Michiel G.J. Kallenberg
Michiel G.J. Kallenberg
Laboratory of Geo-information Science and Remote Sensing, Wageningen University
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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
Volumetric breast density estimation from full-field digital mammograms: a validation study
A Gubern-Merida, M Kallenberg, B Platel, RM Mann, R Marti, ...
PloS one 9 (1), e85952, 2014
Breast segmentation and density estimation in breast MRI: a fully automatic framework
A Gubern-Mérida, M Kallenberg, RM Mann, R Marti, N Karssemeijer
IEEE journal of biomedical and health informatics 19 (1), 349-357, 2014
Volumetric Breast Density from Full-Field Digital Mammograms and Its Association with Breast Cancer Risk Factors: A Comparison with a Threshold MethodVolumetric Measurement of …
M Lokate, MGJ Kallenberg, N Karssemeijer, MAAJ Van den Bosch, ...
Cancer epidemiology, biomarkers & prevention 19 (12), 3096-3105, 2010
Automatic breast density segmentation: an integration of different approaches
MGJ Kallenberg, M Lokate, CH Van Gils, N Karssemeijer
Physics in Medicine & Biology 56 (9), 2715, 2011
Segmentation of the pectoral muscle in breast MRI using atlas-based approaches
A Gubern-Mérida, M Kallenberg, R Martí, N Karssemeijer
International conference on medical image computing and computer-assisted …, 2012
Effect of compression paddle tilt correction on volumetric breast density estimation
MGJ Kallenberg, CH van Gils, M Lokate, GJ den Heeten, N Karssemeijer
Physics in Medicine & Biology 57 (16), 5155, 2012
The combined effect of mammographic texture and density on breast cancer risk: a cohort study
JOP Wanders, CH van Gils, N Karssemeijer, K Holland, M Kallenberg, ...
Breast Cancer Research 20 (1), 1-10, 2018
Auditory selective attention as a method for a brain computer interface
M Kallenberg, P Desain, S Gielen
Nijmegen CNS 2 (1), 1-16, 2006
Computer-aided detection of masses in full-field digital mammography using screen-film mammograms for training
M Kallenberg, N Karssemeijer
Physics in Medicine & Biology 53 (23), 6879, 2008
Compression paddle tilt correction in full-field digital mammograms
MGJ Kallenberg, N Karssemeijer
Physics in Medicine & Biology 57 (3), 703, 2012
Fully automatic fibroglandular tissue segmentation in breast MRI: atlas-based approach
A Gubern-Mérida, M Kallenberg, R Marti, N Karssemeijer
MICCAI Workshop: breast image analysis, 73-80, 2011
Multi-class probabilistic atlas-based segmentation method in breast MRI
A Gubern-Mérida, M Kallenberg, R Martí, N Karssemeijer
Iberian Conference on Pattern Recognition and Image Analysis, 660-667, 2011
Computer aided detection of breast masses in mammography using support vector machine classification
J Lesniak, R Hupse, M Kallenberg, M Samulski, R Blanc, N Karssemeijer, ...
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 476-482, 2011
Breast segmentation in MRI: quantitative evaluation of three methods
A Gubern-Mérida, L Wang, M Kallenberg, R Martí, HK Hahn, ...
Medical Imaging 2013: Image Processing 8669, 950-956, 2013
Computer analysis of mammograms
M Kallenberg, M Nielsen, M Lillholm
US Patent App. 15/054,839, 2017
Brain-Computer Interfacing using frequency tagged stimuli
P Desain, AMG Hupse, MGJ Kallenberg, BJ De Kruif, RS Schaefer
Graz: Verlag der TU Graz, 2006
Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study
RR Winkel, M von Euler-Chelpin, E Lynge, P Diao, M Lillholm, ...
Cancer Epidemiology 49, 53-60, 2017
A deep learning method for volumetric breast density estimation from processed full field digital mammograms
MA Birhanu, N Karssemeijer, A Gubern-Mérida, M Kallenberg
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 94-100, 2019
Stability of volumetric tissue composition measured in serial screening mammograms
K Holland, M Kallenberg, R Mann, C Gils, N Karssemeijer
International Workshop on Digital Mammography, 239-244, 2014
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