzola, R., Reiber, J.H.C., Dijkstra, J. and Milles, J. 2009. IC-P-052: Morphological changes in the hippocampus predict MCI conversion to Alzheimer’s disease: An MR-based comparison between Moore-Rayleigh and permutation tests. Alzheimer’s & Dementia. 5, 4S_Part_1 (2009), P25–P25. DOI:https://doi.org/10.1016/j.jalz.2009.05.606.

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Zudilova-Seinstra, E., Sloot, P., Koning, P. de, Suinesiaputra, A., Geest, R. van der and Reiber, J. 2009. Exploring 2D/3D Input Techniques for Medical Image Analysis. 2009 Second International Conference in Visualisation (Barcelona, Spain, 2009), 147–152.

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Isgum, I., Staring, M., Rutten, A., Prokop, M., Viergever, M.A. and van Ginneken, B. 2009. Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans. IEEE Transactions on Medical Imaging. 28, 7 (2009), 1000–1010. DOI:https://doi.org/10.1109/TMI.2008.2011480.

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Grotenhuis, H.B., Westenberg, J.J.M., Steendijk, P., van der Geest, R.J., Ottenkamp, J., Bax, J.J., Jukema, J.W. and de Roos, A. 2009. Validation and reproducibility of aortic pulse wave velocity as assessed with velocity-encoded MRI. Journal of Magnetic Resonance Imaging. 30, 3 (2009), 521–526. DOI:https://doi.org/10.1002/jmri.21886.

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Staring, M., van der Heide, U.A., Klein, S., Viergever, M.A. and Pluim, J. 2009. Registration of Cervical MRI Using Multifeature Mutual Information. IEEE Transactions on Medical Imaging. 28, 9 (2009), 1412–1421. DOI:https://doi.org/10.1109/TMI.2009.2016560.

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Roes, S.D., Hammer, S., van der Geest, R.J., Marsan, N.A., Bax, J.J., Lamb, H.J., Reiber, J.H.C., de Roos, A. and Westenberg, J.J.M. 2009. Flow Assessment Through Four Heart Valves Simultaneously Using 3-Dimensional 3-Directional Velocity-Encoded Magnetic Resonance Imaging With Retrospective Valve Tracking in Healthy Volunteers and Patients With Valvular Regurgitation: Investigative Radiology. 44, 10 (2009), 669–675. DOI:https://doi.org/10.1097/RLI.0b013e3181ae99b5.

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Marsan, N.A., Westenberg, J.J.M., Ypenburg, C., Delgado, V., van Bommel, R.J., Roes, S.D., Nucifora, G., van der Geest, R.J., de Roos, A., Reiber, J.C., Schalij, M.J. and Bax, J.J. 2009. Quantification of Functional Mitral Regurgitation by Real-Time 3D Echocardiography. JACC: Cardiovascular Imaging. 2, 11 (2009), 1245–1252. DOI:https://doi.org/10.1016/j.jcmg.2009.07.006.

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Kornaat, P.R., Sharma, R., van der Geest, R.J., Lamb, H.J., Kloppenburg, M., Hellio le Graverand, M.-P., Bloem, J.L. and Watt, I. 2009. Positive association between increased popliteal artery vessel wall thickness and generalized osteoarthritis: is OA also part of the metabolic syndrome? Skeletal Radiology. 38, 12 (2009), 1147–1151. DOI:https://doi.org/10.1007/s00256-009-0741-7.

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Kwee, R.M., Teule, G.J.J., van Oostenbrugge, R.J., Mess, W.H., Prins, M.H., van der Geest, R.J., ter Berg, J.W.M., Franke, C.L., Korten, A.G.G.C., Meems, B.J., Hofman, P.A.M., van Engelshoven, J.M.A., Wildberger, J.E. and Kooi, M.E. 2009. Multimodality Imaging of Carotid Artery Plaques: ¹⁸ F -Fluoro-2-Deoxyglucose Positron Emission Tomography, Computed Tomography, and Magnetic Resonance Imaging. Stroke. 40, 12 (2009), 3718–3724. DOI:https://doi.org/10.1161/STROKEAHA.109.564088.

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Mani, V. et al. 2009. Cardiovascular magnetic resonance parameters of atherosclerotic plaque burden improve discrimination of prior major adverse cardiovascular events. Journal of Cardiovascular Magnetic Resonance. 11, 1 (2009), 10. DOI:https://doi.org/10.1186/1532-429X-11-10.

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Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G. and Reiber, J.H.C. 2009. User-Agent Cooperation in Multiagent IVUS Image Segmentation. IEEE Transactions on Medical Imaging. 28, 1 (Jan. 2009), 94–105. DOI:https://doi.org/10.1109/TMI.2008.927351.

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Scheenstra, A.E.H., van de Ven, R.C.G., van der Weerd, L., van den Maagdenberg, A.M.J.M., Dijkstra, J. and Reiber, J.H.C. 2009. Automated Segmentation of in Vivo and Ex Vivo Mouse Brain Magnetic Resonance Images. Molecular Imaging. 8, 1 (Jan. 2009), 7290.2009.00004. DOI:https://doi.org/10.2310/7290.2009.00004.

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Oost, E., Oemrawsingh, P., Reiber, J.H. and Lelieveldt, B. 2009. Automated left ventricular delineation in X-ray angiograms: A validation study. Catheterization and Cardiovascular Interventions. 73, 2 (Feb. 2009), 231–240. DOI:https://doi.org/10.1002/ccd.21672.

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Baiker, M., Vastenhouw, B., Branderhorst, W., Reiber, J.H.C., Beekman, F. and Lelieveldt, B.P.F. 2009. Atlas-driven scan planning for high-resolution micro-SPECT data acquisition based on multi-view photographs: a pilot study. (Lake Buena Vista, FL, Feb. 2009), 72611L.

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Staring, M., Bakker, M.E., Shamonin, D.P., Stolk, J., Reiber, J.H.C. and Stoel, B.C. 2009. Towards local estimation of emphysema progression using image registration. (Lake Buena Vista, FL, Feb. 2009), 72590O.

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Aidi, H.E. et al. 2009. MRI PLAQUE BURDEN OF THE CAROTID ARTERIES AND AORTA: REPRODUCIBILITY, AGE, SEX AND SYSTEMIC DISTRIBUTION. Nature clinical practice. Cardiovascular medicine. 6, 3 (Mar. 2009), 219–228. DOI:https://doi.org/10.1038/ncpcardio1444.

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Suinesiaputra, A., Frangi, A.F., Kaandorp, T.A.M., Lamb, H.J., Bax, J.J., Reiber, J.H.C. and Lelieveldt, B.P.F. 2009. Automated Detection of Regional Wall Motion Abnormalities Based on a Statistical Model Applied to Multislice Short-Axis Cardiac MR Images. IEEE Transactions on Medical Imaging. 28, 4 (Apr. 2009), 595–607. DOI:https://doi.org/10.1109/TMI.2008.2008966.

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Schuurbiers, J.C.H., Lopez, N.G., Ligthart, J., Gijsen, F.J.H., Dijkstra, J., Serruys, P.W., Van der Steen, A.F. and Wentzel, J.J. 2009. In vivo validation of CAAS QCA-3D coronary reconstruction using fusion of angiography and intravascular ultrasound (ANGUS). Catheterization and Cardiovascular Interventions. 73, 5 (Apr. 2009), 620–626. DOI:https://doi.org/10.1002/ccd.21872.

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Vermeer, W., Bos, A.E.R., Mbwambo, J., Kaaya, S. and Schaalma, H.P. 2009. Social and cognitive variables predicting voluntary HIV counseling and testing among Tanzanian medical students. Patient Education and Counseling. 75, 1 (Apr. 2009), 135–140. DOI:https://doi.org/10.1016/j.pec.2008.08.022.

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Ferrarini, L., Scheenstra, A.E.H., Frisoni, G.B., Muskulus, M., Pievani, M., Ganzola, R., Reiber, J.H.C., Dijkstra, J. and Milles, J. 2009. P3-087: Morphological changes in the hippocampus predict MCI conversion to AD: An MR-based comparison between Moore-Rayleigh and permutation tests. Alzheimer’s & Dementia. 5, 4S_Part_12 (Jul. 2009), P368–P368. DOI:https://doi.org/10.1016/j.jalz.2009.04.1163.

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Wijnhout, J., Hendriksen, D., Van Assen, H. and Van der Geest, R. 2009. LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection. The MIDAS Journal. (Jul. 2009), 683.

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Marsan, N.A., Westenberg, J.J.M., Ypenburg, C., van Bommel, R.J., Roes, S., Delgado, V., Tops, L.F., van der Geest, R.J., Boersma, E., de Roos, A., Schalij, M.J. and Bax, J.J. 2009. Magnetic resonance imaging and response to cardiac resynchronization therapy: relative merits of left ventricular dyssynchrony and scar tissue. European Heart Journal. 30, 19 (Oct. 2009), 2360–2367. DOI:https://doi.org/10.1093/eurheartj/ehp280.

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Wentzel, J.J., Schuurbiers, J.C., Lopez, N.G., Gijsen, F.J., Ligthart, J., van der Giessen, A.G., Groen, H.C., Dijkstra, J. and Serruys, P.W. 2009. Abstract 4712: Necrotic Core Touching the Lumen is Most Frequently Exposed to High Shear Stress in Advanced Disease. Circulation. 120, 18 (Nov. 2009).

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Boogers Mark M, van Werkhoven Jacob M, Schuijf Joanne D, Nucifora Gaetano, van Der Geest Rob J, de Roos Albert, van Der Wall Ernst E, Bax Jeroen J and Lamb Hildo J 2009. Abstract 540: Diastolic Heart Function Assessed With Multidetector Row Computed Tomography: Feasibility Study in Comparison With Tissue Doppler Imaging. Circulation. 120, suppl_18 (Nov. 2009), S355–S355. DOI:https://doi.org/10.1161/circ.120.suppl_18.S355-a.

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Muskulus, M., Scheenstra, A.E.H., Braakman, N., Dijkstra, J., Verduyn-Lunel, S., Alia, A., de Groot, H.J.M. and Reiber, J.H.C. 2009. Prospects for Early Detection of Alzheimer’s Disease from Serial MR Images in Transgenic Mouse Models. Current Alzheimer Research. 6, 6 (Dec. 2009), 503–518. DOI:https://doi.org/10.2174/156720509790147089.

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Mieog, S., Velde, C. van de, Hutteman, M., Que, I., Keijzer, R., Kaijzel, E., Dijkstra, J., Kuppen, P., Lowik, C. and Vahrmeijer, A. 2009. Intra-Operative Imaging of the Invasive Tumor Border by a Cathepsin-Sensing Near-Infrared Fluorescence Probe in a Syngeneic Breast Cancer Rat Model. Cancer Research. 69, 24 Supplement (Dec. 2009), 5007–5007. DOI:https://doi.org/10.1158/0008-5472.SABCS-09-5007.

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Mieog, S., Velde, C. van de, Hutteman, M., Mol, I., Que, I., Kaijzel, E., Keyzer, R., Dijkstra, J., Kuppen, P., Lowik, C. and Vahrmeijer, A. 2009. Image-Guided Surgery: Breast Cancer Detection Using Monoclonal Antibodies Conjugated to a Near-Infrared Fluorescent Dye in a Syngeneic Rat Model. Cancer Research. 69, 24 Supplement (Dec. 2009), 5006–5006. DOI:https://doi.org/10.1158/0008-5472.SABCS-09-5006.

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Li, R., Eggermont, J., Shir, O.M., Emmerich, M.T.M., Bäck, T., Dijkstra, J. and Reiber, J.H.C. 2008. Mixed-Integer Evolution Strategies with Dynamic Niching. Parallel Problem Solving from Nature – PPSN X (Berlin, Heidelberg, 2008), 246–255.

