| 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 | 477 | 2017 |
| 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 | 47 | 2016 |
| 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 | 46 | 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 | 28 | 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 | 28 | 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 | 24 | 2018 |
| 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, 105810Z, 2018 | 7 | 2018 |
| 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 | 6 | 2017 |
| Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... | 4 | 2018 |
| 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, 1-15, 2019 | 3 | 2019 |
| 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 | 2 | 2019 |
| A generic nuclei detection method for histopathological breast images H Kost, A Homeyer, P Bult, MCA Balkenhol, JAWM van der Laak, ... Medical Imaging 2016: Digital Pathology 9791, 97911E, 2016 | 2 | 2016 |
| Deep learning enables fully automated mitotic density assessment in breast cancer histopathology M Balkenhol, P Bult, D Tellez, W Vreuls, P Clahsen, F Ciompi, ... VIRCHOWS ARCHIV 475, S58-S59, 2019 | | 2019 |
| Deep learning assisted mitotic counting for breast cancer MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ... Laboratory Investigation, 1, 2019 | | 2019 |
| From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology using RetinaNet C Mercan, M Balkenhol, J van der Laak, F Ciompi | | 2019 |
| Prognostic value of clinicopathological features in a large cohort of triple negative breast cancer M Balkenhol, W Vreuls, C Wauters, S Mol, J van der Laak, P Bult VIRCHOWS ARCHIV 473, S199-S199, 2018 | | 2018 |
| Deep Learning Based Algorithms Significantly Aid Breast Cancer Histopathology J van der Laak, BE Bejnordi, DT Martin, P Bandi, MCA Balkenhol, P Bult, ... JOURNAL OF PATHOLOGY 243, S4-S4, 2017 | | 2017 |
| Digital pattern recognition can aid H&E based breast histopathological diagnosis M Balkenhol, BE Bejnordi, R Holland, M Hermsen, N Timofeeva, ... EUROPEAN JOURNAL OF CANCER 57, S145-S146, 2016 | | 2016 |
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Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
