| Multi-instance multi-label learning for multi-class classification of whole slide breast histopathology images C Mercan, S Aksoy, E Mercan, LG Shapiro, DL Weaver, JG Elmore IEEE transactions on medical imaging 37 (1), 316-325, 2017 | 131 | 2017 |
| 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 | 31 | 2020 |
| From patch-level to ROI-level deep feature representations for breast histopathology classification C Mercan, S Aksoy, E Mercan, LG Shapiro, DL Weaver, JG Elmore Medical Imaging 2019: Digital Pathology 10956, 86-93, 2019 | 21 | 2019 |
| Multi-instance multi-label learning for whole slide breast histopathology C Mercan, E Mercan, S Aksoy, LG Shapiro, DL Weaver, JG Elmore Medical Imaging 2016: Digital Pathology 9791, 48-58, 2016 | 21 | 2016 |
| Deep feature representations for variable-sized regions of interest in breast histopathology C Mercan, B Aygunes, S Aksoy, E Mercan, LG Shapiro, DL Weaver, ... IEEE journal of biomedical and health informatics 25 (6), 2041-2049, 2020 | 17 | 2020 |
| Quality control of whole-slide images through multi-class semantic segmentation of artifacts G Smit, F Ciompi, M Cigéhn, A Bodén, J Van Der Laak, C Mercan Medical Imaging with Deep Learning, 2021 | 12 | 2021 |
| 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 |
| From point annotations to epithelial cell detection in breast cancer histopathology using RetinaNet C Mercan, M Balkenhol, J van der Laak, F Ciompi | 4 | 2019 |
| PEN: Multi-class PseudoEdgeNet for PD-L1 assessment J Vermazeren, L van Eekelen, LD Meesters, M Looijen-Salamon, S Vos, ... Medical Imaging with Deep Learning, 2021 | 1 | 2021 |
| Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer C Mercan, M Balkenhol, R Salgado, M Sherman, P Vielh, W Vreuls, ... arXiv preprint arXiv:2012.04974, 2020 | 1 | 2020 |
| Deep feature representations and multi-instance multi-label learning of whole slide breast histopathology images C Mercan PQDT-Global, 2019 | 1 | 2019 |
| 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 |
| Grading nuclear pleomorphism in breast cancer using deep learning C Mercan, M Balkenhol, J van der Laak, F Ciompi VIRCHOWS ARCHIV 477, S37-S37, 2020 | | 2020 |
| Deep Feature Representations and Multi-Instance Multi-Label Learning of Whole Slide Breast Histopathology Images/Tüm Slayt Meme Histopatoloji Görüntülerinin Derin Öznitelik … C Mercan Bilkent Universitesi (Turkey), 2019 | | 2019 |
| Iterative Estimation of Robust Gaussian Mixture Models in Heterogeneous Data Sets C Mercan PQDT-Global, 2014 | | 2014 |
Francesco CiompiRadboud University Medical Center, NijmegenVerified email at radboudumc.nl
