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Christian Abbet
Christian Abbet
LTS5 – Signal Processing Laboratory 5 - EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
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
552020
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
252018
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
242021
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
122022
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, ...
Medical Imaging with Deep Learning, 2021
82021
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
62023
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
52022
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
12024
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, ...
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