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ORCIDSantiago Silva 0001
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- affiliation: Université Côte D'Azur, Inria Sophia Antipolis-Méditeranée, Valbonne, France
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2020 – today
- 2023
[b1]Santiago Silva:
Federated learning of biomedical data in multicentric imaging studies. (Apprentissage fédéré de données biomédicales dans les études d'imagerie multicentriques). Côte d'Azur University, Nice, France, 2023- [i4]Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi:
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR abs/2304.12012 (2023) - 2022
- [c5]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 2022 - [i3]Irene Balelli, Santiago Silva, Marco Lorenzi:
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. CoRR abs/2204.07352 (2022) - [i2]Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux:
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR abs/2210.04620 (2022) - 2021
- [c4]Irene Balelli
, Santiago Silva, Marco Lorenzi:
A Probabilistic Framework for Modeling the Variability Across Federated Datasets. IPMI 2021: 701-714 - 2020
- [c3]Santiago Silva, André Altmann, Boris Gutman, Marco Lorenzi:
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI 2020: 201-210
2010 – 2019
- 2019
- [c2]Santiago Silva, Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI 2019: 270-274 - 2018
- [i1]Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. CoRR abs/1810.08553 (2018) - 2017
- [c1]Santiago S. Silva R., Diana L. Giraldo, Eduardo Romero:
Characterizing brain patterns in conversion from mild cognitive impairment (MCI) to Alzheimer's disease. SIPAIM 2017: 105720I
Coauthor Index
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