| 2025 | ICML | When to Forget? Complexity Trade-offs in Machine Unlearning. | Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia, Kevin Scaman |
| 2025 | MICCAI | Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease. | Daniel Semchin, Emile d'Angremont, Marco Lorenzi, Boris A. Gutman |
| 2024 | AISTATS | SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. | Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi |
| 2024 | MICCAI | Federated Multi-centric Image Segmentation with Uneven Label Distribution. | Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga |
| 2024 | MICCAI | Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. | Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek nen, Marco Lorenzi |
| 2024 | MICCAI | Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson's Disease Trajectory Modelling. | Alessandro Viani, Boris A. Gutman, Emile d'Angremont, Marco Lorenzi |
| 2023 | MICCAI | Validation of Federated Unlearning on Collaborative Prostate Segmentation. | Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sbastien Ourselin, Marco Lorenzi |
| 2022 | IJCAI | A General Theory for Client Sampling in Federated Learning. | Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi |
| 2022 | MICCAI | Privacy Preserving Image Registration. | Riccardo Taiello, Melek nen, Olivier Humbert, Marco Lorenzi |
| 2021 | AISTATS | Free-rider Attacks on Model Aggregation in Federated Learning. | Yann Fraboni, Richard Vidal, Marco Lorenzi |
| 2021 | ICML | Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. | Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi |
| 2021 | MICCAI | Phase-Independent Latent Representation for Cardiac Shape Analysis. | Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant |
| 2020 | MICCAI | Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. | Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi |
| 2020 | MICCAI | Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. | Marta Nuez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant |
| 2020 | MICCAI | Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. | Santiago Silva, Andr Altmann, Boris Gutman, Marco Lorenzi |
| 2019 | ICML | Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. | Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi |
| 2019 | MICCAI | Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. | Georgios Lazaridis, Marco Lorenzi, Sbastien Ourselin, David Garway-Heath |
| 2019 | MICCAI | Disease Knowledge Transfer Across Neurodegenerative Diseases. | 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 |
| 2018 | ICML | Constraining the Dynamics of Deep Probabilistic Models. | Marco Lorenzi, Maurizio Filippone |
| 2018 | MICCAI | Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. | Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi |
| 2018 | MICCAI | Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. | Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren |
| 2018 | MICCAI | Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. | Clment Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi |
| 2016 | CVPR | Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. | Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren |
| 2016 | MICCAI | Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. | Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sbastien Ourselin, Stanley Durrleman, Marc Modat |
| 2016 | MICCAI | Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. | Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Herv Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sbastien Ourselin |
| 2015 | ICML | Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. | Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sbastien Ourselin |
| 2014 | MICCAI | A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. | Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec |
| 2013 | MICCAI | Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. | Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec |
| 2012 | MICCAI | Regional Flux Analysis of Longitudinal Atrophy in Alzheimer's Disease. | Marco Lorenzi, Nicholas Ayache, Xavier Pennec |
| 2011 | MICCAI | Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields. | Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, Xavier Pennec |