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Eggermont, J., Li, R., Bovenkamp, E.G.P., Marquering, H., Emmerich, M.T.M., van der Lugt, A., Bäck, T., Dijkstra, J. and Reiber, J.H.C. 2008. Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning. Applications of Evolutionary Computing (Berlin, Heidelberg, 2008), 275–284.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Krejca, M., Bochenek, A., Dijkstra, J., Reiber, J. and Angelini, G. 2008. Are hypertension and hypercholesterolemia an important risk factor for plaque develomenet in aorto-coronary saphenous vein grafts?-intravascular ultrasound assessment. EUROPEAN HEART JOURNAL (2008), 216–216.

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Marquering, H.A., Stoel, B.C., Dijkstra, J., Geleijns, K., Persoon, M., Jukema, J.W., Streekstra, G.J. and Reiber, J.H.C. 2008. CT blurring induced bias of quantitative in-stent restenosis analyses [6913-54]. PROCEEDINGS-SPIE THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING (2008), 6913.

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Tsao, C.W., Josephson, M.E., Hauser, T.H., O’Halloran, T.D., Agarwal, A., Manning, W.J. and Yeon, S.B. 2008. Accuracy of electrocardiographic criteria for atrial enlargement: validation with cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 10, 1 (2008), 7. DOI:https://doi.org/10.1186/1532-429X-10-7.

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Murphy, K., van Ginneken, B., Pluim, J.P.W., Klein, S. and Staring, M. 2008. Semi-automatic Reference Standard Construction for Quantitative Evaluation of Lung CT Registration. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. D. Metaxas, L. Axel, G. Fichtinger, and G. Székely, eds. Springer Berlin Heidelberg. 1006–1013.

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Henneman, M.M., Schuijf, J.D., Dibbets-Schneider, P., Stokkel, M.P., van der Geest, R.J., van der Wall, E.E. and Bax, J.J. 2008. Comparison of Multislice Computed Tomography to Gated Single-Photon Emission Computed Tomography for Imaging of Healed Myocardial Infarcts. The American Journal of Cardiology. 101, 2 (2008), 144–148. DOI:https://doi.org/10.1016/j.amjcard.2007.07.084.

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Shaker, S.B., von Wachenfeldt, K.A., Larsson, S., Mile, I., Persdotter, S., Dahlbäck, M., Broberg, P., Stoel, B., Bach, K.S., Hestad, M., Fehniger, T.E. and Dirksen, A. 2008. Identification of patients with chronic obstructive pulmonary disease (COPD) by measurement of plasma biomarkers: Plasma biomarkers in COPD. The Clinical Respiratory Journal. 2, 1 (2008), 17–25. DOI:https://doi.org/10.1111/j.1752-699X.2007.00032.x.

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van ’t Klooster, R., Hendriks, E.A., Watt, I., Kloppenburg, M., Reiber, J.H.C. and Stoel, B.C. 2008. Automatic quantification of osteoarthritis in hand radiographs: validation of a new method to measure joint space width. Osteoarthritis and Cartilage. 16, 1 (2008), 18–25. DOI:https://doi.org/10.1016/j.joca.2007.05.015.

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de Bruin, P.W., Kaptein, B.L., Stoel, B.C., Reiber, J.H.C., Rozing, P.M. and Valstar, E.R. 2008. Image-based RSA: Roentgen stereophotogrammetric analysis based on 2D–3D image registration. Journal of Biomechanics. 41, 1 (2008), 155–164. DOI:https://doi.org/10.1016/j.jbiomech.2007.07.002.

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Stoel, B.C. and Connell, M. 2008. Quantitative analysis of emphysema in 3D using MDCT: Correction of air offset in Toshiba scanners. European Journal of Radiology. 65, 2 (2008), 235–236. DOI:https://doi.org/10.1016/j.ejrad.2007.10.007.

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Grauss, R.W., van Tuyn, J., Steendijk, P., Winter, E.M., Pijnappels, D.A., Hogers, B., Gittenberger-De Groot, A.C., van der Geest, R., van der Laarse, A., de Vries, A.A.F., Schalij, M.J. and Atsma, D.E. 2008. Forced Myocardin Expression Enhances the Therapeutic Effect of Human Mesenchymal Stem Cells After Transplantation in Ischemic Mouse Hearts. Stem Cells. 26, 4 (2008), 1083–1093. DOI:https://doi.org/10.1634/stemcells.2007-0523.

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Stoel, B.C., Parr, D.G., Bakker, E.M., Putter, H. and Stolk, J. 2008. Can the Extent of Low-Attenuation Areas on CT Scans Really Demonstrate Changes in the Severity of Emphysema? Radiology. 247, 1 (2008), 293–294. DOI:https://doi.org/10.1148/radiol.2471071608.

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Westenberg, J.J.M., Braun, J., Van de Veire, N.R., Klautz, R.J.M., Versteegh, M.I.M., Roes, S.D., van der Geest, R.J., de Roos, A., van der Wall, E.E., Reiber, J.H.C., Bax, J.J. and Dion, R.A.E. 2008. Magnetic resonance imaging assessment of reverse left ventricular remodeling late after restrictive mitral annuloplasty in early stages of dilated cardiomyopathy. The Journal of Thoracic and Cardiovascular Surgery. 135, 6 (2008), 1247–1253. DOI:https://doi.org/10.1016/j.jtcvs.2007.10.021.

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Schoonman, G.G., van der Grond, J., Kortmann, C., van der Geest, R.J., Terwindt, G.M. and Ferrari, M.D. 2008. Migraine headache is not associated with cerebral or meningeal vasodilatation—a 3T magnetic resonance angiography study. Brain. 131, 8 (2008), 2192–2200. DOI:https://doi.org/10.1093/brain/awn094.

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Winter, E.M., Grauss, R.W., Atsma, D.E., Hogers, B., Poelmann, R.E., van der Geest, R.J., Tschöpe, C., Schalij, M.J., Gittenberger-de Groot, A.C. and Steendijk, P. 2008. Left ventricular function in the post-infarct failing mouse heart by magnetic resonance imaging and conductance catheter: a comparative analysis. Acta Physiologica. 194, 2 (2008), 111–122. DOI:https://doi.org/10.1111/j.1748-1716.2008.01863.x.

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Westenberg, J.J., Roes, S.D., de Roos, A., Binnendijk, N.M., Doornbos, J., Bax, J.J., Reiber, J.H. and Geest, R.J. van der 2008. 1086 Accurate quantification of simultaneous mitral and tricuspid blood flow using 3D velocity-encoded MRI with retrospective valve tracking. Journal of Cardiovascular Magnetic Resonance. 10, S1 (2008), A211, 1532-429X-10-S1-A211. DOI:https://doi.org/10.1186/1532-429X-10-S1-A211.

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Lai, W.W., Powell, A.J. and Geva, T. 2008. 1058 The extent of tricuspid valve septal displacement adversely affects right ventricular function in Ebstein anomaly: a cardiac MRI study. Journal of Cardiovascular Magnetic Resonance. 10, S1 (2008), A183, 1532-429X-10-S1-A183. DOI:https://doi.org/10.1186/1532-429X-10-S1-A183.

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Prins, A.H., Kaptein, B.L., Stoel, B.C., Nelissen, R.G.H.H., Reiber, J.H.C. and Valstar, E.R. 2008. Handling modular hip implants in model-based RSA: Combined stem–head models. Journal of Biomechanics. 41, 14 (2008), 2912–2917. DOI:https://doi.org/10.1016/j.jbiomech.2008.07.035.

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Lelieveldt, B.P.F. and He, B. 2008. Guest Editorial Functional Imaging of the Heart. IEEE Transactions on Medical Imaging. 27, 11 (2008), 1545–1547. DOI:https://doi.org/10.1109/TMI.2008.2006245.

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Bakker, M.E., Putter, H., Stolk, J., Shaker, S.B., Piitulainen, E., Russi, E.W. and Stoel, B.C. 2008. Assessment of Regional Progression of Pulmonary Emphysema With CT Densitometry. Chest. 134, 5 (2008), 931–937. DOI:https://doi.org/10.1378/chest.08-0512.

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Westenberg, J.J.M., Roes, S.D., Ajmone Marsan, N., Binnendijk, N.M.J., Doornbos, J., Bax, J.J., Reiber, J.H.C., de Roos, A. and van der Geest, R.J. 2008. Mitral Valve and Tricuspid Valve Blood Flow: Accurate Quantification with 3D Velocity-encoded MR Imaging with Retrospective Valve Tracking. Radiology. 249, 3 (2008), 792–800. DOI:https://doi.org/10.1148/radiol.2492080146.

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Parr, D.G., Sevenoaks, M., Deng, C., Stoel, B.C. and Stockley, R.A. 2008. Detection of emphysema progression in alpha 1-antitrypsin deficiency using CT densitometry; Methodological advances. Respiratory Research. 9, 1 (2008), 21. DOI:https://doi.org/10.1186/1465-9921-9-21.

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Hoeven, B.L. van der, Liem, S.-S., Jukema, J.W., Suraphakdee, N., Putter, H., Dijkstra, J., Atsma, D.E., Bootsma, M., Zeppenfeld, K., Oemrawsingh, P.V., Wall, E.E. van der and Schalij, M.J. 2008. Sirolimus-Eluting Stents Versus Bare-Metal Stents in Patients With ST-Segment Elevation Myocardial Infarction: 9-Month Angiographic and Intravascular Ultrasound Results and 12-Month Clinical Outcome: Results From the MISSION! Intervention Study. Journal of the American College of Cardiology. 51, 6 (Feb. 2008), 618–626. DOI:https://doi.org/10.1016/j.jacc.2007.09.056.

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Kaptein, B. l., Valstar, E. r., Stoel, B. c., Nelissen, R. g. h. h. and Reiber, J. h. c. 2008. Model-based roentgen stereophotogrammetric analysis (rsa). Orthopaedic Proceedings. 90-B, SUPP_I (Mar. 2008), 170–170. DOI:https://doi.org/10.1302/0301-620X.90BSUPP_I.0880170a.

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Baka, N., Milles, J., Hendriks, E.A., Suinesiaputra, A., Jerosch Herold, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2008. Segmentation of myocardial perfusion MR sequences with multi-band active appearance models driven by spatial and temporal features. (San Diego, CA, Mar. 2008), 691415.

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van Rikxoort, E.M., Isgum, I., Staring, M., Klein, S. and van Ginneken, B. 2008. Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans. (San Diego, CA, Mar. 2008), 691407.

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Klein, S., van der Heide, U.A., Lips, I.M., van Vulpen, M., Staring, M. and Pluim, J.P.W. 2008. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information: Automatic segmentation of the prostate in MR images. Medical Physics. 35, 4 (Mar. 2008), 1407–1417. DOI:https://doi.org/10.1118/1.2842076.

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Marquering, H.A., Dijkstra, J., Besnehard, Q.J.A., Duthé, J.P.M., Schuijf, J.D., Bax, J.J. and Reiber, J.H.C. 2008. Coronary CT angiography: IVUS image fusion for quantitative plaque and stenosis analyses. Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling (Mar. 2008), 69181G.

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Marquering, H.A., Stoel, B.C., Dijkstra, J., Geleijns, K., Persoon, M., M.d, J.W.J., Streekstra, G.J. and Reiber, J.H.C. 2008. CT blurring induced bias of quantitative in-stent restenosis analyses. Medical Imaging 2008: Physics of Medical Imaging (Mar. 2008), 69131J.

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Hoeven, B.L. van der, Liem, S.-S., Dijkstra, J., Bergheanu, S.C., Putter, H., Antoni, M.L., Atsma, D.E., Bootsma, M., Zeppenfeld, K., Jukema, J.W. and Schalij, M.J. 2008. Stent Malapposition After Sirolimus-Eluting and Bare-Metal Stent Implantation in Patients with ST-Segment Elevation Myocardial Infarction: Acute and 9-Month Intravascular Ultrasound Results of the MISSION! Intervention Study. JACC: Cardiovascular Interventions. 1, 2 (Apr. 2008), 192–201. DOI:https://doi.org/10.1016/j.jcin.2008.02.003.

