Marco Lorenzi - RankMe

102 papers A* 5A 2B 1Journal 53Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variance-Reduced (ϵ,δ)-Unlearning using Forget Set Gradients. CoRR Martin Van Waerebeke, Marco Lorenzi, Kevin Scaman, El Mahdi El Mhamdi, Giovanni Neglia
2025	J	`jnl`	A Bayesian approach for clustering and exact finite-sample model selection in longitudinal data mixtures. Comput. Stat. Marco Corneli, Elena Erosheva, Xunlei Qian, Marco Lorenzi
2025	J	`jnl`	Buffalo: A Practical Secure Aggregation Protocol for Asynchronous Federated Learning. IACR Cryptol. ePrint Arch. Riccardo Taiello, Clémentine Gritti, Melek Önen, Marco Lorenzi
2025	—	`conf`	Buffalo: A Practical Secure Aggregation Protocol for Buffered Asynchronous Federated Learning. CODASPY Riccardo Taiello, Clémentine Gritti, Melek Önen, Marco Lorenzi
2025	—	`conf`	Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease. LMID@MICCAI Daniel Semchin, Emile d'Angremont, Marco Lorenzi, Boris A. Gutman
2025	A*	`conf`	When to Forget? Complexity Trade-offs in Machine Unlearning. ICML Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia, Kevin Scaman
2025	J	`jnl`	When to Forget? Complexity Trade-offs in Machine Unlearning. CoRR Martin Van Waerebeke, Marco Lorenzi, Giovanni Neglia, Kevin Scaman
2024	J	`jnl`	A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications. CoRR Francesco Cremonesi, Lucia Innocenti, Sébastien Ourselin, Vicky Goh, Michela Antonelli, Marco Lorenzi
2024	—	`conf`	Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson's Disease Trajectory Modelling. LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Alessandro Viani, Boris A. Gutman, Emile d'Angremont, Marco Lorenzi
2024	—	`conf`	Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. ISIC/iMIMIC/EARTH/DeCaF@MICCAI Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2024	J	`jnl`	Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications. CoRR Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2024	—	`conf`	Federated Multi-centric Image Segmentation with Uneven Label Distribution. MICCAI (10) Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga
2024	J	`jnl`	Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Client Stragglers. IACR Cryptol. ePrint Arch. Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi
2024	B	`conf`	Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers. ARES Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi
2024	J	`jnl`	On Tail Decay Rate Estimation of Loss Function Distributions. J. Mach. Learn. Res. Etrit Haxholli, Marco Lorenzi
2024	J	`jnl`	Privacy preserving image registration. Medical Image Anal. Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi
2024	A	`conf`	SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. AISTATS Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2023	J	`jnl`	A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. J. Mach. Learn. Res. Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2023	—	`conf`	Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. PKDD/ECML Workshops (4) Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023	J	`jnl`	Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023	J	`jnl`	Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows. CoRR Etrit Haxholli, Marco Lorenzi
2023	J	`jnl`	Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching. CoRR Etrit Haxholli, Marco Lorenzi
2023	J	`jnl`	Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications. CoRR Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, 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
2023	J	`jnl`	Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models. CoRR Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi
2023	J	`jnl`	MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling. NeuroImage Gerard Martí-Juan, Marco Lorenzi, Gemma Piella, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	On Tail Decay Rate Estimation of Loss Function Distributions. CoRR Etrit Haxholli, Marco Lorenzi
2023	J	`jnl`	Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi
2023	—	`conf`	Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
2022	J	`jnl`	A Differentially Private Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations. CoRR Irene Balelli, Santiago Silva, Marco Lorenzi
2022	—	`conf`	A General Theory for Client Sampling in Federated Learning. FL@IJCAI Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2022	J	`jnl`	A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2022	A*	`conf`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS 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
2022	J	`jnl`	FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR 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
2022	J	`jnl`	Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 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
