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Kersten Petersen
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2020 – today
- 2024
- [c7]Karim Kadry
, Shreya Gupta, Jonas Sogbadji, Michiel Schaap
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control. ECCV (78) 2024: 396-412 - [i3]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 abs/2407.15631 (2024) - 2023
- [i2]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 abs/2301.00060 (2023) - 2022
- [j5]Matthew Sinclair
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks. Medical Image Anal. 78: 102383 (2022) - 2020
- [i1]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 abs/2012.10533 (2020)
2010 – 2019
- 2019
- [j4]Matthew C. H. Lee
TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors. IEEE Trans. Medical Imaging 38(11): 2596-2606 (2019) - 2016
- [j3]Michiel Kallenberg
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring. IEEE Trans. Medical Imaging 35(5): 1322-1331 (2016) - 2014
- [c6]Kersten Petersen, Mads Nielsen, Pengfei Diao, Nico Karssemeijer, Martin Lillholm:
Breast Tissue Segmentation and Mammographic Risk Scoring Using Deep Learning. Digital Mammography / IWDM 2014: 88-94 - 2013
- [j2]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): 1421-1434 (2013) - [c5]Adhish Prasoon, Kersten Petersen, Christian Igel, François Lauze
Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. MICCAI (2) 2013: 246-253 - 2012
- [j1]Kersten Petersen, Melanie Ganz
A Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs. IEEE Trans. Medical Imaging 31(3): 663-676 (2012) - 2011
- [c4]Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. MLMI 2011: 10-17 - 2010
- [c3]Kersten Petersen, Mads Nielsen, Sami S. Brandt
A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications. ECCV (4) 2010: 666-679 - [c2]Kersten Petersen, Mads Nielsen, Sami S. Brandt
Conditional Point Distribution Models. MCV 2010: 1-10
2000 – 2009
- 2008
- [c1]Kersten Petersen, Janis Fehr
Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields. DAGM-Symposium 2008: 41-50
Coauthor Index
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