ML
Marco Lorenzi
cs.LGcs.CVq-bio.QMstat.MLAlzheimer's diseaseAlzheimer’s diseaseq-bio.NCcs.AIAlgorithmsClinical trials
On Valency
published · living versionsW_hbjrxy96·v1 · currentpublished
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
with Daniel Semchin, Emile d'Angremont, Hao Ding, Alan Antar +4
1 version
Preprints & journals
89 papers in the corpus · 2009–2026Optimized RNA-seq workflow for routine diagnosis of mitochondrial diseases using aberrant expression analysis and phenotype-driven prioritization.42864382 · Riera-Navarro, Lucile, Birgy, Eléonore, Ait-El-Mkadem Saadi, Samira et al.2026 · 0 citationsEuropean journal of human genetics : EJHG. 2026
Applications of Neural Cellular Automata: State of the Art, Challenges and Opportunities2609.24595v1 · Nick Lemke, Niklas Ihm, John Kalkhof et al.2026 · 0 citationsarXiv
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model2609.10890v1 · Daniel Semchin, Emile d'Angremont, Hao Ding et al.2026 · 0 citationsarXivon Valency
SMART: A Flexible, Interpretable, and Scalable Spatio-temporal Brain Atlas from High-Resolution Imaging Data2606.18753v1 · John Kalkhof, Boris Gutman (IIT), Emile d'Angremont et al.2026 · 0 citationsarXiv
MCVAE-based multi-omic anomaly detection in Fragile X Syndrome.42266503 · Khatir, Wassila, Lorenzi, Marco, Balelli, Irene et al.2026 · 0 citationsNAR molecular medicine. 2026;3(2):ugag028
A data-driven Alzheimer's disease progression simulator for retrospective validation and prospective Phase III power design.42145636 · Lorenzi, Marco, Custo, Anna, Frisoni, Giovanni B et al.2026 · 1 citationmedRxiv : the preprint server for health sciences. 2026
Open neuroinformatics infrastructure ecosystem for federated multisite studies.42146517 · Wang, Michelle, Bhagwat, Nikhil, Cremonesi, Francesco et al.2026 · 0 citationsbioRxiv : the preprint server for biology. 2026
MedScribe: Clinically Grounded CT Reporting through Agentic Workflows2605.01779v1 · Giuseppe A. Orlando, Paolo Papotti, Maria A. Zuluaga et al.2026 · 0 citationsarXiv
Variance-Reduced Unlearning using Forget Set Gradients2602.14938v1 · Martin Van Waerebeke, Marco Lorenzi, Kevin Scaman et al.2026 · 0 citationsarXiv
Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies2601.14314v1 · Santiago Silva (EPIONE), Ghiles Reguig (EPIONE), Neil P Oxtoby (UCL) et al.2026 · 0 citationsarXiv
Disease Progression Modeling and Stratification for detecting sub-trajectories in the natural history of pathologies: Application to Alzheimer's disease trajectory modeling.41211099 · Viani, Alessandro, Custo, Anna, d'Angremont, Emile et al.2025 · 3 citationsImaging neuroscience (Cambridge, Mass.). 2025;3
Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease2508.10343v1 · Daniel Semchin, Emile d'Angremont, Marco Lorenzi et al.2025 · 0 citationsarXiv
When to Forget? Complexity Trade-offs in Machine Unlearning2502.17323v2 · Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia et al.2025 · 0 citationsarXiv
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling2412.13608v1 · Alessandro Viani (CRISAM), Boris A Gutman (IIT), Emile d'Angremont (Amsterdam UMC) et al.2024 · 0 citationsarXiv
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications2412.06494v3 · Francesco Cremonesi, Lucia Innocenti, Sebastien Ourselin et al.2024 · 0 citationsarXiv
A data-driven model of disability progression in progressive multiple sclerosis.39777254 · Garbarino, Sara, Tur, Carmen, Lorenzi, Marco et al.2025 · 5 citationsBrain communications. 2025;7(1):fcae434
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications2409.00974v1 · Riccardo Taiello, Sergen Cansiz, Marc Vesin et al.2024 · 8 citationsarXiv
Preictal dysfunctions of inhibitory interneurons paradoxically lead to their rebound hyperactivity and to low-voltage-fast onset seizures in Dravet syndrome.38809712 · Capitano, Fabrizio, Kuchenbuch, Mathieu, Lavigne, Jennifer et al.2024 · 12 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(23):e2316364121
Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis.38738527 · Collorone, Sara, Coll, Llucia, Lorenzi, Marco et al.2024 · 21 citationsMultiple sclerosis (Houndmills, Basingstoke, England). 2024;30(7):767-784
Privacy preserving image registration.38471338 · Taiello, Riccardo, Önen, Melek, Capano, Francesco et al.2024 · 9 citationsMedical image analysis. 2024;94:103129
Volumetric Study of the Hippocampus in Early-onset Schizophrenia: Correlations with Age of Onset39219117 · Vidal, Olivia, Chetrit, Mélanie, Guivarch, Jokthan et al.2024 · 0 citationsCurrent medical imaging. 2024;20:e15734056323644
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation2309.17097v2 · Lucia Innocenti, Michela Antonelli, Francesco Cremonesi et al.2023 · 1 citationarXiv
Tackling the dimensions in imaging genetics with CLUB-PLS2309.07352v2 · Andre Altmann, Ana C Lawry Aguila, Neda Jahanshad et al.2023 · 0 citationsarXiv
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching2306.02658v1 · Etrit Haxholli, Marco Lorenzi2023 · 0 citationsarXiv
