Maturation of the [Ni–4Fe–4S] active site of carbon monoxide dehydrogenases
Meriem Merrouch
,
Martino Benvenuti
,
Marco Lorenzi
,
Christophe Léger
,
Vincent Fourmond
,
et al.
Article dans une revue
hal-01816335v1
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SimulAD: A dynamical model for personalized simulation and disease staging in Alzheimer's disease
Clément Abi Nader
,
Federica Ribaldi
,
Giovanni B Frisoni
,
Valentina Garibotto
,
Philippe Robert
,
et al.
Article dans une revue
hal-03514292v1
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Combining Multi-Task Learning and Multi-Channel Variational Auto-Encoders to Exploit Datasets with Missing Observations -Application to Multi-Modal Neuroimaging Studies in Dementia
Luigi Antelmi
,
Nicholas Ayache
,
Philippe Robert
,
Federica Ribaldi
,
Valentina Garibotto
,
et al.
2021
Pré-publication, Document de travail
hal-03114888v2
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Disentangling the normal aging from the pathological Alzheimer's disease progression on cross-sectional structural MR images
Marco Lorenzi
,
Xavier Pennec
,
Nicholas Ayache
,
Giovanni Frisoni
MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12) , 2012, Nice, France. pp.145-154
Communication dans un congrès
hal-00813836v1
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OCT Signal Enhancement with Deep Learning
Georgios Lazaridis
,
Marco Lorenzi
,
Jibran Mohamed-Noriega
,
Soledad Aguilar-Munoa
,
Katsuyoshi Suzuki
,
et al.
Article dans une revue
hal-03374545v1
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Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
Claire Cury
,
Stanley Durrleman
,
David Cash
,
Marco Lorenzi
,
Jennifer M Nicholas
,
et al.
Article dans une revue
inserm-01958916v1
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Modeling and inference of spatio-temporal protein dynamics across brain networks
Sara Garbarino
,
Marco Lorenzi
IPMI 2019 - International Conference on Information Processing in Medical Imaging , Jun 2019, Hong Kong, Hong Kong SAR China. pp.57-69
Communication dans un congrès
hal-02165021v1
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Constraining the Dynamics of Deep Probabilistic Models
Marco Lorenzi
,
Maurizio Filippone
ICML 2018 - The 35th International Conference on Machine Learning , Jul 2018, Stockholm, Sweden. pp.3233-3242
Communication dans un congrès
hal-01843006v1
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Deformation-based morphometry of the brain for the development of surrogate markers in Alzheimer's disease
Marco Lorenzi
Medical Imaging. Université Nice Sophia Antipolis, 2012. English.
⟨NNT : ⟩
Thèse
tel-00844577v1
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Supplementary Material of the paper: "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
Autre publication scientifique
hal-01844733v1
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A method for statistical learning in large databases of heterogeneous imaging, cognitive and behavioral data.
Luigi Antelmi
,
Marco Lorenzi
,
Valeria Manera
,
Philippe Robert
,
Nicholas Ayache
EPICLIN 2018 - 12ème Conférence Francophone d’Epidémiologie Clinique / CLCC 2018 - 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer , May 2018, Nice, France. Elsevier, Revue d'Épidémiologie et de Santé Publique, 66 (3), pp.S180, 2018, 12e Conférence francophone d’Épidémiologie clinique 25e Journée des statisticiens des Centres de lutte contre le cancer.
⟨10.1016/j.respe.2018.03.306⟩
Poster de conférence
hal-01827389v1
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Which parallel transport for the statistical analysis of longitudinal deformations?
Xavier Pennec
,
Marco Lorenzi
Colloque GRETSI '11 , 2011, Bordeaux, France
Communication dans un congrès
inria-00616204v1
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Estimation of imaging biomarker's progression in post-infarct patients using cross-sectional data
Marta Nuñez-Garcia
,
Nicolas Cedilnik
,
Shuman Jia
,
Hubert Cochet
,
Marco Lorenzi
,
et al.
