Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review

M Ansart, S Epelbaum, G Bassignana, A Bône… - Medical Image …, 2021 - Elsevier
We performed a systematic review of studies focusing on the automatic prediction of the
progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a …

The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up

RV Marinescu, NP Oxtoby, AL Young, EE Bron… - arXiv preprint arXiv …, 2020 - arxiv.org
We present the findings of" The Alzheimer's Disease Prediction Of Longitudinal
Evolution"(TADPOLE) Challenge, which compared the performance of 92 algorithms from …

[PDF][PDF] Predicting the progression of mild cognitive impairment using machine learning: a systematic and quantitative review

M Ansart, S Epelbaum, G Bassignana, A Bône… - 2019 - hal.science
Context. Automatically predicting if a subject with Mild Cognitive Impairment (MCI) is going
to progress to Alzheimer's disease (AD) dementia in the coming years is a relevant question …

Design of data driven decision support systems for the early detection of subjects at risk to develop Alzheimer's disease

M Ansart - 2019 - theses.hal.science
The goal of this thesis is to design data-driven methods to identify subjects at risk to develop
Alzheimer's disease. As it is a progressive disease, subtle signs can appear several years …

Tribute to Anne Bertrand (1978–2018): Neuroradiologist, scientist, teacher and friend

D Dormont, N Ben-Eliezer, N Burgos, O Colliot… - Journal of …, 2019 - Elsevier
Anne Bertrand passed away on March 2nd 2018. She was in a touring-skiers group led by a
guide and swept by an avalanche in the French Alps. This paper is a tribute to Anne and an …