Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Kersten Petersen

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
European Heart Journal. Case Reports|April 23, 2024
Artificial intelligence-powered insights into high-risk, non-obstructive coronary atherosclerosis: a case reportAndrea Provera, Daniele Andreini, Kersten Petersen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
IEEE Transactions on Medical Imaging|March 26, 2019
TeTrIS: Template Transformer Networks for Image Segmentation With Shape PriorsMatthew Chung Hai Lee, Kersten Petersen, Nick Pawlowski, et al.
IEEE Transactions on Medical Imaging|November 10, 2011
A Bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographsKersten Petersen, Melanie Ganz, Peter Mysling, et al.
Medical Image Analysis|February 27, 2022
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networksMatthew Sinclair, Andreas Schuh, Karl Hahn, et al.
BMC Cancer|July 9, 2016
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control studyRikke Rass Winkel, My von Euler-Chelpin, Mads Nielsen, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
IEEE Transactions on Medical Imaging|October 7, 2024
Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path OptimizationKarim Kadry, Max L Olender, Andreas Schuh, et al.
Frontiers in Cardiovascular Medicine|April 9, 2026
Biomechanical index for predicting the risk of acute coronary syndromeMichael J Johnson, Michael R A Abdelmalik, Gilwoo Choi, et al.
European Heart Journal. Cardiovascular Imaging|May 3, 2024
Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE studyJagat Narula, Thomas D Stuckey, Gaku Nakazawa, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
European Heart Journal. Case Reports|April 23, 2024
Artificial intelligence-powered insights into high-risk, non-obstructive coronary atherosclerosis: a case reportAndrea Provera, Daniele Andreini, Kersten Petersen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
IEEE Transactions on Medical Imaging|March 26, 2019
TeTrIS: Template Transformer Networks for Image Segmentation With Shape PriorsMatthew Chung Hai Lee, Kersten Petersen, Nick Pawlowski, et al.
IEEE Transactions on Medical Imaging|November 10, 2011
A Bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographsKersten Petersen, Melanie Ganz, Peter Mysling, et al.
Medical Image Analysis|February 27, 2022
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networksMatthew Sinclair, Andreas Schuh, Karl Hahn, et al.
BMC Cancer|July 9, 2016
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control studyRikke Rass Winkel, My von Euler-Chelpin, Mads Nielsen, et al.
IEEE Transactions on Medical Imaging|February 26, 2016
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, et al.
IEEE Transactions on Medical Imaging|October 7, 2024
Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path OptimizationKarim Kadry, Max L Olender, Andreas Schuh, et al.
Frontiers in Cardiovascular Medicine|April 9, 2026
Biomechanical index for predicting the risk of acute coronary syndromeMichael J Johnson, Michael R A Abdelmalik, Gilwoo Choi, et al.
European Heart Journal. Cardiovascular Imaging|May 3, 2024
Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE studyJagat Narula, Thomas D Stuckey, Gaku Nakazawa, et al.
Pageof 2