| Deep learning-based classification of mesothelioma improves prediction of patient outcome P Courtiol, C Maussion, M Moarii, E Pronier, S Pilcer, M Sefta, ... Nature medicine 25 (10), 1519-1525, 2019 | 441 | 2019 |
| Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer J Ogier du Terrail, A Leopold, C Joly, C Béguier, M Andreux, C Maussion, ... Nature medicine 29 (1), 135-146, 2023 | 76* | 2023 |
| Comprehensive molecular and pathologic evaluation of transitional mesothelioma assisted by deep learning approach: a multi-institutional study of the International Mesothelioma … FG Salle, N Le Stang, F Tirode, P Courtiol, AG Nicholson, MS Tsao, ... Journal of thoracic oncology 15 (6), 1037-1053, 2020 | 51 | 2020 |
| Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity L Mangiante, N Alcala, A Sexton-Oates, A Di Genova, A Gonzalez-Perez, ... Nature Genetics 55 (4), 607-618, 2023 | 24* | 2023 |
| Systems and methods for image preprocessing P Courtiol, O Moindrot, C Maussion, C Saillard, B Schmauch, G Wainrib US Patent 11,562,585, 2023 | 9 | 2023 |
| An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data K Schutte, F Brulport, S Harguem-Zayani, JB Schiratti, R Ghermi, ... European Journal of Cancer 174, 90-98, 2022 | 7 | 2022 |
| Systems and methods for mesothelioma feature detection and enhanced prognosis or response to treatment G Wainrib, T Clozel, P Courtiol, C Maussion, JY Blay, FG Sallé US Patent 11,544,851, 2023 | 2 | 2023 |
| Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor Y Fu, M Karanian, R Perret, A Camara, F Le Loarer, M Jean-Denis, ... Npj Precision Oncology 7 (1), 71, 2023 | 1 | 2023 |
| 623MO Machine Learning-based prediction of germinal center, MYC/BCL2 double protein expressor status, and MYC rearrangement from whole slide images in DLBCL patients C Syrykh, JB Schiratti, E Brion, C Joubert, M Baia, L Marlot, C Maussion, ... Annals of Oncology 33, S829, 2022 | 1 | 2022 |
| Collaborative federated learning behind hospitals’ firewalls for predicting histological complete response to neoadjuvant chemotherapy in triple-negative breast cancer. J Ogier du Terrail, A Leopold, C Joly, M Andreux, C Maussion, ... Journal of Clinical Oncology 40 (16_suppl), 590-590, 2022 | 1 | 2022 |
| Anytime Exact Belief Propagation GA Ferreira, Q Bertrand, C Maussion, RS Braz arXiv preprint arXiv:1707.08704, 2017 | 1 | 2017 |
| Abstract PO2-07-05: Deep learning model for automated quantification of HER2 expression in invasive breast cancers from immunohistochemical whole slide images PA Bannier, L Herpin, R Dubois, L Van Praet, C Maussion, E Amonoo, ... Cancer Research 84 (9_Supplement), PO2-07-05-PO2-07-05, 2024 | | 2024 |
| Deep learning uncovers morphological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients B Schmauch, V Cabeli, O Darwiche-Domingues, JE Le Douget, A Hardy, ... Cancer Research 84 (6_Supplement), 7377-7377, 2024 | | 2024 |
| Histology-based prognosis prediction using deep learning outperforms and is independent of the MGMT methylation status in patients with glioblastoma L Fidon, C Thiriez, A Grimaldi, OD Domingues, C Maussion, C Hoffmann Cancer Research 84 (6_Supplement), 7395-7395, 2024 | | 2024 |
| Predicting tumor evolution from digital histology using AI CE Spencer, A Camara, A Riou, L Au, JI Lopez, Z Tippu, C Maussion, ... Cancer Research 84 (6_Supplement), 4298-4298, 2024 | | 2024 |
| Systems and methods for image preprocessing P Courtiol, O Moindrot, C Maussion, C Saillard, B Schmauch, G Wainrib US Patent App. 18/100,543, 2023 | | 2023 |
| 2274P Deep learning-based prediction of pathologic complete response to neoadjuvant therapy in breast cancer using H&E images and RNA-Seq in the IMMUcan study C Esposito, AJ Garcia, M Rediti, N Penel, J Oliveira, JC Goeminne, ... Annals of Oncology 34, S1167, 2023 | | 2023 |
| 1955P Distinguishing lipomas from atypical lipomatous tumors/well differentiated liposarcomas in histology slides using deep learning M Karanian, A Camara, J Klein, T Marchand, C Maussion, V Rousseau, ... Annals of Oncology 34, S1047, 2023 | | 2023 |
| Systems and methods for mesothelioma feature detection and enhanced prognosis or response to treatment G Wainrib, T Clozel, P Courtiol, C Maussion, JY Blay, FG SALLE US Patent App. 18/091,988, 2023 | | 2023 |
| Machine learning-based multimodal prediction of prognosis in patients with resected intrahepatic cholangiocarcinoma. B Schmauch, E Brion, V Ducret, N Nasar, S McIntyre, P Sin-Chan, ... Journal of Clinical Oncology 41 (16_suppl), 4121-4121, 2023 | | 2023 |
