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Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set

Alexandre Bône 1 Benoît Martin 1 Maxime Louis 1 Olivier Colliot 1 Stanley Durrleman 1
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
SU - Sorbonne Université, Inria de Paris, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
Keywords : Magnetic resonance imaging Longitudinal data Disease progression modeling Alzheimer's disease Computational anatomy Shape analysis
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https://hal.inria.fr/hal-02979176
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Submitted on : Tuesday, October 27, 2020 - 9:13:47 AM
Last modification on : Tuesday, September 14, 2021 - 1:32:03 PM
Long-term archiving on: : Thursday, January 28, 2021 - 6:26:13 PM

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  • HAL Id : hal-02979176, version 1

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ICM | SORBONNE-UNIVERSITE | SU-MEDECINE | CNRS | INRIA | INSERM | SU-TI

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Alexandre Bône, Benoît Martin, Maxime Louis, Olivier Colliot, Stanley Durrleman. Hierarchical modeling of Alzheimer's disease progression from a large longitudinal MRI data set. VPH 2020 - Virtual Physiological Human 2020, Aug 2020, Paris / Virtual, France. ⟨hal-02979176⟩

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