95 citations · 274 across the 9 of their papers we have counts for
9 papers
Neural correlates of episodic memory in the Memento cohort
Stéphane Epelbaum, Vincent Bouteloup, Jean Mangin +22
IntroductionThe free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes:…
Dynamic Modelling of Multivariate Dimensions and Their Temporal Relationships using Latent Processes: Application to Alzheimer's Disease
Bachirou O. Taddé, Hélène Jacqmin-Gadda, Jean-François Dartigues +2
Alzheimer's disease gradually affects several components including the cerebral dimension with brain atrophies, the cognitive dimension with a decline in various functions and the…
A joint model for multiple dynamic processes and clinical endpoints: application to Alzheimer's disease
Cécile Proust-Lima, Viviane Philipps, Jean-François Dartigues
As other neurodegenerative diseases, Alzheimer's disease, the most frequent dementia in the elderly, is characterized by multiple progressive impairments in the brain structure and…
Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia
Anaïs Rouanet, Pierre Joly, Jean-François Dartigues +2
Joint models are used in ageing studies to investigate the association between longitudinal markers and a time-to-event, and have been extended to multiple markers and/or competing…
Joint modelling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach
Cécile Proust-Lima, Jean-François Dartigues, Hélène Jacqmin-Gadda
Joint models initially dedicated to a single longitudinal marker and a single time-to-event need to be extended to account for the rich longitudinal data of cohort studies. Multipl…
Egocentric vision IT technologies for Alzheimer disease assessment and studies
Hugo Boujut, Vincent Buso, Guillaume Bourmaud +5
Egocentric vision technology consists in capturing the actions of persons from their own visual point of view using wearable camera sensors. We apply this new paradigm to instrumen…
Hierarchical Hidden Markov Model in Detecting Activities of Daily Living in Wearable Videos for Studies of Dementia
Svebor Karaman, Jenny Benois-Pineau, Vladislavs Dovgalecs +5
This paper presents a method for indexing activities of daily living in videos obtained from wearable cameras. In the context of dementia diagnosis by doctors, the videos are recor…
Activities of Daily Living Indexing by Hierarchical HMM for Dementia Diagnostics
Svebor Karaman, Jenny Benois-Pineau, Jean-François Dartigues +3
This paper presents a method for indexing human ac- tivities in videos captured from a wearable camera being worn by patients, for studies of progression of the dementia diseases.…
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Svebor Karaman, Jenny Benois-Pineau, Rémi Mégret +3
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitorin…