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Nico Karssemeijer
Nico Karssemeijer
Professor of Computer Aided Diagnosis, Radboud University Nijmegen
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
21662017
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
8842017
Computer-aided detection of prostate cancer in MRI
G Litjens, O Debats, J Barentsz, N Karssemeijer, H Huisman
IEEE transactions on medical imaging 33 (5), 1083-1092, 2014
4332014
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
4322016
Detection of stellate distortions in mammograms
N Karssemeijer, GM te Brake
IEEE Transactions on Medical Imaging 15 (5), 611-619, 1996
3991996
Automated classification of parenchymal patterns in mammograms
N Karssemeijer
Physics in medicine & biology 43 (2), 365, 1998
3661998
Supplemental MRI screening for women with extremely dense breast tissue
MF Bakker, SV de Lange, RM Pijnappel, RM Mann, PHM Peeters, ...
New England Journal of Medicine 381 (22), 2091-2102, 2019
3312019
Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation
M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
2882017
Volumetric breast density estimation from full-field digital mammograms
S van Engeland, PR Snoeren, H Huisman, C Boetes, N Karssemeijer
IEEE transactions on medical imaging 25 (3), 273-282, 2006
2802006
Robust Breast Composition Measurement - VolparaTM
R Highnam, SM Brady, MJ Yaffe, N Karssemeijer, J Harvey
Digital Mammography: 10th International Workshop, IWDM 2010, Girona …, 2010
2622010
Staging urinary bladder cancer after transurethral biopsy: value of fast dynamic contrast-enhanced MR imaging.
JO Barentsz, GJ Jager, PB Van Vierzen, JA Witjes, SP Strijk, H Peters, ...
Radiology 201 (1), 185-193, 1996
2601996
Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities
M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ...
Scientific Reports 7 (1), 1-12, 2017
2412017
Stain specific standardization of whole-slide histopathological images
BE Bejnordi, G Litjens, N Timofeeva, I Otte-Höller, A Homeyer, ...
IEEE transactions on medical imaging 35 (2), 404-415, 2015
2352015
A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography
S Timp, N Karssemeijer
Medical physics 31 (5), 958-971, 2004
2352004
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
ML Giger, N Karssemeijer, JA Schnabel
Annual review of biomedical engineering 15, 327-357, 2013
2302013
Adaptive noise equalization and recognition of microcalcification clusters in mammograms
N Karssemeijer
International Journal of Pattern Recognition and Artificial Intelligence 7 …, 1993
2141993
Using deep learning to segment breast and fibroglandular tissue in MRI volumes
MU Dalmış, G Litjens, K Holland, A Setio, R Mann, N Karssemeijer, ...
Medical physics 44 (2), 533-546, 2017
1912017
Whole-slide mitosis detection in H&E breast histology using PHH3 as a reference to train distilled stain-invariant convolutional networks
D Tellez, M Balkenhol, I Otte-Höller, R van de Loo, R Vogels, P Bult, ...
IEEE transactions on medical imaging 37 (9), 2126-2136, 2018
1902018
A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging
RM Mann, RD Mus, J van Zelst, C Geppert, N Karssemeijer, B Platel
Investigative radiology 49 (9), 579-585, 2014
1882014
Single and multiscale detection of masses in digital mammograms
GM Te Brake, N Karssemeijer
IEEE transactions on medical imaging 18 (7), 628-639, 1999
1791999
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