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows2306.02731v1 · Etrit Haxholli, Marco Lorenzi2023 · 0 citationsarXiv
On Tail Decay Rate Estimation of Loss Function Distributions2306.02807v1 · Etrit Haxholli, Marco Lorenzi2023 · 0 citationsarXiv
Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies10.1101/2023.05.24.542107v3 · Silva, S., Reguig, G., Oxtoby, N. et al.2023 · 6 citationsbioRxiv
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications2304.12012v1 · Francesco Cremonesi, Marc Vesin, Sergen Cansiz et al.2023 · 22 citationsFederated Learning Systems, 2nd ed., Springer, 2025. Part of Studies in Computational Intelligence, vol. 832. ISBN 978-3-031-78840-6
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models2304.08054v1 · Irene Balelli (EPIONE, UCA), Aude Sportisse (MAASAI et al.2023 · 7 citationsarXiv
MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling.36682509 · Martí-Juan, Gerard, Lorenzi, Marco, Piella, Gemma et al.2023 · 35 citationsNeuroImage. 2023;268:119892
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization2211.11656v5 · Yann Fraboni, Martin Van Waerebeke, Kevin Scaman et al.2022 · 9 citationsarXiv
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings2210.04620v3 · Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers et al.2022 · 103 citationsarXiv
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates2206.10189v1 · Yann Fraboni, Richard Vidal, Laetitia Kameni et al.2022 · 14 citationsarXiv
Privacy Preserving Image Registration2205.10120v7 · Riccardo Taiello, Melek Onen, Francesco Capano et al.2022 · 0 citationsMedical Image Analysis Medical Image Analysis, Volume 94, May 2024, 103129
A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations2204.07352v2 · Irene Balelli, Santiago Silva, Marco Lorenzi2022 · 3 citationsJournal of Machine Learning for Biomedical Imaging. 2022:012. pp 1-36. Special Issue: Information Processing in Medical Imaging (IPMI) 2021
Decoding Genetic Markers of Multiple Phenotypic Layers Through Biologically Constrained Genome-To-Phenome Bayesian Sparse Regression.39086978 · Deprez, Marie, Moreira, Julien, Sermesant, Maxime et al.2024 · 2 citationsFrontiers in molecular medicine. 2022;2:830956
SimulAD: a dynamical model for personalized simulation and disease staging in Alzheimer's disease.35320737 · Clément, Abi Nader, Ribaldi, Federica, Frisoni, Giovanni B et al.2022 · 5 citationsNeurobiology of aging. 2022;113:73-83
Predicting Visual Fields From Optical Coherence Tomography via an Ensemble of Deep Representation Learners.34998718 · Lazaridis, Georgios, Montesano, Giovanni, Afgeh, Saman Sadeghi et al.2022 · 30 citationsAmerican journal of ophthalmology. 2022;238:52-65
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.34741894 · Casamitjana, Adrià, Lorenzi, Marco, Ferraris, Sebastiano et al.2022 · 24 citationsMedical image analysis. 2022;75:102265
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation.34731770 · Dang, Vien Ngoc, Galati, Francesco, Cortese, Rosa et al.2022 · 48 citationsMedical image analysis. 2022;75:102263
Revealing the Timeline of Structural MRI Changes in Premanifest to Manifest Huntington Disease.34660889 · Wijeratne, Peter A, Garbarino, Sara, Gregory, Sarah et al.2025 · 36 citationsNeurology. Genetics. 2021;7(5):e617
A General Theory for Client Sampling in Federated Learning2107.12211v4 · Yann Fraboni, Richard Vidal, Laetitia Kameni et al.2021 · 17 citationsarXiv
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning2105.05883v2 · Yann Fraboni, Richard Vidal, Laetitia Kameni et al.2021 · 123 citationsarXiv
Simulating the outcome of amyloid treatments in Alzheimer's disease from imaging and clinical data.34085040 · Abi Nader, Clément, Ayache, Nicholas, Frisoni, Giovanni B et al.2024 · 20 citationsBrain communications. 2021;3(2):fcab091
Biophysics-based statistical learning: Application to heart and brain interactions.34020082 · Banus, Jaume, Lorenzi, Marco, Camara, Oscar et al.2021 · 9 citationsMedical image analysis. 2021;72:102089
Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain.33823273 · Garbarino, Sara, Lorenzi, Marco, Alzheimer’s Disease Neuroimaging Initiative2021 · 22 citationsNeuroImage. 2021;235:117980
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks.33260117 · Lazaridis, Georgios, Lorenzi, Marco, Ourselin, Sebastien et al.2021 · 24 citationsMedical image analysis. 2021;68:101906
OCT Signal Enhancement with Deep Learning.33069883 · Lazaridis, Georgios, Lorenzi, Marco, Mohamed-Noriega, Jibran et al.2021 · 18 citationsOphthalmology. Glaucoma. 2021;4(3):295-304
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets2010.01052v3 · Jaume Banus, Maxime Sermesant, Oscar Camara et al.2020 · 1 citationarXiv
Simulating the outcome of amyloid treatments in Alzheimer's Disease from multi-modal imaging and clinical data10.1101/2020.09.02.279521v5 · Abi Nader, C., Ayache, N., Frisoni, G. B. et al.2020 · 0 citationsbioRxiv
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