| 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 | 1018 | 2017 |
| Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ... Medical image analysis 54, 111-121, 2019 | 82 | 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, 12, 2018 | 69 | 2018 |
| Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology D Tellez, G Litjens, P Bandi, W Bulten, JM Bokhorst, F Ciompi, ... Medical Image Analysis 58, 101544, 2019 | 51 | 2019 |
| 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, 2019 | 17 | 2019 |
| 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 | 16 | 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 | 13 | 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 42 (4), 555-569, 2019 | 10 | 2019 |
| Predicting arousal with machine learning of EEG signals T Nagy, D Tellez, Á Divák, E Lógó, M Köles, B Hámornik 2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 137-140, 2014 | 9 | 2014 |
| Virtual staining for mitosis detection in Breast Histopathology C Mercan, G Mooij, D Tellez, J Lotz, N Weiss, M van Gerven, F Ciompi 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1770-1774, 2020 | 3 | 2020 |
| Gigapixel whole-slide image classification using unsupervised image compression and contrastive training D Tellez, J van der Laak, F Ciompi | 2 | 2018 |
| Deep learning enables fully automated mitotic density assessment in breast cancer histopathology M Balkenhol, P Bult, D Tellez, W Vreuls, P Clahsen, F Ciompi, ... European Journal of Cancer 138, S86, 2020 | | 2020 |
| Extending Unsupervised Neural Image Compression With Supervised Multitask Learning D Tellez, D Höppener, C Verhoef, D Grünhagen, P Nierop, M Drozdzal, ... Medical Imaging with Deep Learning, 770-783, 2020 | | 2020 |
| Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval M Agosti, S Marchesin, G Silvello ACM Transactions on Information Systems (TOIS) 38 (4), 1-48, 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 |
