| 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 | 849 | 2017 |
| 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 | 80 | 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 | 61 | 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 | 55 | 2018 |
| 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 | 55 | 2016 |
| 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 | 50 | 2018 |
| Implicit causal models for genome-wide association studies D Tran, DM Blei arXiv preprint arXiv:1710.10742, 2017 | 24 | 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 | 11 | 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, 105810Z, 2018 | 11 | 2018 |
| 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 | 9 | 2019 |
| 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 (4), 555-569, 2019 | 9 | 2019 |
| 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 | 9 | 2017 |
| Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... | 5 | 2018 |
| 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 | 4 | 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 | 3 | 2016 |
| 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, 151490, 2020 | 1 | 2020 |
| 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 arXiv preprint arXiv:2006.12230, 2020 | | 2020 |
| Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists W Bulten, M Balkenhol, JJA Belinga, A Brilhante, A Çakır, X Farré, ... arXiv preprint arXiv:2002.04500, 2020 | | 2020 |
| Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence MCA Balkenhol [Sl: sn], 2020 | | 2020 |
| 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 |
Jeroen van der LaakRadboud University Medical CenterVerified email at radboudumc.nl
