| 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 | 2879 | 2017 |
| 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 | 502 | 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 | 347 | 2018 |
| 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 | 251 | 2018 |
| 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 | 207 | 2017 |
| Learning to detect lymphocytes in immunohistochemistry with deep learning Z Swiderska-Chadaj, H Pinckaers, M Van Rijthoven, M Balkenhol, ... Medical image analysis 58, 101547, 2019 | 130 | 2019 |
| HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images M Van Rijthoven, M Balkenhol, K Siliņa, J Van Der Laak, F Ciompi Medical image analysis 68, 101890, 2021 | 126 | 2021 |
| Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, L Egevad, ... Modern Pathology 34 (3), 660-671, 2021 | 117 | 2021 |
| Automated detection of DCIS in whole-slide H&E stained breast histopathology images BE Bejnordi, M Balkenhol, G Litjens, R Holland, P Bult, N Karssemeijer, ... IEEE transactions on medical imaging 35 (9), 2141-2150, 2016 | 104 | 2016 |
| Deep learning assisted mitotic counting for breast cancer MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ... Laboratory investigation 99 (11), 1596-1606, 2019 | 88 | 2019 |
| Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks P Bándi, M Balkenhol, B van Ginneken, J van der Laak, G Litjens PeerJ 7, e8242, 2019 | 59 | 2019 |
| H and E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection D Tellez, M Balkenhol, N Karssemeijer, G Litjens, J van der Laak, ... Medical Imaging 2018: Digital Pathology 10581, 264-270, 2018 | 53 | 2018 |
| Histological subtypes in triple negative breast cancer are associated with specific information on survival MCA Balkenhol, W Vreuls, CAP Wauters, SJJ Mol, JAWM van der Laak, ... Annals of Diagnostic Pathology 46, 151490, 2020 | 33 | 2020 |
| Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer MCA Balkenhol, P Bult, D Tellez, W Vreuls, PC Clahsen, F Ciompi, ... Cellular Oncology 42, 555-569, 2019 | 23 | 2019 |
| Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ... The Breast 56, 78-87, 2021 | 22 | 2021 |
| Interobserver variability in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple-negative invasive breast carcinoma influences the association with … MR Van Bockstal, A François, S Altinay, L Arnould, M Balkenhol, ... Modern Pathology 34 (12), 2130-2140, 2021 | 20 | 2021 |
| Sonographic phenotypes of molecular subtypes of invasive ductal cancer in automated 3-D breast ultrasound JCM van Zelst, M Balkenhol, T Tan, M Rutten, M Imhof-Tas, P Bult, ... Ultrasound in medicine & biology 43 (9), 1820-1828, 2017 | 14 | 2017 |
| Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... Open Review, 2018 | 13 | 2018 |
| Continual learning strategies for cancer-independent detection of lymph node metastases P Bándi, M Balkenhol, M Van Dijk, M Kok, B van Ginneken, ... Medical Image Analysis 85, 102755, 2023 | 11 | 2023 |
| Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer C Mercan, M Balkenhol, R Salgado, M Sherman, P Vielh, W Vreuls, ... NPJ breast cancer 8 (1), 120, 2022 | 11 | 2022 |
Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
