| A survey on deep learning in medical image analysis G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ... Medical image analysis 42, 60-88, 2017 | 9811 | 2017 |
| 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 | 2332 | 2017 |
| Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis G Litjens, CI Sánchez, N Timofeeva, M Hermsen, I Nagtegaal, I Kovacs, ... Scientific reports 6 (1), 1-11, 2016 | 955 | 2016 |
| Skeletal muscle ultrasound: correlation between fibrous tissue and echo intensity S Pillen, RO Tak, MJ Zwarts, MMY Lammens, KN Verrijp, IMP Arts, ... Ultrasound in medicine & biology 35 (3), 443-446, 2009 | 563 | 2009 |
| Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study W Bulten, H Pinckaers, H van Boven, R Vink, T de Bel, B van Ginneken, ... The Lancet Oncology 21 (2), 233-241, 2020 | 392 | 2020 |
| From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ... IEEE transactions on medical imaging 38 (2), 550-560, 2018 | 356 | 2018 |
| Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology D Tellez, G Litjens, P Bándi, W Bulten, JM Bokhorst, F Ciompi, ... Medical image analysis 58, 101544, 2019 | 336 | 2019 |
| 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset G Litjens, P Bandi, B Ehteshami Bejnordi, O Geessink, M Balkenhol, ... GigaScience 7 (6), giy065, 2018 | 265 | 2018 |
| Deep learning in histopathology: the path to the clinic J Van der Laak, G Litjens, F Ciompi Nature medicine 27 (5), 775-784, 2021 | 264 | 2021 |
| 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 | 250 | 2015 |
| Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association E Abels, L Pantanowitz, F Aeffner, MD Zarella, J van der Laak, MM Bui, ... The Journal of pathology 249 (3), 286-294, 2019 | 239 | 2019 |
| Peroxisome proliferator-activated receptor γ activation promotes infiltration of alternatively activated macrophages into adipose tissue R Stienstra, C Duval, S Keshtkar, J van der Laak, S Kersten, M Muller Journal of Biological Chemistry 283 (33), 22620-22627, 2008 | 221 | 2008 |
| Deep learning–based histopathologic assessment of kidney tissue M Hermsen, T de Bel, M Den Boer, EJ Steenbergen, J Kers, S Florquin, ... Journal of the American Society of Nephrology 30 (10), 1968-1979, 2019 | 202 | 2019 |
| 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 | 202 | 2018 |
| The importance of stain normalization in colorectal tissue classification with convolutional networks F Ciompi, O Geessink, BE Bejnordi, GS De Souza, A Baidoshvili, G Litjens, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 188 | 2017 |
| Ki-67 as a prognostic marker in mantle cell lymphoma—consensus guidelines of the pathology panel of the European MCL Network W Klapper, E Hoster, O Determann, I Oschlies, J van der Laak, F Berger, ... Journal of hematopathology 2, 103-111, 2009 | 185 | 2009 |
| 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 | 176 | 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 | 171 | 2018 |
| Neural image compression for gigapixel histopathology image analysis D Tellez, G Litjens, J van der Laak, F Ciompi IEEE transactions on pattern analysis and machine intelligence 43 (2), 567-578, 2019 | 152 | 2019 |
| The effect of Replens® on vaginal cytology in the treatment of postmenopausal atrophy: cytomorphology versus computerised cytometry JAWM Van der Laak, LMT de Bie, H de Leeuw, PCM de Wilde, ... Journal of clinical pathology 55 (6), 446-451, 2002 | 143 | 2002 |
Francesco CiompiRadboud University Medical Center, NijmegenVerified email at radboudumc.nl
