Divide-and-rule: self-supervised learning for survival analysis in colorectal cancer C Abbet, I Zlobec, B Bozorgtabar, JP Thiran Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 64 | 2020 |
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection C Abbet, L Studer, A Fischer, H Dawson, I Zlobec, B Bozorgtabar, ... arXiv preprint arXiv:2108.09178, 2021 | 30 | 2021 |
Churn intent detection in multilingual chatbot conversations and social media C Abbet, M M'hamdi, A Giannakopoulos, R West, A Hossmann, ... arXiv preprint arXiv:1808.08432, 2018 | 26 | 2018 |
Pathologist computer-aided diagnostic scoring of tumor cell fraction: a Swiss national study AL Frei, R Oberson, E Baumann, A Perren, R Grobholz, A Lugli, ... Modern Pathology 36 (12), 100335, 2023 | 16 | 2023 |
Impact of scanner variability on lymph node segmentation in computational pathology A Khan, A Janowczyk, F Müller, A Blank, HG Nguyen, C Abbet, L Studer, ... Journal of pathology informatics 13, 100127, 2022 | 15 | 2022 |
Self-rule to adapt: Learning generalized features from sparsely-labeled data using unsupervised domain adaptation for colorectal cancer tissue phenotyping C Abbet, L Studer, A Fischer, H Dawson, I Zlobec, B Bozorgtabar, ... Proceedings of the Medical Imaging with Deep Learning (MIDL 2021), 7‑9 July …, 2021 | 14 | 2021 |
Toward automatic tumor-stroma ratio assessment for survival analysis in colorectal cancer C Abbet, L Studer, I Zlobec, JP Thiran Medical Imaging with Deep Learning, 2022 | 5 | 2022 |
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime T Stegmüller, C Abbet, B Bozorgtabar, H Clarke, P Petignat, P Vassilakos, ... Computers in Biology and Medicine 169, 107809, 2024 | 3 | 2024 |
Self-Supervised Learning for Patient Stratification and Survival Analysis in Computational Pathology: An Application to Colorectal Cancer CR Abbet EPFL, 2023 | | 2023 |
Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting T Stegmüller, C Abbet, B Bozorgtabar, H Clarke, P Petignat, P Vassilakos, ... CoRR, 2023 | | 2023 |
Self-rule to multi adapt automates the tumor-stroma assessment in colorectal cancer C Abbet, L Studer, JP Thiran, I Zlobec Proceedings of the ECDP 2022 18th European Congress on Digital Pathology, 15 …, 2022 | | 2022 |
Beekeeping-artificial neural networks to fight varroa A Bugnon, R Vinals, C Abbet, G Chevassus, M Bohnenblust, MS Rad, ... Agrarforschung Schweiz 12 (5), 102-108, 2021 | | 2021 |
Apiculture–des réseaux de neurones artificiels pour lutter contre le varroa A Bugnon, R Viñals, C Abbet, G Chevassus, M Bohnenblust, MS Rad, ... | | |