2022	—	`conf`	Privacy Preserving Image Registration. MICCAI (6) Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2022	J	`jnl`	Privacy Preserving Image Registration. CoRR Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2022	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. Medical Image Anal. Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2022	J	`jnl`	Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2022	J	`jnl`	Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentation. Medical Image Anal. Vien Ngoc Dang, Francesco Galati, Rosa Cortese, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Karim Lekadir, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
2022	—	`conf`	What PLS can still do for Imaging Genetics in Alzheimer's disease. BHI Federica Cruciani, André Altmann, Marco Lorenzi, Gloria Menegaz, Ilaria Boscolo Galazzo
2021	—	`conf`	A Probabilistic Framework for Modeling the Variability Across Federated Datasets. IPMI Irene Balelli, Santiago Silva, Marco Lorenzi
2021	J	`jnl`	Biophysics-based statistical learning: Application to heart and brain interactions. Medical Image Anal. Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
2021	A*	`conf`	Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. ICML Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	J	`jnl`	Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	—	`conf`	Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment. BHI Heba Elshatoury, Federica Cruciani, Francesco Zumerle, Silvia Francesca Storti, André Altmann, Marco Lorenzi, Gholamreza Anbarjafari, Gloria Menegaz, Ilaria Boscolo Galazzo
2021	A	`conf`	Free-rider Attacks on Model Aggregation in Federated Learning. AISTATS Yann Fraboni, Richard Vidal, Marco Lorenzi
2021	J	`jnl`	Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Medical Image Anal. Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath
2021	J	`jnl`	Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain. NeuroImage Sara Garbarino, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
2021	—	`conf`	Multivariate Data Analysis Suggests The Link Between Brain Microstructure And Cognitive Impairment In Multiple Sclerosis. ISBI Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Marco Pitteri, Silvia Francesca Storti, Massimiliano Calabrese, Marco Lorenzi, Gloria Menegaz
2021	J	`jnl`	On The Impact of Client Sampling on Federated Learning Convergence. CoRR Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi
2021	—	`conf`	Phase-Independent Latent Representation for Cardiac Shape Analysis. MICCAI (6) Josquin Harrison, Marco Lorenzi, Benoit Legghe, Xavier Iriart, Hubert Cochet, Maxime Sermesant
2021	J	`jnl`	Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas. CoRR Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias
2021	J	`jnl`	Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation. CoRR Vien Ngoc Dang, Giuseppe Di Giacomo, Viola Marconetto, Prateek Mathur, Rosa Cortese, Marco Lorenzi, Ferran Prados, Maria A. Zuluaga
2020	—	`conf`	Estimation of Imaging Biomarker's Progression in Post-infarct Patients Using Cross-sectional Data. M&Ms and EMIDEC/STACOM@MICCAI Marta Nuñez Garcia, Nicolas Cedilnik, Shuman Jia, Hubert Cochet, Marco Lorenzi, Maxime Sermesant
2020	—	`conf`	Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI Santiago Silva, André Altmann, Boris Gutman, Marco Lorenzi
2020	J	`jnl`	Free-rider Attacks on Model Aggregation in Federated Learning. CoRR Yann Fraboni, Richard Vidal, Marco Lorenzi
2020	—	`conf`	Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete Datasets. MICCAI (6) Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
2020	J	`jnl`	Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets. CoRR Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi
2020	—	`book`	Modelling pathological processes from heterogeneous and high-dimensional biomedical data. Marco Lorenzi
2020	J	`jnl`	Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data. NeuroImage Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. CoRR Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
2019	J	`jnl`	A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments. NeuroImage Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
2019	J	`jnl`	DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. CoRR Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019	J	`jnl`	DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander
2019	—	`conf`	Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 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
2019	J	`jnl`	Disease Knowledge Transfer across Neurodegenerative Diseases. CoRR 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
2019	—	`conf`	Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials. MICCAI (1) Georgios Lazaridis, Marco Lorenzi, Sébastien Ourselin, David Garway-Heath
2019	—	`conf`	Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI Santiago Silva, Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi
2019	—	`conf`	Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions. FIMH Jaume Banus, Marco Lorenzi, Oscar Camara, Maxime Sermesant
2019	—	`conf`	Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks. IPMI Sara Garbarino, Marco Lorenzi