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Baiker, M., Dijkstra, J., Que, I., Lowik, C.W.G.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2008. Organ approximation in μCT data with low soft tissue contrast using an articulated whole-body atlas. 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (May 2008), 1267–1270.

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Rui Li, Emmerich, M.T.M., Eggermont, J., Bovenkamp, E.G.P., Back, T., Dijkstra, J. and Reiber, J.H.C. 2008. Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis. 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) (Jun. 2008), 2764–2771.

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Stoel, B.C. and Borman, T.M. 2008. A Comparison of Wood Density between Classical Cremonese and Modern Violins. PLoS ONE. 3, 7 (Jul. 2008), e2554. DOI:https://doi.org/10.1371/journal.pone.0002554.

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Kitslaar, P., Frenay, M., Oost, E., Dijkstra, J., Stoel, B. and Reiber, J.H.C. 2008. Connected Component and Morphology Based Extraction of Arterial Centerlines of the Heart (CocomoBeach). The MIDAS Journal. (Aug. 2008), 619.

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van Assen, H.C., Danilouchkine, M.G., Dirksen, M.S., Reiber, J.H.C. and Lelieveldt, B.P.F. 2008. A 3-D Active Shape Model Driven by Fuzzy Inference: Application to Cardiac CT and MR. IEEE Transactions on Information Technology in Biomedicine. 12, 5 (Sep. 2008), 595–605. DOI:https://doi.org/10.1109/TITB.2008.926477.

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Marsan Nina Ajmone, Westenberg Jos J, Tops Laurens F, Ypenburg Claudia, van Bommel Rutger J, Roes Stijntje, van der Geest Rob J, Boersma Eric, van der Wall Ernst E, Schalij Martin J and Bax Jeroen J 2008. Abstract 696: Role of Magnetic Resonance Imaging to Predict Response to Cardiac Resynchronization Therapy: Assessment of Left Ventricular Dyssynchrony and Scar Extent. Circulation. 118, suppl_18 (Oct. 2008), S_600-S_601. DOI:https://doi.org/10.1161/circ.118.suppl_18.S_600-c.

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Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2008. Fully Automated Motion Correction in First-Pass Myocardial Perfusion MR Image Sequences. IEEE Transactions on Medical Imaging. 27, 11 (Nov. 2008), 1611–1621. DOI:https://doi.org/10.1109/TMI.2008.928918.

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Stoel, B.C., Putter, H., Bakker, M.E., Dirksen, A., Stockley, R.A., Piitulainen, E., Russi, E.W., Parr, D., Shaker, S.B., Reiber, J.H.C. and Stolk, J. 2008. Volume Correction in Computed Tomography Densitometry for Follow-up Studies on Pulmonary Emphysema. Proceedings of the American Thoracic Society. 5, 9 (Dec. 2008), 919–924. DOI:https://doi.org/10.1513/pats.200804-040QC.

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Stoel, B.C., Bode, F., Rames, A., Soliman, S., Reiber, J.H.C. and Stolk, J. 2008. Quality Control in Longitudinal Studies with Computed Tomographic Densitometry of the Lungs. Proceedings of the American Thoracic Society. 5, 9 (Dec. 2008), 929–933. DOI:https://doi.org/10.1513/pats.200804-039QC.

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Li, R., Eggermont, J., Emmerich, M.T.M., Bovenkamp, E.G.P., Bäck, T., Dijkstra, J. and Reiber, J.H.C. 2007. Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis. Applications of Evolutionary Computing (Berlin, Heidelberg, 2007), 391–398.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Filipecki, A., Krejca, M., Bochenek, A., Dijkstra, J., Reiber, J. and Angelini, G. 2007. Consequences of plaque development in aorto-coronary saphenous vein grafts: intravascular ultrasound assessment. EUROPEAN HEART JOURNAL (2007), 679–679.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Filipecki, A., Krejca, M., Bochenek, A., Dijkstra, J., Reiber, J. and Angelini, G. 2007. Saphenous vein grafts remodeling during first 2 years post CABG. Volumetric intravascular ultrasound assessment. EUROPEAN HEART JOURNAL (2007), 356–356.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Filipecki, A., Krejca, M., Bochenek, A., Dijkstra, J., Reiber, J. and Angelini, A. 2007. Do aorto-coronary vein grafts undergo different type of remodeling? EUROPEAN HEART JOURNAL (2007), 354–355.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Filipecki, A., Krejca, M., Bochenek, A., Dijkstra, J., Reiber, J. and Angelini, G. 2007. Aorto-coronary saphenous vein grafts remodeling: intravascular ultrasound assessment. EUROPEAN HEART JOURNAL (2007), 355–355.

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Van Der Hoeven, B.L., Liem, S.S., Putter, H., Dijkstra, J., Atsma, D.E., Bootsma, M., Zeppenfeld, K., Oemrawsingh, P.V., Jukema, J.W. and Schalij, M.J. 2007. Predictors and mechanisms of early and late stent malapposition (SM) after sirolimus-eluting (SES) versus bare-metal stent (BMS) implantation in patients with ST-segment elevation myocardial infarction. EUROPEAN HEART JOURNAL (2007), 9–9.

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Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2007. Fully Automated Registration of First-Pass Myocardial Perfusion MRI Using Independent Component Analysis. Information Processing in Medical Imaging. N. Karssemeijer and B. Lelieveldt, eds. Springer Berlin Heidelberg. 544–555.

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Doğan, H., Kroft, L.J.M., Huisman, M.V., van der Geest, R.J. and de Roos, A. 2007. Right Ventricular Function in Patients with Acute Pulmonary Embolism: Analysis with Electrocardiography-synchronized Multi–Detector Row CT. Radiology. 242, 1 (2007), 78–84. DOI:https://doi.org/10.1148/radiol.2421052089.

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Box, F.M.A., van der Grond, J., de Craen, A.J.M., Palm-Meinders, I.H., van der Geest, R.J., Jukema, J.W., Reiber, J.H.C., van Buchem, M.A. and Blauw, G.J. 2007. Pravastatin Decreases Wall Shear Stress and Blood Velocity in the Internal Carotid Artery Without Affecting Flow Volume: Results From the PROSPER MRI Study. Stroke. 38, 4 (2007), 1374–1376. DOI:https://doi.org/10.1161/01.STR.0000260206.56774.aa.

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Klein, S., van der Heide, U.A., Raaymakers, B.W., Kotte, A.N.T.J., Staring, M. and Pluim, J.P.W. 2007. SEGMENTATION OF THE PROSTATE IN MR IMAGES BY ATLAS MATCHING. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (Arlington, VA, 2007), 1300–1303.

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Dehnavi, R.A., Doornbos, J., Tamsma, J.T., Stuber, M., Putter, H., van der Geest, R.J., Lamb, H.J. and de Roos, A. 2007. Assessment of the carotid artery by MRI at 3T: A study on reproducibility. Journal of Magnetic Resonance Imaging. 25, 5 (2007), 1035–1043. DOI:https://doi.org/10.1002/jmri.20904.

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2007. Special issue on functional imaging of the heart. IEEE Transactions on Medical Imaging. 26, 6 (2007), 891–891. DOI:https://doi.org/10.1109/TMI.2007.900932.

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Box, F.M.A., van der Geest, R.J., van der Grond, J., van Osch, M.J.P., Zwinderman, A.H., Palm-Meinders, I.H., Doornbos, J., Blauw, G.-J., van Buchem, M.A. and Reiber, J.H.C. 2007. Reproducibility of wall shear stress assessment with the paraboloid method in the internal carotid artery with velocity encoded MRI in healthy young individuals. Journal of Magnetic Resonance Imaging. 26, 3 (2007), 598–605. DOI:https://doi.org/10.1002/jmri.21086.

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Stolk, J., Putter, H., Bakker, E.M., Shaker, S.B., Parr, D.G., Piitulainen, E., Russi, E.W., Grebski, E., Dirksen, A., Stockley, R.A., Reiber, J.H.C. and Stoel, B.C. 2007. Progression parameters for emphysema: A clinical investigation. Respiratory Medicine. 101, 9 (2007), 1924–1930. DOI:https://doi.org/10.1016/j.rmed.2007.04.016.

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Angeli??, E., Oost, E.R., Hendriksen, D., Lelieveldt, B.P.F., Van der Geest, R.J. and Reiber, J.H.C. 2007. Automated Contour Detection in Cardiac MRI Using Active Appearance Models: The Effect of the Composition of the Training Set. Investigative Radiology. 42, 10 (2007), 697–703. DOI:https://doi.org/10.1097/RLI.0b013e318070dc93.

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Grauss, R.W., Winter, E.M., van Tuyn, J., Pijnappels, D.A., Steijn, R.V., Hogers, B., van der Geest, R.J., de Vries, A.A.F., Steendijk, P., van der Laarse, A., Gittenberger-de Groot, A.C., Schalij, M.J. and Atsma, D.E. 2007. Mesenchymal stem cells from ischemic heart disease patients improve left ventricular function after acute myocardial infarction. American Journal of Physiology-Heart and Circulatory Physiology. 293, 4 (2007), H2438–H2447. DOI:https://doi.org/10.1152/ajpheart.00365.2007.

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Kaptein, B.L., Valstar, E.R., Stoel, B.C., Reiber, H.C. and Nelissen, R.G. 2007. Clinical Validation of Model-based RSA for a Total Knee Prosthesis: Clinical Orthopaedics and Related Research. 464, (2007), 205–209. DOI:https://doi.org/10.1097/BLO.0b013e3181571aa5.

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Stolk, J., Versteegh, M.I.M., Montenij, L.J., Bakker, M.E., Grebski, E., Tutic, M., Wildermuth, S., Weder, W., el Bardiji, M., Reiber, J.H.C., Rabe, K.F., Russi, E.W. and Stoel, B.C. 2007. Densitometry for assessment of effect of lung volume reduction surgery for emphysema. European Respiratory Journal. 29, 6 (Mar. 2007), 1138–1143. DOI:https://doi.org/10.1183/09031936.00056206.

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Ma, M., Bosch, J.G., Reiber, J.H.C. and Lelieveldt, B.P.F. 2007. Fully automatic estimation of object pose for segmentation initialization: application to cardiac MR and echocardiography images. (San Diego, CA, Mar. 2007), 65123J.

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Peters, R.J.M., Marquering, H.A., Doğan, H., Hendriks, E.A., de Roos, A., Reiber, J.H.C. and Stoel, B.C. 2007. Labeling the pulmonary arterial tree in CT images for automatic quantification of pulmonary embolism. (San Diego, CA, Mar. 2007), 65143Q.

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Kok, P., Dijkstra, J., Botha, C.P., Post, F.H., Kaijzel, E., Que, I., Löwik, C.W.G.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2007. Integrated visualization of multi-angle bioluminescence imaging and micro CT. Medical Imaging 2007: Visualization and Image-Guided Procedures (Mar. 2007), 65091U.

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Scheenstra, A.E.H., Dijkstra, J., Ven, R.C.G. van de, Weerd, L. van der and Reiber, J.H.C. 2007. Automated segmentation of the ex vivo mouse brain. Medical Imaging 2007: Physiology, Function, and Structure from Medical Images (Mar. 2007), 651106.

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Baiker, M., Milles, J., Vossepoel, A.M., Que, I., Kaijzel, E.L., Lowik, C.W.G.M., Reiber, J.H.C., Dijkstra, J. and Lelieveldt, B.P.F. 2007. FULLY AUTOMATED WHOLE-BODY REGISTRATION IN MICE USING AN ARTICULATED SKELETON ATLAS. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (Apr. 2007), 728–731.

