Kersten Petersen
Kersten Petersen
HeartFlow Inc
Verified email at heartflow.com
Title
Cited by
Cited by
Year
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
A Prasoon, K Petersen, C Igel, F Lauze, E Dam, M Nielsen
International conference on medical image computing and computer-assisted …, 2013
4912013
Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring
M Kallenberg, K Petersen, M Nielsen, AY Ng, P Diao, C Igel, CM Vachon, ...
IEEE transactions on medical imaging 35 (5), 1322-1331, 2016
2682016
Breast tissue segmentation and mammographic risk scoring using deep learning
K Petersen, M Nielsen, P Diao, N Karssemeijer, M Lillholm
International workshop on digital mammography, 88-94, 2014
482014
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case–control study
RR Winkel, M von Euler-Chelpin, M Nielsen, K Petersen, M Lillholm, ...
BMC cancer 16 (1), 414, 2016
222016
Breast density scoring with multiscale denoising autoencoders
K Petersen, K Chernoff, M Nielsen, AY Ng
Proceedings Sparsity Techniques in Medical Imaging, 2012
182012
Fast generalized belief propagation for MAP estimation on 2D and 3D grid-like markov random fields
K Petersen, J Fehr, H Burkhardt
Joint Pattern Recognition Symposium, 41-50, 2008
142008
A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models
P Mysling, K Petersen, M Nielsen, M Lillholm
Machine vision and applications 24 (7), 1421-1434, 2013
92013
A static SMC sampler on shapes for the automated segmentation of aortic calcifications
K Petersen, M Nielsen, SS Brandt
European Conference on Computer Vision, 666-679, 2010
82010
A bayesian framework for automated cardiovascular risk scoring on standard lumbar radiographs
K Petersen, M Ganz, P Mysling, M Nielsen, L Lillemark, A Crimi, ...
IEEE transactions on medical imaging 31 (3), 663-676, 2012
72012
Conditional point distribution models
K Petersen, M Nielsen, SS Brandt
International MICCAI Workshop on Medical Computer Vision, 1-10, 2010
42010
Assessing breast cancer masking risk with automated texture analysis in full field digital mammography
MGJ Kallenberg, M Lillholm, P Diao, K Petersen, K Holland, ...
101st Scientific Assembly and Annual Meeting of the Radiological Society of …, 2015
32015
Automatic segmentation of vertebrae from radiographs: A sample-driven active shape model approach
P Mysling, K Petersen, M Nielsen, M Lillholm
International Workshop on Machine Learning in Medical Imaging, 10-17, 2011
32011
Automated texture scoring for assessing breast cancer masking risk in full field digital mammography
MGJ Kallenberg, K Petersen, M Lillholm, DR Jørgensen, P Diao, ...
ECR 2015-European Congress of Radiology, 2015
12015
351 Fully Automatic Estimation of Film-based Breast Percentage Density Separate Out Postmenopausal Hormone Replacement Treatment Effects as Well as Expert's Estimation
K Petersen, K Chernoff, G Karemore, C Christiansen, M Nielsen
European Journal of Cancer 48, S145, 2012
2012
Registration of Images With Varying Topology Using Embedded Maps....... X. Li, X. Long, P. Laurienti, and C. Wyatt 749 Automatic Assessment of Macular Edema From Color Retinal …
K Petersen, M Ganz, P Mysling, M Nielsen, L Lillemark, A Crimi, ...
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Articles 1–15