2019	J	`jnl`	Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data. CoRR Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2019	J	`jnl`	Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin
2019	A*	`conf`	Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data. ICML Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2019	J	`jnl`	Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort. NeuroImage 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
2018	J	`jnl`	A magnetic resonance multi-atlas for the neonatal rabbit brain. NeuroImage 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
2018	—	`conf`	Alzheimer's Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes. MLCN/DLF/iMIMIC@MICCAI Clément Abi Nader, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2018	A*	`conf`	Constraining the Dynamics of Deep Probabilistic Models. ICML Marco Lorenzi, Maurizio Filippone
2018	J	`jnl`	Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. CoRR Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi
2018	—	`conf`	Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction. MICCAI (2) Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren
2018	—	`conf`	Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease. MLCN/DLF/iMIMIC@MICCAI Luigi Antelmi, Nicholas Ayache, Philippe Robert, Marco Lorenzi
2018	J	`jnl`	Susceptibility of brain atrophy to Proc. Natl. Acad. Sci. USA 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
2017	—	`conf`	A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. IPMI Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander
2016	J	`jnl`	A biophysical model of brain deformation to simulate and analyze longitudinal MRIs of patients with Alzheimer's disease. NeuroImage Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec
2016	—	`conf`	Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration. CVPR Workshops Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren
2016	—	`conf`	Longitudinal Analysis of the Preterm Cortex Using Multi-modal Spectral Matching. MICCAI (1) Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Hervé Lombaert, Nicola J. Robertson, Giles S. Kendall, Nikolaus Weiskopf, Neil Marlow, Sébastien Ourselin
2016	—	`conf`	Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI Marco Lorenzi, Boris Gutman, Derrek P. Hibar, André Altmann, Neda Jahanshad, Paul M. Thompson, Sébastien Ourselin
2016	—	`conf`	Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease. SeSAMI@MICCAI Claire Cury, Marco Lorenzi, David M. Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan D. Rohrer, Sébastien Ourselin, Stanley Durrleman, Marc Modat
2015	—	`conf`	A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes. IPMI Boris A. Gutman, P. Thomas Fletcher, Manuel Jorge Cardoso, Greg M. Fleishman, Marco Lorenzi, Paul M. Thompson, Sébastien Ourselin
2015	J	`jnl`	Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 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
2015	—	`conf`	Efficient Gaussian Process-Based Modelling and Prediction of Image Time Series. IPMI Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
2015	—	`conf`	Modelling Non-stationary and Non-separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution. MLMMI@ICML Marco Lorenzi, Gabriel Ziegler, Daniel C. Alexander, Sébastien Ourselin
2015	J	`jnl`	Regional flux analysis for discovering and quantifying anatomical changes: An application to the brain morphometry in Alzheimer's disease. NeuroImage Marco Lorenzi, Nicholas Ayache, Xavier Pennec
2014	—	`conf`	A Biophysical Model of Shape Changes due to Atrophy in the Brain with Alzheimer's Disease. MICCAI (2) Bishesh Khanal, Marco Lorenzi, Nicholas Ayache, Xavier Pennec
2014	J	`jnl`	Efficient Parallel Transport of Deformations in Time Series of Images: From Schild's to Pole Ladder. J. Math. Imaging Vis. Marco Lorenzi, Xavier Pennec
2013	J	`jnl`	Geodesics, Parallel Transport & One-Parameter Subgroups for Diffeomorphic Image Registration. Int. J. Comput. Vis. Marco Lorenzi, Xavier Pennec
2013	J	`jnl`	LCC-Demons: A robust and accurate symmetric diffeomorphic registration algorithm. NeuroImage Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, Xavier Pennec
2013	—	`conf`	Parallel Transport with Pole Ladder: Application to Deformations of Time Series of Images. GSI Marco Lorenzi, Xavier Pennec
2013	—	`conf`	Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields. MICCAI (2) Marco Lorenzi, Bjoern H. Menze, Marc Niethammer, Nicholas Ayache, Xavier Pennec
2012	—	`—`	Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer's disease. Marco Lorenzi
2012	—	`conf`	Regional Flux Analysis of Longitudinal Atrophy in Alzheimer's Disease. MICCAI (1) Marco Lorenzi, Nicholas Ayache, Xavier Pennec
2011	—	`conf`	Mapping the Effects of Aβ 1 - 42 Levels on the Longitudinal Changes in Healthy Aging: Hierarchical Modeling Based on Stationary Velocity Fields. MICCAI (2) Marco Lorenzi, Nicholas Ayache, Giovanni B. Frisoni, Xavier Pennec
2011	—	`conf`	Schild's Ladder for the Parallel Transport of Deformations in Time Series of Images. IPMI Marco Lorenzi, Nicholas Ayache, Xavier Pennec