Kersten Petersen - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 13 from 13

2025

Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path OptimizationKarim 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. tmi, 44(2):880-890, February 2025. [doi]

2024

A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal ControlKarim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman. eccv 2025: 396-412 [doi]

2022

Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networksMatthew Sinclair, Andreas Schuh, Karl Hahn, Kersten Petersen, Ying Bai, James Batten, Michiel Schaap, Ben Glocker. mia, 78:102383, 2022. [doi]

2019

TeTrIS: Template Transformer Networks for Image Segmentation With Shape PriorsMatthew C. H. Lee, Kersten Petersen, Nick Pawlowski, Ben Glocker, Michiel Schaap. tmi, 38(11):2596-2606, 2019. [doi]

2016

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringMichiel Kallenberg, Kersten Petersen, Mads Nielsen, Andrew Y. Ng, Pengfei Diao, Christian Igel, Celine M. Vachon, Katharina Holland, Rikke Rass Winkel, Nico Karssemeijer, Martin Lillholm. tmi, 35(5):1322-1331, 2016. [doi]

2014

Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep LearningKersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm. mammo 2014: 88-94 [doi]

2013

A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape modelsPeter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm. mva, 24(7):1421-1434, 2013. [doi]

Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural NetworkAdhish Prasoon, Kersten Petersen, Christian Igel, François Lauze, Erik Dam, Mads Nielsen. miccai 2013: 246-253 [doi]

2012

A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar RadiographsKersten Petersen, Melanie Ganz, Peter Mysling, Mads Nielsen, Lene Lillemark, Alessandro Crimi, Sami S. Brandt. tmi, 31(3):663-676, 2012. [doi]

2011

Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model ApproachPeter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm. miccai 2011: 10-17 [doi]

2010

Conditional Point Distribution ModelsKersten Petersen, Mads Nielsen, Sami S. Brandt. miccai 2011: 1-10 [doi]

A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic CalcificationsKersten Petersen, Mads Nielsen, Sami S. Brandt. eccv 2010: 666-679 [doi]

2008

Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random FieldsKersten Petersen, Janis Fehr, Hans Burkhardt. dagm 2008: 41-50 [doi]

Sign in or sign up to see more results.

runs on WebDSL