Area of research
Geometry and Topology · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Morphological variations and asymmetry, Advanced Neuroimaging Techniques and Applications, Medical Image Segmentation Techniques, and Dementia and Cognitive Impairment Research.
Charting Disease Trajectories from Isolated <scp>REM</scp> Sleep Behavior Disorder to Parkinson's Disease
Impact of sex and APOE-ε4 genotype on patterns of regional brain atrophy in Alzheimer's Disease and healthy ageing
Impact of sex and APOE-ε4 genotype on regional brain metabolism in Alzheimer's Disease
HAL (Le Centre pour la Communication Scientifique Directe) 2023cited by 0position: last
Feature Selection to Forecast Cognitive Decline Using Multimodal Alzheimer's Disease Models
HAL (Le Centre pour la Communication Scientifique Directe) 2023cited by 0position: last
Progression models for imaging data with Longitudinal Variational Auto Encoders
HAL (Le Centre pour la Communication Scientifique Directe) 2022cited by 0position: last
Longitudinal Variational Autoencoders learn a Riemannian progression model for imaging data
HAL (Le Centre pour la Communication Scientifique Directe) 2022cited by 0position: last
Tau Protein Discrete Aggregates in Alzheimer's Disease: Neuritic Plaques and Tangles Detection and Segmentation using Computational Histopathology
HAL (Le Centre pour la Communication Scientifique Directe) 2022cited by 0position: middle
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Learning Riemannian metric for disease progression modeling
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 5position: last
Timing and order of pathological events in Alzheimer's disease: focus on the trajectory of the awareness of cognitive decline
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 0position: middle
Predicting symptom onset in Parkinson's disease with latent mixed-effect model
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 0position: middle
Machine learning spots the time to treat Huntington disease
Longitudinal self-supervision to disentangle inter-patient variability from disease progression
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 0position: last
Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications
HAL (Le Centre pour la Communication Scientifique Directe) 2020cited by 0position: last
A latent mixed-effects model for longitudinal categorical data in Parkinson disease
HAL (Le Centre pour la Communication Scientifique Directe) 2020cited by 0position: last
Modeling the progression of Parkinson's Disease: comparison of subjects with and without Sleep Disorders
INRIA a CCSD electronic archive server 2020cited by 0position: last
Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects
Learning disease progression models with longitudinal data and missing values
HAL (Le Centre pour la Communication Scientifique Directe) 2019cited by 0position: last
Trends in cerebral organisation in Upper Palaeolithic and recent humans.
HAL (Le Centre pour la Communication Scientifique Directe) 2019cited by 0position: middle
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort
A Fanning Scheme for the Parallel Transport along Geodesics on Riemannian Manifolds
FLAIR MR Image Synthesis By Using 3D Fully Convolutional Networks for Multiple Sclerosis
HAL (Le Centre pour la Communication Scientifique Directe) 2018cited by 9position: middle
NODDI Highlights Promising New Markers In Presymptomatic C9orf72 Carriers
HAL (Le Centre pour la Communication Scientifique Directe) 2018cited by 0position: middle
Learning Riemannian geometry for mixed-effect models using deep generative networks.
HAL (Le Centre pour la Communication Scientifique Directe) 2018cited by 0position: last
Using diffusion MRI for classification and prediction of Alzheimer's Disease: a reproducible study
HAL (Le Centre pour la Communication Scientifique Directe) 2018cited by 0position: middle
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms
arXiv (Cornell University) 2018cited by 0position: last
Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease
Morphometry of anatomical shape complexes with dense deformations and sparse parameters
Geodesic regression of image and shape data for improved modeling of 4D trajectories