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Scheenstra, A.E.H., Dijkstra, J., van de Ven, R.C.G., van der Weerd, L. and Reiber, J.H.C. 2007. AUTOMATED EDGE-DRIVEN MARKOV RANDOM FIELD SEGMENTATION OF EX VIVO MOUSE BRAIN MRM IMAGES. 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (Apr. 2007), 1292–1295.

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Winter, E.M. et al. 2007. Preservation of Left Ventricular Function and Attenuation of Remodeling After Transplantation of Human Epicardium-Derived Cells Into the Infarcted Mouse Heart. Circulation. 116, 8 (Aug. 2007), 917–927. DOI:https://doi.org/10.1161/CIRCULATIONAHA.106.668178.

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Staring, M., Klein, S. and Pluim, J.P.W. 2007. A rigidity penalty term for nonrigid registration: A rigidity penalty term for nonrigid registration. Medical Physics. 34, 11 (Oct. 2007), 4098–4108. DOI:https://doi.org/10.1118/1.2776236.

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Klein, S., Staring, M. and Pluim, J.P.W. 2007. Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines. IEEE Transactions on Image Processing. 16, 12 (Dec. 2007), 2879–2890. DOI:https://doi.org/10.1109/TIP.2007.909412.

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Staring, M., Klein, S. and Pluim, J.P.W. 2007. Nonrigid registration with tissue-dependent filtering of the deformation field. Physics in Medicine and Biology. 52, 23 (Dec. 2007), 6879–6892. DOI:https://doi.org/10.1088/0031-9155/52/23/007.

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Li, R., Emmerich, M.T.M., Eggermont, J., Bovenkamp, E.G.P., Bäck, T., Dijkstra, J. and Reiber, J.H.C. 2006. Mixed-Integer NK Landscapes. Parallel Problem Solving from Nature - PPSN IX (Berlin, Heidelberg, 2006), 42–51.

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Li, R., Emmerich, M.T., Bovenkamp, E.G., Eggermont, J., Back, T., Dijkstra, J. and Reiber, J.H. 2006. EvoIASP Contributions-Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis. Lecture Notes in Computer Science. 3907, (2006), 415–426.

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Li, R., Emmerich, M.T.M., Bovenkamp, E.G.P., Eggermont, J., Bäck, T., Dijkstra, J. and Reiber, J.H.C. 2006. Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis. Applications of Evolutionary Computing (Berlin, Heidelberg, 2006), 415–426.

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Weglarz, P., Drzewiecki, J., Trusz-Gluza, M., Filipecki, A., Bochenek, K., Bochenek, A., Dijkstra, J. and Reiber, J. 2006. Early stage atherosclerosis in aorto-coronary saphenous vein grafts: intravascular ultrasound study. EUROPEAN HEART JOURNAL (2006), 694–695.

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Makowski, P., de Koning, P.J.H., Angelie, E., Westenberg, J.J.M., van der Geest, R.J. and Reiber, J.H.C. 2006. 3D Cylindrical B-Spline Segmentation of Carotid Arteries from MRI Images. Biomedical Simulation. M. Harders and G. Székely, eds. Springer Berlin Heidelberg. 188–196.

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Klein, S., Staring, M. and Pluim, J.P.W. 2006. A Comparison of Acceleration Techniques for Nonrigid Medical Image Registration. Biomedical Image Registration. J.P.W. Pluim, B. Likar, and F.A. Gerritsen, eds. Springer Berlin Heidelberg. 151–159.

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Uzümcü, M., van der Geest, R.J., Swingen, C., Reiber, J.H.C. and Lelieveldt, B.P.F. 2006. Time Continuous Tracking and Segmentation of Cardiovascular Magnetic Resonance Images Using Multidimensional Dynamic Programming: Investigative Radiology. 41, 1 (2006), 52–62. DOI:https://doi.org/10.1097/01.rli.0000194070.88432.24.

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Nieber, M., Putter, H., Stolk, J., Reiber, J.H.C. and Stoel, B.C. 2006. Prediction of Pulmonary Function in COPD on the Basis of CT Measurements of Bronchial Wall Thickness. Radiology. 238, 1 (2006), 374–375. DOI:https://doi.org/10.1148/radiol.2381050803.

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Box, F.M.A., van der Geest, R.J., van Osch, M.J.P., van der Grond, J., de Craen, A.J.M., Blauw, G.J., van Buchem, M.A. and Reiber, J.H.C. 2006. Differences in velocity profiles between young and elderly healthy volunteers affect wall shear stress assessment with the paraboloid method in the internal carotid artery; a study with velocity encoded MRI. Journal of Biomechanics. 39, (2006), S301. DOI:https://doi.org/10.1016/S0021-9290(06)84172-2.

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Kaptein, B.L., Valstar, E.R., Spoor, C.W., Stoel, B.C., Reiber, J.H.C. and Rozing, P.M. 2006. Model-based-RSA of a hip stem using geometrical shape models. Journal of Biomechanics. 39, (2006), S514. DOI:https://doi.org/10.1016/S0021-9290(06)85110-9.

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Khamene, A., Bloch, P., Wein, W., Svatos, M. and Sauer, F. 2006. Automatic registration of portal images and volumetric CT for patient positioning in radiation therapy. Medical Image Analysis. 10, 1 (2006), 96–112. DOI:https://doi.org/10.1016/j.media.2005.06.002.

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van Assen, H.C., Danilouchkine, M.G., Frangi, A.F., Ordás, S., Westenberg, J.J.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2006. SPASM: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI data. Medical Image Analysis. 10, 2 (2006), 286–303. DOI:https://doi.org/10.1016/j.media.2005.12.001.

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Westenberg, J.J.M., Lamb, H.J., van der Geest, R.J., Bleeker, G.B., Holman, E.R., Schalij, M.J., de Roos, A., van der Wall, E.E., Reiber, J.H.C. and Bax, J.J. 2006. Assessment of Left Ventricular Dyssynchrony in Patients With Conduction Delay and Idiopathic Dilated Cardiomyopathy. Journal of the American College of Cardiology. 47, 10 (2006), 2042–2048. DOI:https://doi.org/10.1016/j.jacc.2006.01.058.

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Doǧan, H., Kroft, L.J.M., Bax, J.J., Schuijf, J.D., van der Geest, R.J., Doornbos, J. and de Roos, A. 2006. MDCT Assessment of Right Ventricular Systolic Function. American Journal of Roentgenology. 186, 6_supplement_2 (2006), S366–S370. DOI:https://doi.org/10.2214/AJR.05.0639.

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Kaptein, B.L., Valstar, E.R., Spoor, C.W., Stoel, B.C. and Rozing, P.M. 2006. Model-based RSA of a Femoral Hip Stem Using Surface and Geometrical Shape Models: Clinical Orthopaedics and Related Research. 448, (2006), 92–97. DOI:https://doi.org/10.1097/01.blo.0000224010.04551.14.

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Adame, I.M., de Koning, P.J.H., Lelieveldt, B.P.F., Wasserman, B.A., Reiber, J.H.C. and van der Geest, R.J. 2006. An Integrated Automated Analysis Method for Quantifying Vessel Stenosis and Plaque Burden From Carotid MRI Images: Combined Postprocessing of MRA and Vessel Wall MR. Stroke. 37, 8 (2006), 2162–2164. DOI:https://doi.org/10.1161/01.STR.0000231648.74198.f7.

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Adame, I.M., van der Geest, R.J., Bluemke, D.A., Lima, J.A.C., Reiber, J.H.C. and Lelieveldt, B.P.F. 2006. Automatic vessel wall contour detection and quantification of wall thickness in in-vivo MR images of the human aorta. Journal of Magnetic Resonance Imaging. 24, 3 (2006), 595–602. DOI:https://doi.org/10.1002/jmri.20662.

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Schoonman, G.G., Bakker, D., Schmitz, N., van der Geest, R.J., van der Grond, J., Ferrari, M.D. and van Buchem, M.A. 2006. Magnetic resonance angiography of the human middle meningeal artery: Implications for migraine. Journal of Magnetic Resonance Imaging. 24, 4 (2006), 918–921. DOI:https://doi.org/10.1002/jmri.20708.

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van de Sande, M.A.J., Stoel, B.C. and Rozing, P.M. 2006. Subacromial Space Measurement: A Reliable Method Indicating Fatty Infiltration in Patients with Rheumatoid Arthritis. Clinical Orthopaedics and Related Research. 451, (2006), 73–79. DOI:https://doi.org/10.1097/01.blo.0000229294.06475.41.

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Stavngaard, T., Shaker, S.B., Bach, K.S., Stoel, B.C. and Dirksen, A. 2006. Quantitative assessment of regional emphysema distribution in patients with chronic obstructive pulmonary disease (COPD). Acta Radiologica. 47, 9 (2006), 914–921. DOI:https://doi.org/10.1080/02841850600917170.

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Chen, C., Hendriks, E.A., Duin, R.P.W., Reiber, J.H.C., Hiemstra, P.S., de Weger, L.A. and Stoel, B.C. 2006. Feasibility study on automated recognition of allergenic pollen: grass, birch and mugwort. Aerobiologia. 22, 4 (2006), 275–284. DOI:https://doi.org/10.1007/s10453-006-9040-0.

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Noordmans, H.J., de Roode, R., Staring, M. and Verdaasdonk, R. 2006. Registration and analysis of in-vivo multispectral images for correction of motion and comparison in time. (San Jose, CA, Feb. 2006), 608106.

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Milles, J., van der Geest, R.J., Jerosch-Herold, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2006. Analysis of first-pass myocardial perfusion MRI using independent component analysis. (San Diego, CA, Mar. 2006), 61441R.

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Staring, M., Klein, S. and Pluim, J.P.W. 2006. Nonrigid registration using a rigidity constraint. (San Diego, CA, Mar. 2006), 614413.

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Parr, D.G. 2006. Validation of computed tomographic lung densitometry for monitoring emphysema in 1-antitrypsin deficiency. Thorax. 61, 6 (Jun. 2006), 485–490. DOI:https://doi.org/10.1136/thx.2005.054890.

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Yan, A.T., Shayne, A.J., Brown, K.A., Gupta, S.N., Chan, C.W., Luu, T.M., Di Carli, M.F., Reynolds, H.G., Stevenson, W.G. and Kwong, R.Y. 2006. Characterization of the Peri-Infarct Zone by Contrast-Enhanced Cardiac Magnetic Resonance Imaging Is a Powerful Predictor of Post–Myocardial Infarction Mortality. Circulation. 114, 1 (Jul. 2006), 32–39. DOI:https://doi.org/10.1161/CIRCULATIONAHA.106.613414.

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Staring, M. 2006. Contributions to the Normalized Correlation and the Mean Squares Metric. The Insight Journal. (Jul. 2006), 87.

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van der Hoeven, B.L., Liem, S.-S., Oemrawsingh, P.V., Dijkstra, J., Jukema, J.W., Putter, H., Atsma, D.E., van der Wall, E.E., Bax, J.J., Reiber, J.C. and Schalij, M.J. 2006. Role of Calcified Spots Detected by Intravascular Ultrasound in Patients With ST-Segment Elevation Acute Myocardial Infarction. The American Journal of Cardiology. 98, 3 (Aug. 2006), 309–313. DOI:https://doi.org/10.1016/j.amjcard.2006.02.035.

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Oost, E., Koning, G., Sonka, M., Oemrawsingh, P.V., Reiber, J.H.C. and Lelieveldt, B.P.F. 2006. Automated contour detection in X-ray left ventricular angiograms using multiview active appearance models and dynamic programming. IEEE Transactions on Medical Imaging. 25, 9 (Sep. 2006), 1158–1171. DOI:https://doi.org/10.1109/TMI.2006.877094.

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Aguiar, S.H. et al. 2006. Abstract 3021: Cardiovascular Risk Factors Affect Age Distribution of Atherosclerotic Disease Burden as Assessed by Magnetic Resonance Imaging. Circulation. (Oct. 2006).

