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11 résultats

Riemannian Geometry Learning for Disease Progression Modelling

Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
Information Processing in Medical Imaging - IPMI 2019, Jun 2019, Hong-Kong, China. pp.542-553, ⟨10.1007/978-3-030-20351-1_42⟩
Communication dans un congrès hal-02429839v1
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A Comparison Between Early Presentation of Dementia with Lewy Bodies, Alzheimer's Disease, and Parkinson's Disease: Evidence from Routine Primary Care and UK Biobank Data

Thomas Nedelec , Baptiste Couvy-Duchesne , Aube Darves-bornoz , Raphäel Couronné , Fleur Monnet , et al.
Annals of Neurology, 2023, 94 (2), pp.259-270. ⟨10.1002/ana.26670⟩
Article dans une revue hal-04389605v1
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Longitudinal self-supervision to disentangle inter-patient variability from disease progression

Raphaël Couronné , Paul Vernhet , Stanley Durrleman​
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2021, Strasbourg, France
Communication dans un congrès hal-03491692v1

Motor abnormalities progression in prodromal PD

Raphäel Couronné , Marie Vidailhet , Graziella Mangone , Stéphane Lehéricy , Stanley Durrleman
AD/PD 2019 - 14th International Conference on Alzheimer's and Parkinson's Diseases and related neurological disorders, Mar 2019, Lisbon, Portugal
Communication dans un congrès hal-02276297v1
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Progression models for Parkinson’s Disease

Raphäel Couronné
Modeling and Simulation. Sorbonne Université, 2021. English. ⟨NNT : 2021SORUS363⟩
Thèse tel-03491211v2
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Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review

Manon Ansart , Stéphane Epelbaum , Giulia Bassignana , Alexandre Bône , Simona Bottani , et al.
Medical Image Analysis, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩
Article dans une revue hal-02337815v2
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Longitudinal autoencoder for multi-modal disease progression modelling

Raphäel Couronné , Maxime Louis , Stanley Durrleman
2019
Pré-publication, Document de travail hal-02090886v2
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Longitudinal comparison of subjects with and without Sleep Disorders in Parkinson's Disease

Raphäel Couronné , Arnaud Valladier , Marie Vidailhet , Jean Christophe C Corvol , Stephane Lehericy , et al.
VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France
Communication dans un congrès hal-02945917v2
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Modeling the progression of Parkinson's Disease: comparison of subjects with and without Sleep Disorders

Raphäel Couronné , Arnaud Valladier , Marie Vidhaillet , Jean Christophe Corvol , Stéphane Lehéricy , et al.
CompAge - Computational approaches for ageing and age-related diseases, Sep 2020, Paris, France
Poster de conférence hal-02945929v2
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Riemannian geometry learning for disease progression modelling

Maxime Louis , Raphäel Couronné , Igor Koval , Benjamin Charlier , Stanley Durrleman
2019
Pré-publication, Document de travail hal-02079820v2
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Learning disease progression models with longitudinal data and missing values

Raphäel Couronné , Marie Vidailhet , Jean-Christophe Corvol , Stéphane Lehéricy , Stanley Durrleman
ISBI 2019 - International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy
Communication dans un congrès hal-02091571v2