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Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning

May 21, 2021
Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi

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Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas

May 04, 2021
Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias

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Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation

Jan 29, 2021
Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga

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Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets

Oct 08, 2020
Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi

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Free-rider Attacks on Model Aggregation in Federated Learning

Jun 21, 2020
Yann Fraboni, Richard Vidal, Marco Lorenzi

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A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments

May 23, 2019
Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache

* NeuroImage, Elsevier, In press 

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Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data

Feb 28, 2019
Clement Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi

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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders

Jan 11, 2019
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

* 24 pages, 5 figures, 2 tables, 1 algorithm 

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Disease Knowledge Transfer across Neurodegenerative Diseases

Jan 11, 2019
Razvan V. Marinescu, Marco Lorenzi, Stefano Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander

* IPMI 2019 submission, 13 pages, 5 figures, 2 tables 

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Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

Oct 22, 2018
Santiago Silva, Boris Gutman, Eduardo Romero, Paul M Thompson, Andre Altmann, Marco Lorenzi

* Federated learning, distributed databases, PCA, SVD, meta-analysis, brain disease 

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Constraining the Dynamics of Deep Probabilistic Models

Jun 18, 2018
Marco Lorenzi, Maurizio Filippone

* 13 pages 

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