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Grauss Robert W, van Tuyn John, steendijk Paul, Winter Elizabeth M, Steijn Rebecca Vicente, Hogers Bianca, van der Geest Rob, van der Wall Ernst E, Groot Adriana C Gittenberger-de, van der Laarse Arnoud, de Vries Antoine A, Schalij Martin J and Atsma Douwe E 2006. Abstract 1076: Forced Expression of Myocardin in Mesenchymal Stem Cells from Ischemic Heart Disease Patients Induces Differentiation Into a Cardiomyocyte Phenotype and Improves Left Ventricular Function after Myocardial Infarction in NOD/scid Mice. Circulation. 114, suppl_18 (Oct. 2006), II_198-II_199. DOI:https://doi.org/10.1161/circ.114.suppl_18.II_198-d.

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Grauss Robert W, Winter Elizabeth M, steendijk Paul, van Tuyn John, Steijn Rebecca Vicente, Hogers Bianca, van der Geest Rob, van der Wall Ernst E, Gittenberger-de Groot Adriana C, van der Laarse Arnoud, de Vries Antoine A, Schalij Martin J and Atsma Douwe E 2006. Abstract 384: Adult Mesenchymal Stem Cells from Patients with Ischemic Heart Disease Differentiate into a Vascular Phenotype and Improve Left Ventricular Function After Acute Myocardial Infarction in NOD/scid Mice: A 9.4T MRI Study. Circulation. 114, suppl_18 (Oct. 2006), II_52-II_52. DOI:https://doi.org/10.1161/circ.114.suppl_18.II_52.

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Schoonman, G., Terwindt, G., Geest, R. van der, Grond, J. van der and Ferrari, M. 2006. 3T MRA measured diameter changes of meningeal and cerebral blood vessels in nitroglycerin provoked migraine attacks: PD.22. Cephalalgia. 26, 11 (Nov. 2006).

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Feringa, H.H., Karagiannis, S., Vidakovic, R., Elhendy, A., Van Domburg, R., Bax, J.J. and Poldermans, D. 2006. 704 Improving prognostic risk stratification with cardiac testing in peripheral arterial disease. European Journal of Echocardiography. 7, suppl_1 (Dec. 2006), S115–S115. DOI:https://doi.org/10.1016/S1525-2167(06)60427-7.

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Weglarz, P., Filipecki, A., Drzewiecki, J., Trusz-Gluza, M., Krejca, M., Bochenek, A., Dijkstra, J. and Reiber, J. 2006. 392 Volumetric intravascular ultrasound parameters assessment of plaque development in saphenous vein grafts. European Journal of Echocardiography. 7, suppl_1 (Dec. 2006), S50–S50. DOI:https://doi.org/10.1016/S1525-2167(06)60182-0.

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Weglarz, P., Filipecki, A., Drzewiecki, J., Trusz-Gluza, M., Krejca, M., Bochenek, A., Dijkstra, J. and Reiber, J. 2006. 705 Saphenous vein grafts covered by experimental, external Dacron stent: volumetric intravascular ultrasound plaque assessment. European Journal of Echocardiography. 7, suppl_1 (Dec. 2006), S115–S115. DOI:https://doi.org/10.1016/S1525-2167(06)60428-9.

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Oost, E., Koning, G., Sonka, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2005. Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming. Functional Imaging and Modeling of the Heart. A.F. Frangi, P.I. Radeva, A. Santos, and M. Hernandez, eds. Springer Berlin Heidelberg. 23–32.

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Ordas, S., van Assen, H.C., Boisrobert, L., Laucelli, M., Puente, J., Lelieveldt, B.P.F. and Frangi, A.F. 2005. Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach. Advances in Grid Computing - EGC 2005. P.M.A. Sloot, A.G. Hoekstra, T. Priol, A. Reinefeld, and M. Bubak, eds. Springer Berlin Heidelberg. 6–15.

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van Assen, H.C., Danilouchkine, M.G., Frangi, A.F., Ordás, S., Westenberg, J.J.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2005. SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data Using a 3D-ASM. Functional Imaging and Modeling of the Heart. A.F. Frangi, P.I. Radeva, A. Santos, and M. Hernandez, eds. Springer Berlin Heidelberg. 33–43.

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Sonka, M., Thedens, D.R., Lelieveldt, B.P.F., Mitchell, S.C., van der Geest, R.J. and Reiber, J.H.C. 2005. Cardiovascular MR Image Analysis. Computer Vision Beyond the Visible Spectrum. B. Bhanu and I. Pavlidis, eds. Springer London. 193–239.

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Ordas, S., van Assen, H.C., Puente, J., Lelieveldt, B.P.F. and Frangi, A.F. 2005. Parametric optimization of a model-based segmentation algorithm for cardiac MR image analysis: a grid-computing approach. Studies in Health Technology and Informatics. 112, (2005), 146–156.

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Suinesiaputra, A., Frangi, A.F., Lamb, H.J., Reiber, J.H.C. and Lelieveldt, B.P.F. 2005. Automatic Prediction of Myocardial Contractility Improvement in Stress MRI Using Shape Morphometrics with Independent Component Analysis. Information Processing in Medical Imaging. G.E. Christensen and M. Sonka, eds. Springer Berlin Heidelberg. 321–332.

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Westenberg, J., Geest, R.J. van der, Lamb, H., Versteegh, M., Braun, J., Doornbos, J., Roos, A. de, Wall, E.E. van der, Dion, R., Reiber, J.C. and Bax, J.J. 2005. MRI to evaluate left atrial and ventricular reverse remodeling after restrictive mitral annuloplasty in dilated cardiomyopathy. Circulation. (2005). DOI:https://doi.org/10.1161/CIRCULATIONAHA.104.525659.

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Abrahamyan, L., Schaap, J.A., Hoekstra, A.G., Shamonin, D., Box, F.M.A., van der Geest, R.J., Reiber, J.H.C. and Sloot, P.M.A. 2005. A Problem Solving Environment for Image-Based Computational Hemodynamics. Computational Science – ICCS 2005. V.S. Sunderam, G.D. van Albada, P.M.A. Sloot, and J.J. Dongarra, eds. Springer Berlin Heidelberg. 287–294.

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Danilouchkine, M.G., Westenberg, J.J.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2005. Accuracy of short-axis cardiac MRI automatically derived from scout acquisitions in free-breathing and breath-holding modes. Magnetic Resonance Materials in Physics, Biology and Medicine. 18, 1 (2005), 7–18. DOI:https://doi.org/10.1007/s10334-004-0073-5.

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Westenberg, J., Doornbos, J., Versteegh, M., Bax, J., Vandergeest, R., Deroos, A., Dion, R. and Reiber, J. 2005. Accurate quantitation of regurgitant volume with MRI in patients selected for mitral valve repair. European Journal of Cardio-Thoracic Surgery. 27, 3 (2005), 462–467. DOI:https://doi.org/10.1016/j.ejcts.2004.11.015.

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Bosch, J.G., Nijland, F., Mitchell, S.C., Lelieveldt, B.P.F., Kamp, O., Reiber, J.H.C. and Sonka, M. 2005. Computer-aided diagnosis via model-based shape analysis. Academic Radiology. 12, 3 (2005), 358–367. DOI:https://doi.org/10.1016/j.acra.2004.11.025.

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?z??mc??, M., van der Geest, R.J., Sonka, M., Lamb, H.J., Reiber, J.H.C. and Lelieveldt, B.P.F. 2005. Multiview Active Appearance Models for Simultaneous Segmentation of Cardiac 2- and 4-Chamber Long-Axis Magnetic Resonance Images: Investigative Radiology. 40, 4 (2005), 195–203. DOI:https://doi.org/10.1097/01.rli.0000154216.94316.f7.

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Paelinck, B.P., de Roos, A., Bax, J.J., Bosmans, J.M., van Der Geest, R.J., Dhondt, D., Parizel, P.M., Vrints, C.J. and Lamb, H.J. 2005. Feasibility of tissue magnetic resonance imaging. Journal of the American College of Cardiology. 45, 7 (2005), 1109–1116. DOI:https://doi.org/10.1016/j.jacc.2004.12.051.

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van de Sande, M.A.J., Stoel, B.C., Obermann, W.R., Tjong a Lieng, J.G.S. and Rozing, P.M. 2005. Quantitative Assessment of Fatty Degeneration in Rotator Cuff Muscles Determined With Computed Tomography: Investigative Radiology. 40, 5 (2005), 313–319. DOI:https://doi.org/10.1097/01.rli.0000160014.16577.86.

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van den Dool, S.W., Wasser, M.N., de Fijter, J.W., Hoekstra, J. and van der Geest, R.J. 2005. Functional Renal Volume: Quantitative Analysis at Gadolinium-enhanced MR Angiography—Feasibility Study in Healthy Potential Kidney Donors. Radiology. 236, 1 (2005), 189–195. DOI:https://doi.org/10.1148/radiol.2361021463.

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de Vries, M., de Koning, P.J., de Haan, M.W., Kessels, A.G., Nelemans, P.J., Nijenhuis, R.J., Planken, R.N., Vasbinder, G.B.C., van Engelshoven, J.M.A., van der Geest, R.J. and Leiner, T. 2005. Accuracy of Semiautomated Analysis of 3D Contrast-Enhanced Magnetic Resonance Angiography for Detection and Quantification of Aortoiliac Stenoses: Investigative Radiology. 40, 8 (2005), 495–503. DOI:https://doi.org/10.1097/01.rli.0000163004.65460.8b.

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Kaptein, B.L., Valstar, E.R., Stoel, B.C., Rozing, P.M. and Reiber, J.H.C. 2005. A new type of model-based Roentgen stereophotogrammetric analysis for solving the occluded marker problem. Journal of Biomechanics. 38, 11 (2005), 2330–2334. DOI:https://doi.org/10.1016/j.jbiomech.2004.09.018.

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Danilouchkine, M.G., van der Geest, R.J., Westenberg, J.J.M., Lelieveldt, B.P.F. and Reiber, J.H.C. 2005. Influence of positional and angular variation of automatically planned short-axis stacks on quantification of left ventricular dimensions and function with cardiovascular magnetic resonance. Journal of Magnetic Resonance Imaging. 22, 6 (2005), 754–764. DOI:https://doi.org/10.1002/jmri.20442.

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Bakker, M.E., Stolk, J., Putter, H., Shaker, S.B., Parr, D.G., Piitulainen, E., Russi, E.W., Dirksen, A., Stockley, R.A., Reiber, J.H.C. and Stoel, B.C. 2005. Variability in Densitometric Assessment of Pulmonary Emphysema With Computed Tomography: Investigative Radiology. 40, 12 (2005), 777–783. DOI:https://doi.org/10.1097/01.rli.0000186418.31139.21.

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Angelié, E., de Koning, P.J.H., Danilouchkine, M.G., van Assen, H.C., Koning, G., van der Geest, R.J. and Reiber, J.H.C. 2005. Optimizing the automatic segmentation of the left ventricle in magnetic resonance images: Optimizing the automatic segmentation of MR left ventricle. Medical Physics. 32, 2 (Jan. 2005), 369–375. DOI:https://doi.org/10.1118/1.1842912.

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Marquering, H.A., Dijkstra, J., de Koning, P.J.H., Stoel, B.C. and Reiber, J.H.C. 2005. Towards quantitative analysis of coronary CTA. The International Journal of Cardiovascular Imaging. 21, 1 (Feb. 2005), 73–84. DOI:https://doi.org/10.1007/s10554-004-5341-y.

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Danilouchkine, M., Westenberg, J., de Roos, A., Reiber, J. and Lelieveldt, B. 2005. Operator Induced Variability in Cardiovascular MR: Left Ventricular Measurements and Their Reproducibility. Journal of Cardiovascular Magnetic Resonance. 7, 2 (Apr. 2005), 447–457. DOI:https://doi.org/10.1081/JCMR-200053578.

