| Deep learning identifies morphological patterns of homologous recombination deficiency in luminal breast cancers from whole slide images T Lazard, G Bataillon, P Naylor, T Popova, FC Bidard, D Stoppa-Lyonnet, ... Cell Reports Medicine, 100872, 2022 | 31 | 2022 |
| Giga-ssl: Self-supervised learning for gigapixel images T Lazard, M Lerousseau, E Decencière, T Walter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Prediction of treatment response in triple negative breast cancer from whole slide images P Naylor, T Lazard, G Bataillon, M Laé, A Vincent-Salomon, AS Hamy, ... Frontiers in Signal Processing 2, 851809, 2022 | 6* | 2022 |
| Automatic Grading of Cervical Biopsies by Combining Full and Self-supervision M Lubrano, T Lazard, G Balezo, Y Bellahsen-Harrar, C Badoual, ... Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | 3* | 2023 |
| Applying deep learning to melanocyte counting on fluorescent trp1 labelled images of in vitro skin model T Lazard, S Blusseau, S Velasco-Forero, E Decencière, V Flouret, ... Image Analysis & Stereology 41 (3), 171–180, 2022 | 3 | 2022 |
| Self-supervised learning to predict intrahepatic cholangiocarcinoma transcriptomic classes on routine histology A Beaufrere, T Lazard, R Nicolle, G Lubuela, J Augustin, M Albuquerque, ... bioRxiv, 2024.01. 15.575652, 2024 | | 2024 |
| Cancer du sein-Utilisation de l’intelligence artificielle pour prédire le statut tumoral relatif à la recombinaison homologue T Lazard, G Bataillon, T Walter, AV Salomon médecine/sciences 39 (12), 926-928, 2023 | | 2023 |
| Analyse d’images histologiques par intelligence artificielle (deep learning) pour l’évaluation pronostique des corticosurrénalomes A Jouinot, F Violon, T Lazard, B Terris, M Sibony, J Bertherat, G Assie, ... Annales d'Endocrinologie 84 (5), 556-557, 2023 | | 2023 |
| Democratizing computational pathology: optimized Whole Slide Image representations for The Cancer Genome Atlas T Lazard, M Lerousseau, S Gardrat, A Vincent-Salomon, MH Stern, ... bioRxiv, 2023.12. 04.569894, 2023 | | 2023 |
| Prediction of Homologous Recombination Deficiency of Breast Carcinomas on Digitalized HE Slides Using Machine and Deep Learning Approaches G Bataillon, A Vincent-Salomon, T Walter, MH Stern, P Naylor, Y Kirova, ... LABORATORY INVESTIGATION 101 (SUPPL 1), 84-85, 2021 | | 2021 |
