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 | 3106 | 2017 |
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 | 503 | 2019 |
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 | 301 | 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 | 275 | 2018 |
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 43 (2), 567-578, 2019 | 253 | 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 | 98 | 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 | 63 | 2018 |
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 | 34 | 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 | 29 | 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 | 24 | 2019 |
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images W Aswolinskiy, D Tellez, G Raya, L van der Woude, M Looijen-Salamon, ... Medical Imaging 2021: Digital Pathology 11603, 1160304, 2021 | 16 | 2021 |
Gigapixel whole-slide image classification using unsupervised image compression and contrastive training D Tellez, J van der Laak, F Ciompi | 15 | 2018 |
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 | 11 | 2014 |
Stainlib: a python library for augmentation and normalization of histopathology H&E images S Otálora, N Marini, D Podareanu, R Hekster, D Tellez, J Van Der Laak, ... BioRxiv, 2022.05. 17.492245, 2022 | 9 | 2022 |
Prognostic value of deep learning based mitotic count in hormonal receptor-and HER2-positive breast cancer M Balkenhol, C Mercan, L Tessier, D Tellez, R Salgado, H Joensuu, S Loi, ... | | 2023 |
The prognostic value of deep learning based mitotic count for breast cancer molecular subtypes M Balkenhol, C Mercan, L Tessier, D Tellez, A Niendorf, A Wegscheider, ... VIRCHOWS ARCHIV 481 (SUPPL 1), S57-S57, 2022 | | 2022 |
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 |
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 |