Marco Lorenzi

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 77

Top Venues

University of Nice Sophia Antipolis, France (PHD)

Education History

University of Nice Sophia Antipolis, France

PHD

Publications

Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi
Privacy preserving image registration. Medical Image Anal. 94 (2024)
Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi
Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. ARES (2024)
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 (2024)
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)
Etrit Haxholli, Marco Lorenzi
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching. CoRR (2023)
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 (2023)
Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. CoRR (2023)
Etrit Haxholli, Marco Lorenzi
On Tail Decay Rate Estimation of Loss Function Distributions. CoRR (2023)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR (2023)
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)
Etrit Haxholli, Marco Lorenzi
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows. CoRR (2023)
Gerard Martí-Juan, Marco Lorenzi, Gemma Piella, Alzheimer's Disease Neuroimaging Initiative
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. NeuroImage 268 (2023)
André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR (2023)
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago S. Silva R., 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 (2023)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR (2022)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
Privacy Preserving Image Registration. MICCAI (6) (2022)
Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. 75 (2022)
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 S. Silva R., 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 (2022)
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. Medical Image Anal. 75 (2022)
Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt, Erica Dall' Armellina, Marco Lorenzi, Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Emily Y. Chew, Zhiyong Lu, Chris P. Gale, Richard P. Gale, Sven Plein, Alejandro F. Frangi
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4 (1) (2022)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
Privacy Preserving Image Registration. CoRR (2022)
Federica Cruciani, André Altmann, Marco Lorenzi, Gloria Menegaz, Ilaria Boscolo Galazzo
What PLS can still do for Imaging Genetics in Alzheimer's disease. BHI (2022)
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)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
A General Theory for Client Sampling in Federated Learning. FL@IJCAI (2022)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR (2022)
Irene Balelli, Santiago S. Silva R., Marco Lorenzi
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. CoRR (2022)
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 (2021)
Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Marco Pitteri, Silvia Francesca Storti, Massimiliano Calabrese, Marco Lorenzi, Gloria Menegaz
Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis. ISBI (2021)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR (2021)
Yann Fraboni, Richard Vidal, Marco Lorenzi
Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS (2021)
Sara Garbarino, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. NeuroImage 235 (2021)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
On The Impact of Client Sampling on Federated Learning Convergence. CoRR (2021)
Irene Balelli, Santiago S. Silva R., Marco Lorenzi
A Probabilistic Framework for Modeling the Variability Across Federated Datasets. IPMI (2021)
Heba Elshatoury, Federica Cruciani, Francesco Zumerle, Silvia Francesca Storti, André Altmann, Marco Lorenzi, Gholamreza Anbarjafari, Gloria Menegaz, Ilaria Boscolo Galazzo
Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment. BHI (2021)
Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant
Phase-Independent Latent Representation for Cardiac Shape Analysis. MICCAI (6) (2021)
Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loc 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 (2021)
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML (2021)
Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Anal. 72 (2021)
Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Medical Image Anal. 68 (2021)
Yann Fraboni, Richard Vidal, Marco Lorenzi
Free-rider Attacks on Model Aggregation in Federated Learning. CoRR (2020)
Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Santiago S. Silva R., André Altmann, Boris Gutman, Marco Lorenzi
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI (2020)
Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. CoRR (2020)
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)
Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage 205 (2020)
Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190 (2019)
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. ICML (2019)
Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. FIMH (2019)
Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. MICCAI (1) (2019)
Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. CoRR (2019)
Claire Cury, Stanley Durrleman, David M. Cash, Marco Lorenzi, Jennifer M. Nicholas, Martina Bocchetta, John van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Caroline Graff, Fabrizio Tagliavini, Giovanni B. Frisoni, Robert Laforce Jr., Elizabeth C. Finger, Alexandre de Mendonça, Jason D. Warren
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage 188 (2019)
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. CoRR (2019)
Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. CoRR (2019)
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander
Disease Knowledge Transfer across Neurodegenerative Diseases. CoRR (2019)
Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) (2019)
Santiago S. Silva R., 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)
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage 192 (2019)
Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage 198 (2019)
Sara Garbarino, Marco Lorenzi
Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks. IPMI (2019)
Marco Lorenzi, Maurizio Filippone
Constraining the Dynamics of Deep Probabilistic Models. ICML (2018)
Sebastiano Ferraris, Johannes L. van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren
A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 179 (2018)
Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI (2018)
Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) (2018)
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)
Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin
in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115 (12) (2018)
Santiago S. Silva R., 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 (2018)
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. IPMI (2017)
Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin
Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) (2016)
Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec
A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease. NeuroImage 134 (2016)
Marco Lorenzi, Boris Gutman, Derrek P. Hibar, André Altmann, Neda Jahanshad, Paul M. Thompson, Sébastien Ourselin
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI (2016)
Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren
Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. CVPR Workshops (2016)
Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI (2016)
David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123 (2015)
Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. MLMMI@ICML (2015)
Marco Lorenzi, Nicholas Ayache, Xavier Pennec
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage 115 (2015)
Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. IPMI (2015)
Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi, Paul M. Thompson, Sébastien Ourselin
A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI (2015)
Marco Lorenzi, Xavier Pennec
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild's to Pole Ladder. J. Math. Imaging Vis. 50 (1-2) (2014)
Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec
A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. MICCAI (2) (2014)
Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, Xavier Pennec
LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm. NeuroImage 81 (2013)
Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. MICCAI (2) (2013)
Marco Lorenzi, Xavier Pennec
Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images. GSI (2013)
Marco Lorenzi, Xavier Pennec
Geodesics, Parallel Transport & One-Parameter Subgroups for Diffeomorphic Image Registration. Int. J. Comput. Vis. 105 (2) (2013)
Marco Lorenzi, Nicholas Ayache, Xavier Pennec
Regional Flux Analysis of Longitudinal Atrophy in Alzheimer's Disease. MICCAI (1) (2012)
Marco Lorenzi, Nicholas Ayache, Xavier Pennec
Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images. IPMI (2011)
Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, Xavier Pennec
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marco Lorenzi