| 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 | 3384 | 2017 |
| 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 | 1151 | 2017 |
| 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 | 612 | 2019 |
| 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 | 567 | 2014 |
| 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 | 539 | 2016 |
| 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 | 445 | 2017 |
| Detection of stellate distortions in mammograms N Karssemeijer, GM te Brake IEEE Transactions on Medical Imaging 15 (5), 611-619, 1996 | 408 | 1996 |
| Automated classification of parenchymal patterns in mammograms N Karssemeijer Physics in medicine & biology 43 (2), 365, 1998 | 386 | 1998 |
| 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 | 331 | 2015 |
| Robust Breast Composition Measurement - VolparaTM R Highnam, SM Brady, MJ Yaffe, N Karssemeijer, J Harvey Digital Mammography: 10th International Workshop, IWDM 2010, Girona …, 2010 | 318 | 2010 |
| 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), 5110, 2017 | 309 | 2017 |
| 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 | 300 | 2018 |
| 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 | 298 | 2006 |
| 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 | 273 | 1996 |
| Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer ML Giger, N Karssemeijer, JA Schnabel Annual review of biomedical engineering 15 (1), 327-357, 2013 | 270 | 2013 |
| 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 | 250 | 2017 |
| 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 | 244 | 2014 |
| 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 | 239 | 2004 |
| Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images BE Bejnordi, G Zuidhof, M Balkenhol, M Hermsen, P Bult, B van Ginneken, ... Journal of Medical Imaging 4 (4), 044504-044504, 2017 | 227 | 2017 |
| Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies B Ehteshami Bejnordi, M Mullooly, RM Pfeiffer, S Fan, PM Vacek, ... Modern Pathology 31 (10), 1502-1512, 2018 | 218 | 2018 |
Ritse MannBreast and Interventional Radiologist, RadboudumcVerified email at radboudumc.nl
