Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields. - Kersten Petersen; Janis Fehr; Hans Burkhardt (DAGM-Symposium, 2008)

A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. - Kersten Petersen; Mads Nielsen; Sami S. Brandt (ECCV (4), 2010)

Conditional Point Distribution Models. - Kersten Petersen; Mads Nielsen; Sami S. Brandt (MCV, 2010)

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. - Peter Mysling; Kersten Petersen; Mads Nielsen; Martin Lillholm (MLMI, 2011)

A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. - Kersten Petersen; Melanie Ganz; Peter Mysling; Mads Nielsen; Lene Lillemark; Alessandro Crimi; Sami S. Brandt (IEEE Trans. Medical Imaging, 2012)

Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. - Adhish Prasoon; Kersten Petersen; Christian Igel; François Lauze; Erik Dam; Mads Nielsen (MICCAI (2), 2013)

A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. - Peter Mysling; Kersten Petersen; Mads Nielsen; Martin Lillholm (Mach. Vis. Appl., 2013)

Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. - Kersten Petersen; Mads Nielsen; Pengfei Diao; Nico Karssemeijer; Martin Lillholm (Digital Mammography / IWDM, 2014)

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. - Michiel Kallenberg; Kersten Petersen; Mads Nielsen; Andrew Y. Ng; Pengfei Diao; Christian Igel; Celine M. Vachon; Katharina Holland; Rikke Rass Winkel; Nico Karssemeijer; Martin Lillholm (IEEE Trans. Medical Imaging, 2016)

TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. - Matthew C. H. Lee; Kersten Petersen; Nick Pawlowski; Ben Glocker; Michiel Schaap (IEEE Trans. Medical Imaging, 2019)

Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. - Matthew Sinclair; Andreas Schuh; Karl Hahn; Kersten Petersen; Ying Bai; James Batten; Michiel Schaap; Ben Glocker (Medical Image Anal., 2022)

Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. - Karim Kadry; Abhishek Karmakar; Andreas Schuh; Kersten Petersen; Michiel Schaap; David Marlevi; Charles A. Taylor; Elazer R. Edelman; Farhad Rikhtegar Nezami (CoRR, 2023)

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control. - Karim Kadry; Shreya Gupta; Jonas Sogbadji; Michiel Schaap; Kersten Petersen; Takuya Mizukami; Carlos Collet; Farhad Rikhtegar Nezami; Elazer R. Edelman (ECCV (78), 2024)

Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization. - Karim Kadry; Max L. Olender; Andreas Schuh; Abhishek Karmakar; Kersten Petersen; Michiel Schaap; David Marlevi; Adam UpdePac; Takuya Mizukami; Charles Taylor; Elazer R. Edelman; Farhad Rikhtegar Nezami (IEEE Trans. Medical Imaging, 2025)