| 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 | 248 | 2019 |
| Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Y Fraboni, R Vidal, L Kameni, M Lorenzi Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021 | 225 | 2021 |
| LCC-Demons: a robust and accurate symmetric diffeomorphic registration algorithm M Lorenzi, N Ayache, GB Frisoni, X Pennec, ... NeuroImage 81, 470-483, 2013 | 199 | 2013 |
| Free-rider attacks on model aggregation in federated learning Y Fraboni, R Vidal, M Lorenzi International Conference on Artificial Intelligence and Statistics, 1846-1854, 2021 | 159 | 2021 |
| Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease M Lorenzi, M Filippone, GB Frisoni, DC Alexander, S Ourselin, ... NeuroImage 190, 56-68, 2019 | 140 | 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 | 136 | 2022 |
| In vivo mapping of amyloid toxicity in Alzheimer disease GB Frisoni, M Lorenzi, A Caroli, N Kemppainen, K Nagren, JO Rinne Neurology 72 (17), 1504-1511, 2009 | 104 | 2009 |
| Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images M Lorenzi, X Pennec, GB Frisoni, N Ayache, ... Neurobiology of aging 36, S42-S52, 2015 | 101 | 2015 |
| Geodesics, parallel transport & one-parameter subgroups for diffeomorphic image registration M Lorenzi, X Pennec International journal of computer vision 105 (2), 111-127, 2013 | 98 | 2013 |
| Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge DM Cash, C Frost, LO Iheme, D Ünay, M Kandemir, J Fripp, O Salvado, ... Neuroimage 123, 149-164, 2015 | 88 | 2015 |
| Schild’s ladder for the parallel transport of deformations in time series of images M Lorenzi, N Ayache, X Pennec Biennial international conference on information processing in medical …, 2011 | 86 | 2011 |
| Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data L Antelmi, N Ayache, P Robert, M Lorenzi Proceedings of the 36th International Conference on Machine Learning, PMLR …, 2019 | 85 | 2019 |
| Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci MA Scelsi, RR Khan, M Lorenzi, L Christopher, MD Greicius, JM Schott, ... Brain 141 (7), 2167-2180, 2018 | 76 | 2018 |
| Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022 | 72 | 2022 |
| Efficient parallel transport of deformations in time series of images: from Schild’s to pole ladder M Lorenzi, X Pennec Journal of mathematical imaging and vision 50, 5-17, 2014 | 71 | 2014 |
| Effect of memantine on resting state default mode network activity in Alzheimer’s disease M Lorenzi, A Beltramello, NB Mercuri, E Canu, G Zoccatelli, FB Pizzini, ... Drugs & aging 28 (3), 205-217, 2011 | 67 | 2011 |
| Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease, evidence from functional prioritization in imaging genetics M Lorenzi, A Altmann, B Gutman, S Wray, C Arber, DP Hibar, ... Proceedings of the National Academy of Sciences 115 (12), 3162-3167, 2018 | 66 | 2018 |
| 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 | 65 | 2020 |
| Structural brain features of borderline personality and bipolar disorders R Rossi, M Pievani, M Lorenzi, M Boccardi, R Beneduce, S Bignotti, ... Psychiatry Research: Neuroimaging 213 (2), 83-91, 2013 | 65 | 2013 |
| DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders RV Marinescu, A Eshaghi, M Lorenzi, AL Young, NP Oxtoby, S Garbarino, ... NeuroImage 192, 166-177, 2019 | 64 | 2019 |
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'Azur在 inria.fr 的电子邮件经过验证