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van Stralen, M., Bosch, J.G., Voormolen, M.M., van Burken, G., Krenning, B.J., van Geuns, R.J.M., Angelie, E., van der Geest, R.J., Lancee, C.T., de Jong, N. and Reiber, J.H.C. 2005. Semi-automatic border detection method for left ventricular volume estimation in 4D ultrasound data. (San Diego, CA, Apr. 2005), 1457.

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Danilouchkine, M.G., Admiraal-Behloul, F., van der Geest, R.J., Lelieveldt, B.P.F. and Reiber, J.H.C. 2005. Automated quantification of cardiac short-axis multi-slice CT images for assessment of left ventricular global function. (San Diego, CA, Apr. 2005), 463.

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Staring, M., Klein, S. and Pluim, J.P.W. 2005. Nonrigid registration with adaptive content-based filtering of the deformation field. (San Diego, CA, Apr. 2005), 212.

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Klein, S., Staring, M. and Pluim, J.P.W. 2005. Comparison of gradient approximation techniques for optimisation of mutual information in nonrigid registration. (San Diego, CA, Apr. 2005), 192.

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Box, F.M.A., van der Geest, R.J., Rutten, M.C.M. and Reiber, J.H.C. 2005. The Influence of Flow, Vessel Diameter, and Non-Newtonian Blood Viscosity on the Wall Shear Stress in a Carotid Bifurcation Model for Unsteady Flow. Investigative Radiology. 40, 5 (May 2005), 277–294. DOI:https://doi.org/10.1097/01.rli.0000160550.95547.22.

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Frangi, A., Niessen, W., Viergever, M. and Lelieveldt, B. 2005. A Survey of Three-Dimensional Modeling Techniques for Quantitative Functional Analysis of Cardiac Images. Advanced Image Processing in Magnetic Resonance Imaging. L. Landini, V. Positano, and M. Filomena Santarelli, eds. CRC Press. 267–341.

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van Stralen, M., van der Steen, T., Reiber, J., Bosch, H., Voormolen, M., van Burken, G., Krenning, E., van Geuns, R.J., Angelié, E., van der Geest, R., Lancée, C. and de Jong, N. 2005. A novel dynamic programming based semi-automatic endocardial border detection method for 4D cardiac ultrasound. (Dec. 2005). DOI:https://doi.org/10.1109/ULTSYM.2005.1603072.

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Warda, H.M., Jukema, W.J., Oemrawsingh, P.V., Dijkstra, J., Atsma, D.E., van der Hoeven, B.L., Schalij, M.J. and van der Wall, E.E. 2004. Intravascular ultrasound-guided high-pressure balloons to treat recurrent focal sites of in-stent restenosis after failed sirolimus-eluting stents to treat long in-stent restenosis. AMERICAN JOURNAL OF CARDIOLOGY (2004), 55E-56E.

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van der Hoeven, B.L., Liem, S.S.L., Oemrawsingh, P.V., Dijkstra, J., Jukema, J.W., Atsma, D.E., Zeppenfeld, K. and Schalij, M.J. 2004. Intravascular ultrasound analysis of culprit lesions in patients presenting with acute myocardial infarction. AMERICAN JOURNAL OF CARDIOLOGY (2004), 240E-240E.

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Suinesiaputra, A., Frangi, A.F., Üzümcü, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2004. Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. M. Sonka, I.A. Kakadiaris, and J. Kybic, eds. Springer Berlin Heidelberg. 75–86.

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van der Geest, R., Lelieveldt, B., Angeli�, E., Danilouchkine, M., Swingen, C., Sonka, M. and Reiber, J. 2004. Evaluation of a New Method for Automated Detection of Left Ventricular Boundaries in Time Series of Magnetic Resonance Images Using an Active Appearance Motion Model. Journal of Cardiovascular Magnetic Resonance. 6, 3 (2004), 609–617. DOI:https://doi.org/10.1081/JCMR-120038082.

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Suinesiaputra, A., Üzümcü, M., Frangi, A.F., Kaandorp, T.A.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2004. Detecting Regional Abnormal Cardiac Contraction in Short-Axis MR Images Using Independent Component Analysis. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. C. Barillot, D.R. Haynor, and P. Hellier, eds. Springer Berlin Heidelberg. 737–744.

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Schaap, J.A., de Koning, P.J.H., Janssen, J.P., van der Geest, R.J. and Reiber, J.H.C. 2004. Quantitative analysis of vascular images, in particular of abdominal aorta aneurysms from 3D CTA data sets. Studies in Health Technology and Informatics. 103, (2004), 252–258.

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Westenberg, J., Danilouchkine, M., Doornbos, J., Bax, J., van der Geest, R., Labadie, G., Lamb, H., Versteegh, M., de Roos, A. and Reiber, J. 2004. Accurate and Reproducible Mitral Valvular Blood Flow Measurement with Three?Directional Velocity?Encoded Magnetic Resonance Imaging. Journal of Cardiovascular Magnetic Resonance. 6, 4 (2004), 767–776. DOI:https://doi.org/10.1081/JCMR-200036108.

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Stoel, B.C., Bakker, M.E., Stolk, J., Dirksen, A., Stockley, R.A., Piitulainen, E., Russi, E.W. and Reiber, J.H.C. 2004. Comparison of the Sensitivities of 5 Different Computed Tomography Scanners for the Assessment of the Progression of Pulmonary Emphysema: A Phantom Study. Investigative Radiology. 39, 1 (2004), 1–7. DOI:https://doi.org/10.1097/01.rli.0000091842.82062.a3.

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Kaptein, B.L., R Valstar, E., Stoel, B.C., Rozing, P.M. and Reiber, J.H.C. 2004. Evaluation of three pose estimation algorithms for model-based Roentgen stereophotogrammetric analysis. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 218, 4 (2004), 231–238. DOI:https://doi.org/10.1243/0954411041561036.

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Adame, I.M., van der Geest, R.J., Wasserman, B.A., Mohamed, M.A., Reiber, J.H.C. and Lelieveldt, B.P.F. 2004. Automatic segmentation and plaque characterization in atherosclerotic carotid artery MR images. Magnetic Resonance Materials in Physics, Biology and Medicine. 16, 5 (2004), 227–234. DOI:https://doi.org/10.1007/s10334-003-0030-8.

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van Assen, H.C., Vasbinder, G.B.C., Stoel, B.C., Putter, H., van Engelshoven, J.M.A. and Reiber, J.H.C. 2004. Quantitative Assessment of the Morphology of Renal Arteries from X-ray Images: Quantitative Vascular Analysis. Investigative Radiology. 39, 6 (2004), 365–373. DOI:https://doi.org/10.1097/01.rli.0000126178.51618.13.

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Lelieveldt, B.P.F., Geest, R.J. and Reiber, J.H.C. 2004. Towards “One-Stop” Cardiac MR Image Analysis. Imaging Decisions MRI. 8, 2 (2004), 2–12. DOI:https://doi.org/10.1111/j.1617-0830.2004.00019.x.

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Schuijf, J.D., Kaandorp, T.A.M., Lamb, H.J., Geest, R.J. van der, Viergever, E.P., Wall, E.E. van der, de Roos, A. and Bax, J.J. 2004. Quantification of myocardial infarct size and transmurality by contrast-enhanced magnetic resonance imaging in men. The American Journal of Cardiology. 94, 3 (2004), 284–288. DOI:https://doi.org/10.1016/j.amjcard.2004.04.020.

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Stoel, B.C. and Stolk, J. 2004. Optimization and Standardization of Lung Densitometry in the Assessment of Pulmonary Emphysema: Investigative Radiology. 39, 11 (2004), 681–688. DOI:https://doi.org/10.1097/00004424-200411000-00006.

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Parr, D.G., Stoel, B.C., Stolk, J. and Stockley, R.A. 2004. Pattern of Emphysema Distribution in α1-Antitrypsin Deficiency Influences Lung Function Impairment. American Journal of Respiratory and Critical Care Medicine. 170, 11 (2004), 1172–1178. DOI:https://doi.org/10.1164/rccm.200406-761OC.

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Kaptein, B. l., Valstar, E. r., Stoel, B. c., Rozing, P. m. and Reiber, J. h. c. 2004. Model-based rsa validated using cad models and models from reversed engineering. Orthopaedic Proceedings. 86-B, SUPP_I (Jan. 2004), 13–13. DOI:https://doi.org/10.1302/0301-620X.86BSUPP_I.0860013b.

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Dirksen, M.S., Bax, J.J., de Roos, A., Jukema, J.W., van der Geest, R.J., Geleijns, J., van der Wall, E.E. and Lamb, H.J. 2004. Dynamic Multislice Computed Tomography of Left Ventricular Function. Circulation. 109, 4 (Feb. 2004). DOI:https://doi.org/10.1161/01.CIR.0000108161.29909.0B.

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Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G. and Reiber, J.H.C. 2004. Multi-agent segmentation of IVUS images. Pattern Recognition. 37, 4 (Apr. 2004), 647–663. DOI:https://doi.org/10.1016/j.patcog.2003.09.015.

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Kaptein, B. l., Valstar, E. r., Stoel, B. c., Rozing, P. m. and Reiber, J. h. c. 2004. Model-based roentgen stereophotogrammetric analysis. Orthopaedic Proceedings. 86-B, SUPP_IV (Apr. 2004), 411–411. DOI:https://doi.org/10.1302/0301-620X.86BSUPP_IV.0860411d.

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Adame, I.M., van der Geest, R.J., Wasserman, B.A., Mohamed, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2004. Automatic plaque characterization and vessel wall segmentation in magnetic resonance images of atherosclerotic carotid arteries. (San Diego, CA, May 2004), 265.

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Admiraal-Behloul, F., Lelieveldt, B.P.F., Ferrarini, L., Olofsen, H., van der Geest, R.J. and Reiber, J.H.C. 2004. A virtual exploring mobile robot for left ventricle contour tracking. 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) (Jul. 2004), 333–338.

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Westenberg, J.J.M., Doornbos, J., Bax, J.J., Danilouchkine, M.G., van der Geest, R.J., Labadie, G., Lamb, H.J., Versteegh, M.I.M., de Roos, A., Dion, R.A.E. and Reiber, J.H.C. 2004. Mitral valve regurgitation: accurate blood flow quantification with MRI. Netherlands Heart Journal. 12, 9 (Sep. 2004), 382–388.

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Parr, D.G., Stoel, B.C., Stolk, J., Nightingale, P.G. and Stockley, R.A. 2004. Influence of Calibration on Densitometric Studies of Emphysema Progression Using Computed Tomography. American Journal of Respiratory and Critical Care Medicine. 170, 8 (Oct. 2004), 883–890. DOI:https://doi.org/10.1164/rccm.200403-326OC.

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Shaker, S.B. 2004. 1-Antitrypsin deficiency {middle dot} 7: Computed tomographic imaging in 1-antitrypsin deficiency. Thorax. 59, 11 (Nov. 2004), 986–991. DOI:https://doi.org/10.1136/thorax.2003.006569.

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Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2003. Automated 3-dimensional stent border detection in intravascular ultrasound pullback series. AMERICAN JOURNAL OF CARDIOLOGY (2003), 201L-201L.

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Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2003. P3227 Improved automated stent border detection in intravascular ultrasound pullback series. European Heart Journal. 5 Supplement 2, 24 (2003), 606. DOI:https://doi.org/10.1016/S0195-668X(03)95853-2.

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Oost, C.R., Lelieveldt, B.P.F., Üzümcü, M., Lamb, H., Reiber, J.H.C. and Sonka, M. 2003. Multi-view Active Appearance Models: Application to X-Ray LV Angiography and Cardiac MRI. Information Processing in Medical Imaging. C. Taylor and J.A. Noble, eds. Springer Berlin Heidelberg. 234–245.

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van Assen, H.C., Danilouchkine, M.G., Behloul, F., Lamb, H.J., van der Geest, R.J., Reiber, J.H.C. and Lelieveldt, B.P.F. 2003. Cardiac LV Segmentation Using a 3D Active Shape Model Driven by Fuzzy Inference. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. R.E. Ellis and T.M. Peters, eds. Springer Berlin Heidelberg. 533–540.

