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Section: Application Domains
Introduction
We develop different applications of our new methodologies to brain pathologies, mainly neurodegenerative diseases. These applications aim at:
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis
- Individual analysis of molecular brain imaging data through automatic identification of abnormality patterns
- Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data
- Towards Fully-reproducible Research on Classification of Alzheimer's Disease
- Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years
- Loss of brain inter-frequency hubs in Alzheimer's disease
- A statistical model for brain networks inferred from large-scale electrophysiological signals
- A Topological Criterion for Filtering Information in Complex Brain Networks
- Preclinical Alzheimer’s disease: a systematic review of the cohorts underlying the concept
- Free and Cued Selective Reminding Test - accuracy for the differential diagnosis of Alzheimer's and neurodegenerative diseases: A large-scale biomarker-characterized monocenter cohort study (ClinAD)
- Parallel transport in shape analysis : a scalable numerical scheme
- Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
- Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline
- Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials
- Geodesic shape regression with multiple geometries and sparse parameters
- A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles
- A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes
- A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis
- Individual analysis of molecular brain imaging data through automatic identification of abnormality patterns
- Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data
- Towards Fully-reproducible Research on Classification of Alzheimer's Disease
- Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years
- Loss of brain inter-frequency hubs in Alzheimer's disease
- A statistical model for brain networks inferred from large-scale electrophysiological signals
- A Topological Criterion for Filtering Information in Complex Brain Networks
- Preclinical Alzheimer’s disease: a systematic review of the cohorts underlying the concept
- Free and Cued Selective Reminding Test - accuracy for the differential diagnosis of Alzheimer's and neurodegenerative diseases: A large-scale biomarker-characterized monocenter cohort study (ClinAD)
- Parallel transport in shape analysis : a scalable numerical scheme
- Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks
- Prediction of the progression of subcortical brain structures in Alzheimer's disease from baseline
- Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials
- Geodesic shape regression with multiple geometries and sparse parameters
- A sub-Riemannian modular framework for diffeomorphism based analysis of shape ensembles
- A Bayesian Framework for Joint Morphometry of Surface and Curve meshes in Multi-Object Complexes
- A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography