| Federated learning in distributed medical databases: Meta-analysis of large-scale subcortical brain data S Silva, BA Gutman, E Romero, PM Thompson, A Altmann, M Lorenzi 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 198 | 2019 |
| Federated learning in distributed medical databases: Meta-analysis of large-scale subcortical brain data S Silva, BA Gutman, E Romero, PM Thompson, A Altmann, M Lorenzi 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 198 | 2019 |
| 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 | 64 | 2022 |
| Fed-biomed: A general open-source frontend framework for federated learning in healthcare S Silva, A Altmann, B Gutman, M Lorenzi Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 50 | 2020 |
| Fed-BioMed: open, transparent and trusted federated learning for real-world healthcare applications F Cremonesi, M Vesin, S Cansiz, Y Bouillard, I Balelli, L Innocenti, S Silva, ... arXiv preprint arXiv:2304.12012, 2023 | 6 | 2023 |
| A probabilistic framework for modeling the variability across federated datasets I Balelli, S Silva, M Lorenzi, Alzheimer’s Disease Neuroimaging Initiative International Conference on Information Processing in Medical Imaging, 701-714, 2021 | 5 | 2021 |
| A differentially private probabilistic framework for modeling the variability across federated datasets of heterogeneous multi-view observations I Balelli, S Silva, M Lorenzi arXiv preprint arXiv:2204.07352, 2022 | 4 | 2022 |
| Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material) S Silva, B Gutman, E Romero, PM Thompson, A Altmann, M Lorenzi Inria & Université Cote d'Azur, CNRS, I3S, Sophia Antipolis, France, 2018 | 2 | 2018 |
| Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies S Silva, M Lorenzi, A Altmann, N Oxtoby bioRxiv, 2023.05. 24.542107, 2023 | 1 | 2023 |
| A Data-Centric Approach for Pectoral Muscle Deep Learning Segmentation Enhancements in Mammography Images SV Silva, CA Sierra-Franco, J Hurtado, LC da Cruz, VA Thomaz, ... International Symposium on Visual Computing, 56-67, 2023 | | 2023 |
| Towards Automated Semantic Segmentation in Mammography Images CA Sierra-Franco, J Hurtado, VA Thomaz, LC da Cruz, SV Silva, ... arXiv preprint arXiv:2307.10296, 2023 | | 2023 |
| Discriminating cerebral palsy by quantifying ocular motion J González, S Silva, G Pineda, E Romero 15th International Symposium on Medical Information Processing and Analysis …, 2020 | | 2020 |
| Sulci characterization to predict progression from mild cognitive impairment to Alzheimer's disease S Silva, DL Giraldo, E Romero 15th International Symposium on Medical Information Processing and Analysis …, 2020 | | 2020 |
| Characterizing brain patterns in conversion from mild cognitive impairment (MCI) to Alzheimer's disease S Silva, DL Giraldo, E Romero 13th International Conference on Medical Information Processing and Analysis …, 2017 | | 2017 |
Marco LorenziUniversité Côte d'Azur, InriaVerified email at inria.fr