STACOM 2020 - 11th International Workshop on Statistical Atlases and Computational Models of the Heart , Oct 2020, Lima, Peru. p.108--116
Communication dans un congrès
hal-02961506v2
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Towards a Multidimensional Assessment of Apathy in Neurocognitive Disorders
Radia Zeghari
,
Philippe Robert
,
Valeria Manera
,
Marco Lorenzi
,
Alexandra König
AAIC 2019 - Alzheimer's Association International Conference , Jul 2019, Los Angeles, United States. 15 (7), pp.569, 2019,
⟨10.1016/j.jalz.2019.06.4514⟩
Poster de conférence
hal-02339152v1
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Susceptibility of brain atrophy to TRIB3 in Alzheimer’s disease, evidence from functional prioritization in imaging genetics
Marco Lorenzi
,
Andre Altmann
,
Boris Gutman
,
Selina Wray
,
Charles Arber
,
et al.
Proceedings of the National Academy of Sciences of the United States of America , 2018, 115 (12), pp.3162-3167.
⟨10.1073/pnas.1706100115⟩
Article dans une revue
hal-01756811v1
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Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study
Claire Cury
,
Stanley Durrleman
,
David M. Cash
,
Marco Lorenzi
,
Jennifer M Nicholas
,
et al.
2018
Pré-publication, Document de travail
hal-01856906v1
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Regional flux analysis of longitudinal atrophy in Alzheimer's disease
Marco Lorenzi
,
Xavier Pennec
,
Nicholas Ayache
,
(adni) For The Alzheimer'S Disease Neuroimaging Initiative
Alzheimer's Association International Conference , Jul 2014, Copenhagen, Denmark
Communication dans un congrès
hal-01015978v1
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Free-rider Attacks on Model Aggregation in Federated Learning
Yann Fraboni
,
Richard Vidal
,
Marco Lorenzi
AISTATS 2021 - 24th International Conference on Artificial Intelligence and Statistics , Apr 2021, San Diego, United States
Communication dans un congrès
hal-03123638v1
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Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data
Luigi Antelmi
,
Nicholas Ayache
,
Philippe Robert
,
Marco Lorenzi
ICML 2019 - 36th International Conference on Machine Learning , Jun 2019, Long Beach, United States
Communication dans un congrès
hal-02154181v1
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Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks
Georgios Lazaridis
,
Marco Lorenzi
,
Sebastien Ourselin
,
David Garway-Heath
Article dans une revue
hal-03374539v1
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Decoding genetic markers of multiple phenotypic layers through biologically constrained Genome-to-Phenome Bayesian Sparse Regression
Marie Deprez
,
Julien Moreira
,
Maxime Sermesant
,
Marco Lorenzi
Article dans une revue
hal-03477486v1
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Parallel Transport with Pole Ladder: Application to Deformations of time Series of Images
Marco Lorenzi
,
Xavier Pennec
Communication dans un congrès
hal-00819898v1
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A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images
Răzvan Valentin Marinescu
,
Arman Esaghi
,
Marco Lorenzi
,
Alexandra L. Young
,
Neil P. Oxtoby
,
et al.
International Conference on Information Processing in Medical Imaging (IPMI) , Jul 2017, Boone, United States
Communication dans un congrès
hal-01843387v1
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Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields
Mehdi Hadj-Hamou
,
Marco Lorenzi
,
Nicholas Ayache
,
Xavier Pennec
Article dans une revue
hal-01329989v1
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Probabilistic Flux Analysis of Cerebral Longitudinal Atrophy
Marco Lorenzi
,
Giovanni B. Frisoni
,
Nicholas Ayache
,
Xavier Pennec
MICCAI workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders (NIBAD'12) , 2012, Nice, France. pp.256-265
Communication dans un congrès
hal-00813846v1
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Modelling pathological processes from heterogeneous and high-dimensional biomedical data
Marco Lorenzi
Medical Imaging. UCA, 2020
HDR
tel-03150585v1
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Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows
Etrit Haxholli
,
Marco Lorenzi
DLDE-III Workshop in the 37th Conference on Neural Information Processing Systems (NeurIPS 2023) , Dec 2023, New Orleans, Louisiana, United States
Communication dans un congrès
hal-03911870v2
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Integration of Multimodal Data
Marco Lorenzi
,
Marie Deprez
,
Irene Balelli
,
Ana L Aguila
,
Andre Altmann
Chapitre d'ouvrage
hal-04239814v1
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Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge
David M. Cash
,
Chris Frost
,
Leonardo O. Iheme
,
Devrim Ünay
,
Melek Kandemir
,
et al.
Article dans une revue
hal-01203573v1
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Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease
Marco Lorenzi
,
Maurizio Filippone
,
Giovanni Frisoni
,
Daniel C Alexander
,
Sébastien Ourselin
NeuroImage , 2017
Article dans une revue
hal-01617750v1
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