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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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Maturation of the [Ni–4Fe–4S] active site of carbon monoxide dehydrogenases

Meriem Merrouch , Martino Benvenuti , Marco Lorenzi , Christophe Léger , Vincent Fourmond , et al.
Journal of Biological Inorganic Chemistry, 2018, 23 (4), pp.613-620. ⟨10.1007/s00775-018-1541-0⟩
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.
Neurobiology of Aging, 2022, 113, pp.73-83. ⟨10.1016/j.neurobiolaging.2021.12.015⟩
Article dans une revue hal-03514292v1
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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

OCT Signal Enhancement with Deep Learning

Georgios Lazaridis , Marco Lorenzi , Jibran Mohamed-Noriega , Soledad Aguilar-Munoa , Katsuyoshi Suzuki , et al.
Ophthalmology Glaucoma, 2021, 4 (3), pp.295-304. ⟨10.1016/j.ogla.2020.10.008⟩
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.
NeuroImage, 2019, 188, pp.282-290. ⟨10.1016/j.neuroimage.2018.11.063⟩
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

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

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

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

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

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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On Tail Decay Rate Estimation of Loss Function Distributions

Etrit Haxholli , Marco Lorenzi
Journal of Machine Learning Research, In press
Article dans une revue hal-03911884v2
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Biophysics-based statistical learning: Application to heart and brain interactions

Jaume Banus , Marco Lorenzi , Oscar Camara , Maxime Sermesant
Medical Image Analysis, 2021, 72, ⟨10.1016/j.media.2021.102089⟩
Article dans une revue hal-03231513v1
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Genetic study of multimodal imaging Alzheimer’s disease progression score implicates novel loci

Marzia A Scelzi , Raiyan R Khan , Marco Lorenzi , Christopher Leigh , Michael D Greicius , et al.
Brain - A Journal of Neurology , 2018, 141 (7), pp.2167 - 2180. ⟨10.1093/brain/awy141⟩
Article dans une revue hal-01843380v1
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Geodesics, Parallel Transport & One-parameter Subgroups for Diffeomorphic Image Registration

Marco Lorenzi , Xavier Pennec
Proceedings of the Third International Workshop on Mathematical Foundations of Computational Anatomy - Geometrical and Statistical Methods for Modelling Biological Shape Variability, Sep 2011, Toronto, Canada. pp.64-74
Communication dans un congrès inria-00623919v2
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Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization

Yann Fraboni , Richard Vidal , Laetitia Kameni , Marco Lorenzi
2023
Pré-publication, Document de travail hal-03910848v1
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Large Scale Cardiovascular Model Personalisation for Mechanistic Analysis of Heart and Brain Interactions

Jaume Banus , Marco Lorenzi , Oscar Camara , Maxime Sermesant
FIMH 2019 - 10th International Conference on Functional Imaging and Modeling of the Heart, Jun 2019, Bordeaux, France. pp.285-293, ⟨10.1007/978-3-030-21949-9_31⟩
Communication dans un congrès hal-02361466v1

Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment

Marco Lorenzi , Michael Donohue , Donata Paternico , Cristina Scarpazza , Susanne Ostrowitzki , et al.
Neurobiology of Aging, 2010, pp.1443
Article dans une revue inria-00616109v1

Structural brain features of borderline personality and bipolar disorders

Roberta Rossi , Michela Pievani , Marco Lorenzi , Marina Boccardi , Rossella Beneduce , et al.
Psychiatry Research: Neuroimaging, 2012, 12, pp.83-91
Article dans une revue hal-00809081v1
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Federated learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data (Supplementary Material)

Santiago Silva , Boris Gutman , Eduardo Romero , Paul M. Thompson , Andre Altmann , et al.
[Research Report] Inria & Université Cote d'Azur, CNRS, I3S, Sophia Antipolis, France. 2018
Rapport hal-01895800v2

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

Santiago Silva , Boris A Gutman , Eduardo Romero , Paul M. Thompson , Andre Altmann , et al.
International Symposium on Biomedical Imaging, Apr 2018, Venice, Italy
Communication dans un congrès hal-01963637v1
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Blood Levels of Omega 3 and 6 across the Progression of Alzheimer's Disease

Marco Lorenzi , Hélène Barelli
Alzheimer's Association International Conference (AAIC), 2018, Chicago, United States
Poster de conférence hal-02568454v1

Spatio-temporal model of atrophy progression in healthy subjects at risk for Alzheimer's disease

Marco Lorenzi , Xavier Pennec , Nicholas Ayache , Giovanni B. Frisoni
Alzheimer's Association International Conference 2012, Jul 2012, Vancouver, Canada. pp.P340-P341, ⟨10.1016/j.jalz.2012.05.938⟩
Communication dans un congrès hal-00876518v1

Disentangling the normal aging from the pathological Alzheimer's disease progression on structural MR images

Marco Lorenzi , Nicholas Ayache , Xavier Pennec , Giovanni B. Frisoni
5th Clinical Trials in Alzheimer's Disease (CTAD'12), Oct 2012, Monte Carlo, Monaco
Communication dans un congrès hal-00813844v1

Differentiating pathological brain atrophy from normal aging: a promising diagnostic tool for Alzheimer's disease

Marco Lorenzi , Nicholas Ayache , Xavier Pennec , Giovanni B. Frisoni
2nd Virtual Physiological Human European Conference (VPH2012), Sep 2012, London, United Kingdom
Communication dans un congrès hal-00813842v1