| CustOmics: A versatile deep-learning based strategy for multi-omics integration H Benkirane, Y Pradat, S Michiels, PH Cournède PLOS Computational Biology 19 (3), e1010921, 2023 | 13 | 2023 |
| Hyper-AdaC: adaptive clustering-based hypergraph representation of whole slide images for survival analysis H Benkirane, M Vakalopoulou, S Christodoulidis, IJ Garberis, S Michiels, ... Machine Learning for Health, 405-418, 2022 | 6 | 2022 |
| Multimodal CustOmics: A Unified and Interpretable Multi-Task Deep Learning Framework for Multimodal Integrative Data Analysis in Oncology H Benkirane, M Vakalopoulou, D Planchard, J Adam, K Olaussen, ... bioRxiv, 2024.01. 20.576363, 2024 | | 2024 |
| Counterfactual Analysis for Digital Histopathology Slides Using Human Interpretable Features H Benkirane, M Vakalopoulou, S Michiels, PH Cournède, W Lotter Medical Imaging with Deep Learning, 2024 | | 2024 |
| Réseaux de neurones et intégration multi-omique pour la survie: quelles stratégies pour un meilleur apprentissage de représentation? H Benkirane, S Michiels, P Cournède Revue d'Épidémiologie et de Santé Publique 70, S94-S95, 2022 | | 2022 |
