| Recent advances in object detection in the age of deep convolutional neural networks S Agarwal, JOD Terrail, F Jurie arXiv preprint arXiv:1809.03193, 2018 | 170 | 2018 |
| Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings J Ogier du Terrail, SS Ayed, E Cyffers, F Grimberg, C He, R Loeb, ... Advances in Neural Information Processing Systems 35, 5315-5334, 2022 | 138 | 2022 |
| Siloed federated learning for multi-centric histopathology datasets M Andreux, JO du Terrail, C Beguier, EW Tramel Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 136 | 2020 |
| 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 | 116 | 2023 |
| Faster RER-CNN: Application to the detection of vehicles in aerial images JO Terrail, F Jurie arXiv preprint arXiv:1809.07628, 2018 | 29 | 2018 |
| On the use of deep neural networks for the detection of small vehicles in ortho-images JO Du Terrail, F Jurie 2017 IEEE International Conference on Image Processing (ICIP), 4212-4216, 2017 | 20 | 2017 |
| Differentially private federated learning for cancer prediction C Beguier, JO Terrail, I Meah, M Andreux, EW Tramel arXiv preprint arXiv:2101.02997, 2021 | 19 | 2021 |
| Collaborative federated learning behind hospitals’ firewalls for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer JO Du Terrail, A Leopold, C Joly, C Beguier, M Andreux, C Maussion, ... medRxiv, 2021.10. 27.21264834, 2021 | 18 | 2021 |
| 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 | 7 | 2023 |
| Securefedyj: a safe feature gaussianization protocol for federated learning T Marchand, B Muzellec, C Béguier, J Ogier du Terrail, M Andreux Advances in Neural Information Processing Systems 35, 36585-36598, 2022 | 7 | 2022 |
| Recent advances in object detection in the age of deep convolutional neural networks. arXiv 2018 S Agarwal, JOD Terrail, F Jurie arXiv preprint arXiv:1809.03193, 0 | 7 | |
| Réseaux de neurones convolutionnels profonds pour la détection de petits véhicules en imagerie aérienne JO Du Terrail Normandie Université, 2018 | 5 | 2018 |
| SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning. T Marchand, R Loeb, U Marteau-Ferey, JO Du Terrail, A Pignet International Conference on Machine Learning, 23886-23914, 2023 | 3 | 2023 |
| Fedeca: A federated external control arm method for causal inference with time-to-event data in distributed settings JO Terrail, Q Klopfenstein, H Li, I Mayer, N Loiseau, M Hallal, M Debouver, ... arXiv preprint arXiv:2311.16984, 2023 | 2 | 2023 |
| 1484O Deep learning predicts patients’ outcome and mutations from H&E slides in gastrointestinal stromal tumor (GIST) A Italiano, Y Fu, M Karanian, R Perret, A Camara, F Le Loarer, ... Annals of Oncology 33, S1225-S1226, 2022 | 1 | 2022 |
| Systems and methods for administrating a federated learning network M Galtier, M Andreux, C Marini, E Tramel, I Djafar, J Du Terrail US Patent App. 18/254,693, 2024 | | 2024 |
| FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings J Ogier du Terrail, Q Klopfenstein, H Li, I Mayer, N Loiseau, M Hallal, ... arXiv e-prints, arXiv: 2311.16984, 2023 | | 2023 |
| Deep learning predicts patients’ outcome and mutations from H&E slides in Gastrointestinal stromal tumor (GIST) M Karanian, R Perret, A Camara, F Le Loarer, M Jean-Denis, I Hostein, ... | | 2022 |
| Analysis of two detectors that will be used in CMS upgrade JO du Terrail https://cds.cern.ch/record/1752567?ln=fr, 2014 | | 2014 |
Eric W. TramelAI/ML @ Gretel.aiبريد إلكتروني تم التحقق منه على gretel.ai