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Marco Lorenzi
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- affiliation: Université Côte d'Azur, France
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2020 – today
- 2024
- [j23]Etrit Haxholli, Marco Lorenzi:
On Tail Decay Rate Estimation of Loss Function Distributions. J. Mach. Learn. Res. 25: 25:1-25:47 (2024) - [j22]Riccardo Taiello
, Melek Önen
Privacy preserving image registration. Medical Image Anal. 94: 103129 (2024) - [c41]Riccardo Taiello
Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. ARES 2024: 13:1-13:12 - [c40]Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. AISTATS 2024: 3457-3465 - [c39]Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga:
Federated Multi-centric Image Segmentation with Uneven Label Distribution. MICCAI (10) 2024: 350-360 - [i25]Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi:
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. CoRR abs/2409.00974 (2024) - [i24]Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi:
Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Client Stragglers. IACR Cryptol. ePrint Arch. 2024: 942 (2024) - 2023
- [j21]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. J. Mach. Learn. Res. 24: 110:1-110:43 (2023) - [j20]Gerard Martí-Juan
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. NeuroImage 268: 119892 (2023) - [c38]Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi:
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 322-333 - [i23]Irene Balelli, Aude Sportisse, Francesco Cremonesi
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. CoRR abs/2304.08054 (2023) - [i22]Francesco Cremonesi
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR abs/2304.12012 (2023) - [i21]Etrit Haxholli, Marco Lorenzi:
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching. CoRR abs/2306.02658 (2023) - [i20]Etrit Haxholli, Marco Lorenzi:
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows. CoRR abs/2306.02731 (2023) - [i19]Etrit Haxholli, Marco Lorenzi:
On Tail Decay Rate Estimation of Loss Function Distributions. CoRR abs/2306.02807 (2023) - [i18]André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi:
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR abs/2309.07352 (2023) - [i17]Lucia Innocenti, Michela Antonelli, Francesco Cremonesi
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR abs/2309.17097 (2023) - 2022
- [j19]Vien Ngoc Dang
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75: 102263 (2022) - [j18]Adrià Casamitjana
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. Medical Image Anal. 75: 102265 (2022) - [j17]Andres Diaz-Pinto
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4(1): 55-61 (2022) - [c37]Federica Cruciani
What PLS can still do for Imaging Genetics in Alzheimer's disease. BHI 2022: 1-4 - [c36]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
A General Theory for Client Sampling in Federated Learning. FL@IJCAI 2022: 46-58 - [c35]Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi:
Privacy Preserving Image Registration. MICCAI (6) 2022: 130-140 - [c34]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 - [i16]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) - [i15]Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi:
Privacy Preserving Image Registration. CoRR abs/2205.10120 (2022) - [i14]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR abs/2206.10189 (2022) - [i13]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) - [i12]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR abs/2211.11656 (2022) - 2021
- [j16]Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Medical Image Anal. 68: 101906 (2021) - [j15]Jaume Banus
Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Anal. 72: 102089 (2021) - [j14]Sara Garbarino
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. NeuroImage 235: 117980 (2021) - [c33]Yann Fraboni, Richard Vidal, Marco Lorenzi:
Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS 2021: 1846-1854 - [c32]Heba Elshatoury, Federica Cruciani
Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment. BHI 2021: 1-4 - [c31]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML 2021: 3407-3416 - [c30]Irene Balelli
A Probabilistic Framework for Modeling the Variability Across Federated Datasets. IPMI 2021: 701-714 - [c29]Lorenza Brusini, Federica Cruciani
Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis. ISBI 2021: 685-688 - [c28]Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant:
Phase-Independent Latent Representation for Cardiac Shape Analysis. MICCAI (6) 2021: 537-546 - [i11]Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga:
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. CoRR abs/2101.09321 (2021) - [i10]Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias:
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR abs/2104.14873 (2021) - [i9]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR abs/2105.05883 (2021) - [i8]Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi:
On The Impact of Client Sampling on Federated Learning Convergence. CoRR abs/2107.12211 (2021) - 2020
- [b2]Marco Lorenzi:
