Elbially Elmahdy |
Mohamed |
Deep learning for online adaptive radiotherapy |
|
March 15, 2022 |
Somarakis |
Antonios (Antonis) |
Visual Analytics for Spatially Resolved OMICS Data at Single Cell Resolution: Methods & Application |
|
January 20, 2022 |
Sokooti Oskooyi |
Hessam |
Supervised learning for medical image registration |
|
November 25, 2021 |
Stegehuis |
Paulien |
The use of optical techniques to guide cancer diagnosis and radical surgical resections |
|
April 20, 2021 |
Keo |
Dar-lin (Arlin) |
Analyzing spatial transcriptomics and neuroimaging data in neurodegenerative diseases |
|
December 3, 2020 |
Zhai |
Zhiwei |
Automatic Quantitative Analysis of Pulmonary Vessels in CT: Methods and Applications |
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March 10, 2020 |
Cao |
Qing |
Automated analysis approaches for coronary CT angiography : labeling, quality assessment and plaque thickness comparison |
|
January 21, 2020 |
Aizenberg |
Evgeni |
Computer-aided techniques for assessment of MRI-detected inflammation for early identification of inflammatory arthritis |
|
March 14, 2019 |
Li |
Yingguang |
Fusion of X-ray angiography and Optical Coherence Tomography for coronary flow simulation |
|
October 9, 2018 |
Liu |
Shengan (Nancy) |
Optical coherence Tomography for Coronary Artery Disease: Analysis and Applications |
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September 4, 2018 |
Gao |
Xinpei |
Automated planning approaches for non-invasive cardiac valve replacement procedures from CT angiography |
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November 7, 2017 |
Qiao |
Yuchuan |
Fast optimization methods for image registration in adaptive radiation therapy |
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November 1, 2017 |
Hassan |
Walid |
Data analysis for mass spectrometry imaging: methods and applications |
|
January 18, 2017 |
Elbaz |
Mohammed S.M. |
Three-dimensional in-vivo intra-cardiac vortex flow from 4D Flow MRI : quantification, automatic identification and association with energy loss |
|
September 6, 2016 |
Wang |
Ancong |
Automatic quantification of intravascular optical coherence tomography |
|
November 13, 2014 |