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Üzümcü, M., Frangi, A.F., Sonka, M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2003. ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. R.E. Ellis and T.M. Peters, eds. Springer Berlin Heidelberg. 451–458.

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Suinesiaputra, A., Florack, L.M.J., Westenberg, J.J.M., ter Haar Romeny, B.M., Reiber, J.H.C. and Lelieveldt, B.P.F. 2003. Optic Flow Computation from Cardiac MR Tagging Using a Multiscale Differential Method. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. R.E. Ellis and T.M. Peters, eds. Springer Berlin Heidelberg. 483–490.

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Angelié, E., P. J.H. Koning, D., H. C. Assen, V., Danilouchkine, M.G., Koning, G., R. J. Geest, V.D. and Reiber, J.H.C. 2003. Automatic tuning of MR left ventricle segmentation using genetic algorithms. International Society for Magnetic Resonance in Medicine. (2003), 2596.

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van Assen, H.C., Vasbinder, G.B.C., Stoel, B.C., van Engelshoven, J.M.A. and Reiber, J.H.C. 2003. Quantitative Vascular Angiography (QVA): Application in Renal Arteries. Catheterization and Cardiovascular Interventions. 59, 1 (2003).

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Sonka, M., Bosch, J.G., Lelieveldt, B.P.F., Mitchell, S.C. and Reiber, J.H.C. 2003. Computer-aided diagnosis via model-based shape analysis: cardiac MR and echo. International Congress Series. 1256, (2003), 1013–1018. DOI:https://doi.org/10.1016/S0531-5131(03)00261-9.

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Angelié, E., de Koning, P.J.H., van Assen, H.C., Danilouchkine, M., Koning, G., van der Geest, R.J. and Reiber, J.H.C. 2003. Automatic tuning of left ventricular segmentation of MR images using genetic algorithms. International Congress Series. 1256, (2003), 1102–1107. DOI:https://doi.org/10.1016/S0531-5131(03)00351-0.

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Kaptein, B.L., Valstar, E.R., Stoel, B.C., Rozing, P.M. and Reiber, J.H.C. 2003. A new model-based RSA method validated using CAD models and models from reversed engineering. Journal of Biomechanics. 36, 6 (2003), 873–882. DOI:https://doi.org/10.1016/S0021-9290(03)00002-2.

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Box, F.M.A., Spilt, A., Van Buchem, M.A., van der Geest, R.J. and Reiber, J.H.C. 2003. Automatic Model-Based Contour Detection and Blood Flow Quantification in Small Vessels with Velocity Encoded Magnetic Resonance Imaging: Investigative Radiology. 38, 9 (2003), 567–577. DOI:https://doi.org/10.1097/01.RLI.0000077125.58014.36.

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Dirksen, M.S., Lamb, H.J., van der Geest, R. and de Roos, A. 2003. Toward comparability of coronary magnetic resonance angiography: proposal for a standardized quantitative assessment. European Radiology. 13, 10 (2003), 2353–2357. DOI:https://doi.org/10.1007/s00330-003-2007-4.

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de Koning, P.J.H., Schaap, J.A., Janssen, J.P., Westenberg, J.J.M., van der Geest, R.J. and Reiber, J.H.C. 2003. Automated segmentation and analysis of vascular structures in magnetic resonance angiographic images. Magnetic Resonance in Medicine. 50, 6 (2003), 1189–1198. DOI:https://doi.org/10.1002/mrm.10617.

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Bovenkamp, E., Dijkstra, J., Bosch, J.G. and Reiber, J.H.C. 2003. Multi-agent IVUS image segmentation. Medical Imaging 2003: Image Processing (May 2003), 619–630.

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Oost, E., Lelieveldt, B.P.F., Koning, G., Sonka, M. and Reiber, J.H.C. 2003. Left ventricle contour detection in x-ray angiograms using multi-view active appearance models. (San Diego, CA, May 2003), 394.

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Bosch, J.G., Nijland, F., Mitchell, S.C., Lelieveldt, B.P.F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2003. Automated classification of wall motion abnormalities by principal component analysis of endocardial shape motion patterns in echocardiograms. (San Diego, CA, May 2003), 38.

[1]

z’mc, M., Frangi, A.F., Reiber, J.H.C. and Lelieveldt, B.P.F. 2003. Independent component analysis in statistical shape models. (San Diego, CA, May 2003), 375.

[1]

van Assen, H.C., van der Geest, R.J., Danilouchkine, M.G., Lamb, H.J., Reiber, J.H.C. and Lelieveldt, B.P.F. 2003. Three-dimensional active shape model matching for left ventricle segmentation in cardiac CT. (San Diego, CA, May 2003), 384.

[1]

Mitchell, S.C., Lelieveldt, B.P.F., Bosch, H.G., Reiber, J.H.C. and Sonka, M. 2003. Disease characterization of active appearance model coefficients. (San Diego, CA, May 2003), 949.

[1]

Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2003. Automatic stent border detection in intravascular ultrasound images. International Congress Series. 1256, (Jun. 2003), 1111–1116. DOI:https://doi.org/10.1016/S0531-5131(03)00288-7.

[1]

Lelieveldt, B.P.F., Üzümcü, M., van der Geest, R.J., Reiber, J.H.C. and Sonka, M. 2003. Multi-view active appearance models for consistent segmentation of multiple standard views: application to long- and short-axis cardiac MR images. International Congress Series. 1256, (Jun. 2003), 1141–1146. DOI:https://doi.org/10.1016/S0531-5131(03)00470-9.

[1]

Jobse, M., Davelaar, J., Hendriks, E., Kattevilder, R., Reiber, H. and Stoel, B. 2003. A new algorithm for the registration of portal images to planning images in the verification of radiotherapy, as validated in prostate treatments. Medical Physics. 30, 9 (Aug. 2003), 2274–2281. DOI:https://doi.org/10.1118/1.1592018.

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Stolk, J. 2003. Correlation between annual change in health status and computer tomography derived lung density in subjects with 1-antitrypsin deficiency. Thorax. 58, 12 (Dec. 2003), 1027–1030. DOI:https://doi.org/10.1136/thorax.58.12.1027.

2881796 2002 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

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Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V., von Birgelen, C. and Reiber, J.H.C. 2002. Automatic stent border detection in IntraVascular UltraSound images for quantitative measurements of the stent parameters. CARS 2002 Computer Assisted Radiology and Surgery (Berlin, Heidelberg, 2002), 819–824.

[1]

Dijkstra, J. and Reiber, J.H. 2002. Quantitative Angiography (QCA And IVUS). Intravascular Brachytherapy Fluoroscopically Guided Interventions: American Association of Physicists in Medicine, 2002 Summer School Proceedings, McGill University, Montreal, Quebec, July 18-21, 2002. 28 (2002), 55.

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Mieog, J.S.D., Hutteman, M., van der Vorst, J.R., Dijkstra, J. and Kuppen, P.J.K. 2002. Intraoperative near-infrared fluorescence imaging of colorectal metastases. Cancer. 2, (2002), 91–100.

[1]

Dijkstra, J. and Reiber, J. 2002. Quantitative IntraVascular UltraSound. MEDICAL PHYSICS (2002), 1301–1301.

[1]

Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2002. Quantitative three-dimensional intravascular ultrasound: improvements towards (semi-) automated border detection including the stent border. EUROPEAN HEART JOURNAL (2002), 276–276.

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Lelieveldt, B.P.F., Mitchell, S.C., Bosch, J.G., van der Geest, R.J., Sonka, M. and Reiber, J.H.C. 2002. 3D active appearance models: application to cardiac MR and ultrasound image segmentation. CARS 2002 Computer Assisted Radiology and Surgery. H.U. Lemke, K. Inamura, K. Doi, M.W. Vannier, A.G. Farman, and J.H.C. Reiber, eds. Springer Berlin Heidelberg. 897–901.

[1]

H. C. Assen, V., Lelieveldt, B.P.F., Danilouchkine, M.G., R. J. Geest, V.D. and Reiber, J.H.C. 2002. Automatic determination of LV volume in MSCT using 3D Active Shape Models (ASMs). The International Journal of Cardiovascular Imaging. 17, 6 (2002), 493–494.

[1]

Box, F.M.A., van der Geest, R.J., de Koning, P.J.H., Schaap, J., Reiber, J.H.C., van Buchem, M.A., Doornbos, J., Rutten, M.C.M. and van de Vosse, F.N. 2002. Quantitative Methods for Comparisons between Velocity Encoded MR-Measurements and Finite Element Modeling in Phantom Models. Computational Science — ICCS 2002. P.M.A. Sloot, A.G. Hoekstra, C.J.K. Tan, and J.J. Dongarra, eds. Springer Berlin Heidelberg. 255–264.

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Schaap, J.A., de Koning, P.J.H., Janssen, J.P., Westenberg, J.J.M., van der Geest, R.J. and Reiber, J.H.C. 2002. 3D Quantification Visualization of Vascular Structures in Magnetic Resonance Angiographic Images. Computational Science — ICCS 2002. P.M.A. Sloot, A.G. Hoekstra, C.J.K. Tan, and J.J. Dongarra, eds. Springer Berlin Heidelberg. 242–254.

[1]

Guzman, R., Barth, A., Remonda, L., de Koning, J.P.H., van der Geest, R.J., Oswald, H. and Schroth, G. 2002. Correlation of quantitative MR-angiography of the carotid artery with in vivo measurement during carotid endarterectomy. CARS 2002 Computer Assisted Radiology and Surgery. H.U. Lemke, K. Inamura, K. Doi, M.W. Vannier, A.G. Farman, and J.H.C. Reiber, eds. Springer Berlin Heidelberg. 917–922.

[1]

Geest, R.J. van der, Behloul, F., Lelieveldt, B.P.F., Stoel, B., Koning, P.D., Schaap, J. and Reiber, J.H.C. 2002. Computerized methods for quantitative image analysis. European Radiology. 12, 1,Suppl. (2002), 503.

[1]

Janssen, J.P., Egmont-Petersen, M., Hendriks, E.A., Reinders, M.J.T., van der Geest, R.J., Hogendoorn, P.C.W. and Reiber, J.H.C. 2002. Scale-invariant segmentation of dynamic contrast-enhanced perfusion MR images with inherent scale selection. The Journal of Visualization and Computer Animation. 13, 1 (2002), 1–19. DOI:https://doi.org/10.1002/vis.276.

[1]

Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2002. Quantitative three-dimensional IntraVascular UltraSound: improvements toward semi-automated border detection including the stent border. Journal of the American College of Cardiology. 39, (2002), 451. DOI:https://doi.org/10.1016/S0735-1097(02)82025-3.

[1]

Spilt, A., Box, F.M.A., van der Geest, R.J., Reiber, J.H.C., Kunz, P., Kamper, A.M., Blauw, G.J. and van Buchem, M.A. 2002. Reproducibility of total cerebral blood flow measurements using phase contrast magnetic resonance imaging. Journal of Magnetic Resonance Imaging. 16, 1 (2002), 1–5. DOI:https://doi.org/10.1002/jmri.10133.

[1]

Dirksen, M.S., Bax, J.J., de Roos, A., Jukema, J.W., van der Geest, R.J., Geleijns, K., Boersma, E., van der Wall, E.E. and Lamb, H.J. 2002. Usefulness of dynamic multislice computed tomography of left ventricular function in unstable angina pectoris and comparison with echocardiography. The American Journal of Cardiology. 90, 10 (2002), 1157–1160. DOI:https://doi.org/10.1016/S0002-9149(02)02789-3.

[1]

Behloul, F., Lelieveldt, B.P.F., Boudraa, A. and Reiber, J.H.C. 2002. Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data. Pattern Recognition. 35, 3 (Mar. 2002), 659–675. DOI:https://doi.org/10.1016/S0031-3203(01)00033-4.

