| 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 | 3055 | 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 | 1151 | 2016 |
| 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 | 557 | 2018 |
| 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 | 375 | 2018 |
| 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 | 277 | 2019 |
| 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, 2017 | 217 | 2017 |
| Stain-transforming cycle-consistent generative adversarial networks for improved segmentation of renal histopathology T de Bel, M Hermsen, J Kers, J van der Laak, G Litjens International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018 | 99 | 2018 |
| A multi-scale superpixel classification approach to the detection of regions of interest in whole slide histopathology images BE Bejnordi, G Litjens, M Hermsen, N Karssemeijer, JAWM van der Laak Medical Imaging 2015: Digital Pathology 9420, 99-104, 2015 | 60 | 2015 |
| Automatic segmentation of histopathological slides of renal tissue using deep learning T de Bel, M Hermsen, B Smeets, L Hilbrands, J van der Laak, G Litjens Medical Imaging 2018: Digital Pathology 10581, 285-290, 2018 | 57 | 2018 |
| Evaluation of p16/Ki-67 dual-stained cytology as triage test for high-risk human papillomavirus-positive women RMF Ebisch, J Van Der Horst, M Hermsen, LL Rijstenberg, JEM Vedder, ... Modern Pathology 30 (7), 1021-1031, 2017 | 57 | 2017 |
| Detection of glomeruli in renal pathology by mutual comparison of multiple staining modalities M Temerinac-Ott, G Forestier, J Schmitz, M Hermsen, JH Bräsen, ... Proceedings of the 10th International Symposium on Image and Signal …, 2017 | 50 | 2017 |
| Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review I Girolami, L Pantanowitz, S Marletta, M Hermsen, J van der Laak, ... Journal of Nephrology, 1-8, 2022 | 38 | 2022 |
| Developing image analysis pipelines of whole-slide images: Pre-and post-processing B Smith, M Hermsen, E Lesser, D Ravichandar, W Kremers Journal of Clinical and Translational Science 5 (1), 2021 | 31 | 2021 |
| Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning M Hermsen, V Volk, JH Bräsen, DJ Geijs, W Gwinner, J Kers, J Linmans, ... Laboratory Investigation 101 (8), 970-982, 2021 | 30 | 2021 |
| 3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging T Mertzanidou, JH Hipwell, S Reis, DJ Hawkes, B Ehteshami Bejnordi, ... Medical physics 44 (3), 935-948, 2017 | 26 | 2017 |
| Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies M Hermsen, F Ciompi, A Adefidipe, A Denic, A Dendooven, BH Smith, ... The American Journal of Pathology 192 (10), 1418-1432, 2022 | 19 | 2022 |
| Nasopharyngeal carriage of respiratory pathogens in Warao Amerindians: significant relationship with stunting LM Verhagen, M Hermsen, IA Rivera‐Olivero, MC Sisco, MI de Jonge, ... Tropical Medicine & International Health 22 (4), 407-414, 2017 | 17 | 2017 |
| Structure instance segmentation in renal tissue: a case study on tubular immune cell detection T Bel, M Hermsen, G Litjens, J Laak Computational Pathology and Ophthalmic Medical Image Analysis, 112-119, 2018 | 9 | 2018 |
| Human scattered tubular cells represent a heterogeneous population of glycolytic dedifferentiated proximal tubule cells J Eymael, M van den Broek, L Miesen, VV Monge, BT van den Berge, ... The Journal of Pathology, 2022 | 8 | 2022 |
| Stunting correlates with high salivary and serum antibody levels after 13-valent pneumococcal conjugate vaccination of Venezuelan Amerindian children LM Verhagen, M Hermsen, I Rivera-Olivero, MC Sisco, E Pinelli, ... Vaccine 34 (20), 2312-2320, 2016 | 8 | 2016 |
