Kersten Petersen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 6

Top Topics

Computed Tomography

Rigid Registration

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Digital Mammography / IWDM

Publications

Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control. CoRR (2024)
Karim Kadry, Abhishek Karmakar, Andreas Schuh, Kersten Petersen, Michiel Schaap, David Marlevi, Charles A. Taylor, Elazer R. Edelman, Farhad Rikhtegar Nezami
Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. CoRR (2023)
Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Anal. 78 (2022)
Matthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks. CoRR (2020)
Matthew C. H. Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap
TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. IEEE Trans. Medical Imaging 38 (11) (2019)
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
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35 (5) (2016)
Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM (2014)
Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) (2013)
Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models. Mach. Vis. Appl. 24 (7) (2013)
Kersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging 31 (3) (2012)
Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI (2011)
Kersten Petersen, Mads Nielsen, Sami S. Brandt
A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. ECCV (4) (2010)
Kersten Petersen, Mads Nielsen, Sami S. Brandt
Conditional Point Distribution Models. MCV (2010)
Kersten Petersen, Janis Fehr, Hans Burkhardt
Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields. DAGM-Symposium (2008)