[1]

Mitchell, S.C., Lelieveldt, B.P.F., Bosch, J.G., van der Geest, R.J., Reiber, J.H.C. and Sonka, M. 2002. Segmentation of cardiac MR volume data using 3D active appearance models. (San Diego, CA, May 2002), 433.

[1]

Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2002. Fully automated endocardial contour detection in time sequences of echocardiograms by three-dimensional active appearance models. (San Diego, CA, May 2002), 452.

[1]

Staal, E.M., Steendijk, P., Koning, G., Dijkstra, J., Jukema, J.W. and Baan, J. 2002. Continuous on-line measurement of absolute left ventricular volume by transcardiac conductance: Angiographic validation in sheep. Critical Care Medicine. 30, 6 (Jun. 2002), 1301–1305.

[1]

Koning, G., Dijkstra, J., von Birgelen, C., Tuinenburg, J.C., Brunette, J., Tardif, J.-C., Oemrawsingh, P.W., Sieling, C., Melsa, S. and Reiber, J.H.C. 2002. Advanced contour detection for three-dimensional intracoronary ultrasound: a validation – in vitro and in vivo. The International Journal of Cardiovascular Imaging. 18, 4 (Aug. 2002), 235–248. DOI:https://doi.org/10.1023/A:1015551920382.

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Mitchell, S.C., Bosch, J.G., Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C. and Sonka, M. 2002. 3-D active appearance models: segmentation of cardiac MR and ultrasound images. IEEE Transactions on Medical Imaging. 21, 9 (Sep. 2002), 1167–1178. DOI:https://doi.org/10.1109/TMI.2002.804425.

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Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2002. Automatic segmentation of echocardiographic sequences by active appearance motion models. IEEE Transactions on Medical Imaging. 21, 11 (Nov. 2002), 1374–1383. DOI:https://doi.org/10.1109/TMI.2002.806427.

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Bovenkamp, E.G.P., Dijkstra, J., Bosch, J.G. and Reiber, J.H.C. 2001. Collaborative Multi-agent IVUS Image Segmentation. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001 (Berlin, Heidelberg, 2001), 1185–1186.

[1]

Oemrawsingh, P., Dijkstra, J., Den Heyer, P., Koning, G., Schalij, M.J.J. and Van der Wall, E.E. 2001. Cutting balloon used before stenting (CUBUS study): Intravascular ultrasound analysis of randomized predilation with conventional cutting balloon before stent placement. CIRCULATION (2001), 623–623.

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Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2001. Automated stent border detection in three-dimensional IntraVascular UltraSound: Improvements towards automated border detection. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2001), 496A-496A.

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Lelieveldt, B.P.F., van der Geest, R.J., Reiber, J.H.C., Bosch, J.G., Mitchell, S.C. and Sonka, M. 2001. Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models. Information Processing in Medical Imaging (Berlin, Heidelberg, 2001), 446–452.

[1]

Egmont-Petersen, M., Hogendoorn, P.C.W., van der Geest, R.J., Bloem, J.L. and Reiber, J.H.C. 2001. Assessment of the influence of preoperative chemotherapy in patients with osteosarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling. Bildverarbeitung für die Medizin 2001. H. Handels, A. Horsch, T. Lehmann, and H.-P. Meinzer, eds. Springer Berlin Heidelberg. 399–403.

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Behloul, F., Lelieveldt, B.P.F., van der Geest, R.J. and Reiber, J.H.C. 2001. A Virtual Exploring Robot for Adaptive Left Ventricle Contour Detection in Cardiac MR Images. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001 (Berlin, Heidelberg, 2001), 1287–1288.

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Lelieveldt, B.P.F., Mitchell, S.C., van der Geest, R.J., Bosch, H.G., Sonka, M. and Reiber, J.H.C. 2001. Time continuous segmentation of cardiac MR images using Active Appearance Motion Models. International Congress Series. 1230, (2001), 961–966. DOI:https://doi.org/10.1016/S0531-5131(01)00162-5.

[1]

Wagenaar, H.C., Trimbos, J.B.M.Z., Postema, S., Anastasopoulou, A., van der Geest, R.J., Reiber, J.H.C., Kenter, G.G., Peters, A.A.W. and Pattynama, P.M.T. 2001. Tumor Diameter and Volume Assessed by Magnetic Resonance Imaging in the Prediction of Outcome for Invasive Cervical Cancer. Gynecologic Oncology. 82, 3 (2001), 474–482. DOI:https://doi.org/10.1006/gyno.2001.6267.

[1]

Sonka, M., Lelieveldt, B.P.F., Mitchell, S.C., Bosch, J.G., Van der Geest, R.J. and Reiber, J.H.C. 2001. Active appearance motion model segmentation. Proceedings Second International Workshop on Digital and Computational Video (Feb. 2001), 64–68.

[1]

Mitchell, S.C., Lelieveldt, B.P.F., van der Geest, R.J., Bosch, H.G., Reiver, J.H.C. and Sonka, M. 2001. Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images. IEEE Transactions on Medical Imaging. 20, 5 (May 2001), 415–423. DOI:https://doi.org/10.1109/42.925294.

[1]

Behloul, F., Boudraa, A., Lelieveldt, B.P.F., Janier, M. and Reiber, J.H.C. 2001. Myocardium extraction in positron emission tomography based on soft computing. Computerized Medical Imaging and Graphics. 25, 3 (May 2001), 277–286. DOI:https://doi.org/10.1016/S0895-6111(00)00067-7.

[1]

Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V., von Birgelen, C. and Reiber, J.H.C. 2001. Automatic border detection in IntraVascular UltraSound images for quantitative measurements of the vessel, lumen and stent parameters. International Congress Series. 1230, (Jun. 2001), 916–922. DOI:https://doi.org/10.1016/S0531-5131(01)00155-8.

[1]

Bosch, H.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2001. Active Appearance–Motion Models for fully automated endocardial contour detection in time sequences of echocardiograms. International Congress Series. 1230, (Jun. 2001), 941–947. DOI:https://doi.org/10.1016/S0531-5131(01)00159-5.

[1]

Bosch, H.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2001. Active appearance motion models for endocardial contour detection in time sequences of echocardiograms. (San Diego, CA, Jul. 2001), 257–268.

[1]

Mitchell, S.C., Lelieveldt, B.P.F., Geest, R.J. van der, Bosch, H.G., Reiber, J.H.C. and Sonka, M. 2001. Time-continuous segmentation of cardiac MR image sequences using active appearance motion models. Medical Imaging 2001: Image Processing (Jul. 2001), 249–256.

[1]

Bosch, J.G., Mitchell, S.C., Lelieveldt, B.P.F., Nijland, F., Kamp, O., Sonka, M. and Reiber, J.H.C. 2001. Fully automated endocardial contour detection in time sequences of echocardiograms by active appearance motion models. Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287) (Sep. 2001), 93–96.

[1]

Stolk, J., Dirksen, A., Van Der LUGT, A. a. D., Hutsebaut, J., Mathieu, J., D e REE, J., Reiber, J.H.C. and Stoel, B.C. 2001. Repeatability of Lung Density Measurements with Low-Dose Computed Tomography in Subjects with α-1-Antitrypsin Deficiency–Associated Emphysema. Investigative Radiology. 36, 11 (Nov. 2001), 648–651.

[1]

Lelieveldt, B.P.F., van der Geest, R.J., Lamb, H.J., Kayser, H.W.M. and Reiber, J.H.C. 2001. Automated Observer-independent Acquisition of Cardiac Short-Axis MR Images: A Pilot Study. Radiology. 221, 2 (Nov. 2001), 537–542. DOI:https://doi.org/10.1148/radiol.2212010177.

[1]

Behloul, F., Lelieveldt, B.P.F., Boudraa, A., Janier, M.F., Revel, D. and Reiber, J.H.C. 2001. Neuro-fuzzy systems for computer-aided myocardial viability assessment. IEEE Transactions on Medical Imaging. 20, 12 (Dec. 2001), 1302–1313. DOI:https://doi.org/10.1109/42.974925.

2881796 2000 items 1 acm-sig-proceedings-long-author-list date asc year https://lkeb.lumc.nl/wp-content/plugins/zotpress/

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Dijkstra, J., Koning, G., Tuinenburg, J., Oemrawsingh, P. and Reiber, J. 2000. (Semi-)automated quantitative analysis of three-dimensional intravascular ultrasound images. European Heart Journal. 21, (2000), 506–506.

[1]

Koning, G., Dijkstra, J., Brunette, J., Tardif, J.C. and Reiber, J.H.C. 2000. Quantitative intracoronary ultrasound: Reliable measurements on newly developed phantoms. AMERICAN JOURNAL OF CARDIOLOGY (2000), 102I-102I.

[1]

Dijkstra, J., Koning, G., Tuinenburg, J.C., Oemrawsingh, P.V. and Reiber, J.H.C. 2000. Quantitative three-dimensional intravascular ultrasound: Improvements toward automated border detection including the stent border. AMERICAN JOURNAL OF CARDIOLOGY (2000), 21I-22I.

[1]

Koning, G., Dijkstra, J., von Birgelen, C. and Reiber, J.H.C. 2000. Semiautomated border detection for three-dimensional intracoronary ultrasound: Validation of the use of knowledge and models. AMERICAN JOURNAL OF CARDIOLOGY (2000), 102I-102I.

[1]

Staal, E.M., Steendijk, P., Dijkstra, J., Koning, G., Jukema, J.W. and Baan, J. 2000. Trans-Cardiac Conductance: Continuous on-line monitoring of left ventricular volume and its validation in sheep. EUROPEAN HEART JOURNAL (2000), 510–510.

[1]

Westenberg, J.J.M., van der Geest, R.J., Wasser, M.N.J.M., van der Linden, E.L., van Walsum, T., van Assen, H.C., de Roos, A., Vanderschoot, J. and Reiber, J.H.C. 2000. Vessel diameter measurements in gadolinium contrast-enhanced three-dimensional MRA of peripheral arteries. Magnetic Resonance Imaging. 18, 1 (2000), 13–22. DOI:https://doi.org/10.1016/S0730-725X(99)00099-5.

[1]

Egmont-Petersen, M., Hogendoorn, P.C.W., van der Geest, R.J., Vrooman, H.A., van der Woude, H.-J., Janssen, J.P., Bloem, J.L. and Reiber, J.H.C. 2000. Detection of areas with viable remnant tumor in postchemotherapy patients with Ewing’s sarcoma by dynamic contrast-enhanced MRI using pharmacokinetic modeling. Magnetic Resonance Imaging. 18, 5 (2000), 525–535. DOI:https://doi.org/10.1016/S0730-725X(00)00144-2.

[1]

Mitchell, S.C., Lelieveldt, B.P.F., van der Geest, R.J., Schaap, J., Reiber, J.H.C. and Sonka, M. 2000. Segmentation of cardiac MR images: an active appearance model approach. (San Diego, CA, Jun. 2000), 224–234.

[1]

Rezaee, M.R., van der Zwet, P.M.J., Lelieveldt, B.P.E., van der Geest, R.J. and Reiber, J.H.C. 2000. A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering. IEEE Transactions on Image Processing. 9, 7 (Jul. 2000), 1238–1248. DOI:https://doi.org/10.1109/83.847836.

[1]

Lelieveldt, B.P.F., Sonka, M., Bolinger, L., Scholz, T.D., Kayser, H., van der Geest, R. and Reiber, J.H.C. 2000. Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and Lungs in Thoracic MR Volumes. Computer Vision and Image Understanding. 80, 1 (Oct. 2000), 1–20. DOI:https://doi.org/10.1006/cviu.2000.0864.

[1]

van der Geest, R.J., Lelieveldt, B.P.F. and Reiber, J.H.C. 2000. Quantification of Global and Regional Ventricular Function in Cardiac Magnetic Resonance Imaging. Topics in Magnetic Resonance Imaging. 11, 6 (Dec. 2000), 348–358.