Marco Lorenzi
Orcid: 0000-0003-0521-2881
According to our database1,
Marco Lorenzi
authored at least 74 papers
between 2011 and 2023.
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Bibliography
2023
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling.
NeuroImage, March, 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates.
J. Mach. Learn. Res., 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
CoRR, 2023
CoRR, 2023
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching.
CoRR, 2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Predicting myocardial infarction through retinal scans and minimal personal information.
Nat. Mach. Intell., 2022
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.
Medical Image Anal., 2022
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
Medical Image Anal., 2022
Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization.
CoRR, 2022
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations.
CoRR, 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain.
NeuroImage, 2021
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks.
Medical Image Anal., 2021
Medical Image Anal., 2021
Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021
Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data.
NeuroImage, 2020
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Modelling pathological processes from heterogeneous and high-dimensional biomedical data.
, 2020
2019
A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments.
NeuroImage, 2019
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders.
NeuroImage, 2019
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease.
NeuroImage, 2019
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.
NeuroImage, 2019
Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data.
Proceedings of the 36th International Conference on Machine Learning, 2019
Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Susceptibility of brain atrophy to <i>TRIB3</i> in Alzheimer's disease, evidence from functional prioritization in imaging genetics.
Proc. Natl. Acad. Sci. USA, 2018
Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease.
NeuroImage, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease.
Proceedings of the Spectral and Shape Analysis in Medical Imaging, 2016
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease.
NeuroImage, 2015
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
NeuroImage, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
2014
Efficient Parallel Transport of Deformations in Time Series of Images: From Schild's to Pole Ladder.
J. Math. Imaging Vis., 2014
A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
NeuroImage, 2013
Geodesics, Parallel Transport & One-Parameter Subgroups for Diffeomorphic Image Registration.
Int. J. Comput. Vis., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images.
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer's disease.
PhD thesis, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Information Processing in Medical Imaging, 2011