Modelling pathological processes from heterogeneous and high-dimensional biomedical data. University of Nice Sophia Antipolis, France, 2020 - [j13]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage 205 (2020) - [c27]Marta Nuñez Garcia
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI 2020: 108-116 - [c26]Santiago Silva, André Altmann
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI 2020: 201-210 - [c25]Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. MICCAI (6) 2020: 478-486 - [i7]Yann Fraboni, Richard Vidal, Marco Lorenzi:
Free-rider Attacks on Model Aggregation in Federated Learning. CoRR abs/2006.11901 (2020) - [i6]Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi:
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. CoRR abs/2010.01052 (2020)
2010 – 2019
- 2019
- [j12]Claire Cury
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage 188: 282-290 (2019) - [j11]Marco Lorenzi
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190: 56-68 (2019) - [j10]Razvan V. Marinescu
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage 192: 166-177 (2019) - [j9]Raphaël Sivera, Hervé Delingette
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage 198: 255-270 (2019) - [c24]Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant:
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. FIMH 2019: 285-293 - [c23]Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. ICML 2019: 302-311 - [c22]Sara Garbarino
Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks. IPMI 2019: 57-69 - [c21]Santiago Silva
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI 2019: 270-274 - [c20]Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. MICCAI (1) 2019: 3-11 - [c19]Razvan V. Marinescu
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 2019: 860-868 - [i5]Razvan V. Marinescu, Marco Lorenzi
Disease Knowledge Transfer across Neurodegenerative Diseases. CoRR abs/1901.03517 (2019) - [i4]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. CoRR abs/1901.03553 (2019) - [i3]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. CoRR abs/1902.10952 (2019) - [i2]Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. CoRR abs/1905.09826 (2019) - 2018
- [j8]Sebastiano Ferraris, Johannes L. van der Merwe
A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 179: 187-198 (2018) - [j7]Marco Lorenzi
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [c18]Marco Lorenzi, Maurizio Filippone:
Constraining the Dynamics of Deep Probabilistic Models. ICML 2018: 3233-3242 - [c17]Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi:
Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. MLCN/DLF/iMIMIC@MICCAI 2018: 3-14 - [c16]Luigi Antelmi
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI 2018: 15-23 - [c15]Juan Eugenio Iglesias
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) 2018: 147-155 - [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
- [c14]Razvan V. Marinescu
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. IPMI 2017: 134-145 - 2016
- [j6]Bishesh Khanal
A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease. NeuroImage 134: 35-52 (2016) - [c13]Sebastiano Ferraris, Marco Lorenzi
Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. CVPR Workshops 2016: 457-464 - [c12]Marco Lorenzi
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI 2016: 838-841 - [c11]Claire Cury
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI 2016: 63-75 - [c10]Eliza Orasanu, Pierre-Louis Bazin
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) 2016: 255-263 - 2015
- [j5]Marco Lorenzi
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage 115: 224-234 (2015) - [j4]David M. Cash
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - [c9]Marco Lorenzi
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. MLMMI@ICML 2015: 35-44 - [c8]Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI 2015: 205-218 - [c7]Marco Lorenzi
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. IPMI 2015: 626-637 - 2014
- [j3]Marco Lorenzi
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild's to Pole Ladder. J. Math. Imaging Vis. 50(1-2): 5-17 (2014) - [c6]Bishesh Khanal
A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. MICCAI (2) 2014: 41-48 - 2013
- [j2]Marco Lorenzi
Geodesics, Parallel Transport & One-Parameter Subgroups for Diffeomorphic Image Registration. Int. J. Comput. Vis. 105(2): 111-127 (2013) - [j1]Marco Lorenzi
LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm. NeuroImage 81: 470-483 (2013) - [c5]Marco Lorenzi, Xavier Pennec
Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images. GSI 2013: 68-75 - [c4]Marco Lorenzi
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. MICCAI (2) 2013: 328-335 - 2012
- [b1]Marco Lorenzi:
Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer's disease. University of Nice Sophia Antipolis, France, 2012 - [c3]Marco Lorenzi, Nicholas Ayache, Xavier Pennec
Regional Flux Analysis of Longitudinal Atrophy in Alzheimer's Disease. MICCAI (1) 2012: 739-746 - 2011
- [c2]Marco Lorenzi
Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images. IPMI 2011: 463-474 - [c1]Marco Lorenzi
Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields. MICCAI (2) 2011: 663-670
Coauthor Index
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last updated on 2024-10-11 17:23 CEST by the dblp team
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