Kersten Petersen

According to our database, Kersten Petersen authored at least 13 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

2022

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

2019

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

2016

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

2014

Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning.

Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

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

2011

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach.

Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010

Conditional Point Distribution Models.

Kersten Petersen, Mads Nielsen, Sami S. Brandt

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications.

Kersten Petersen, Mads Nielsen, Sami S. Brandt

Proceedings of the Computer Vision, 2010

2008

Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields.

Kersten Petersen, Janis Fehr, Hans Burkhardt

Proceedings of the Pattern Recognition, 2008