Manon Ansart - Postdoctoral researcher at ETS Montréal

Manon Ansart, Stéphane Epelbaum, Giulia Bassignana, Alexandre Bône, Simona Bottani, et al.. Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review. Medical Image Analysis, Elsevier, 2021, 67, pp.101848. ⟨10.1016/j.media.2020.101848⟩. ⟨hal-02337815v2⟩

Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, et al.. Reduction of recruitment costs in preclinical AD trials. Validation of automatic pre-screening algorithm for brain amyloidosis. Statistical Methods in Medical Research, SAGE Publications, 2019, pp.096228021882303. ⟨10.1177/0962280218823036⟩. ⟨hal-01964942v2⟩

Manon Ansart, Ninon Burgos, Olivier Colliot, Didier Dormont, Stanley Durrleman. Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients. OHBM 2019 - Organization for Human Brain Mapping Conference, Jun 2019, Rome, Italy. ⟨hal-02098427v2⟩

Manon Ansart, Stéphane Epelbaum, Olivier Colliot, Didier Dormont, Bruno Dubois, et al.. Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trials. Clinical Trials for Alzheimer's Disease, Nov 2017, Boston, United States. pp.295. ⟨hal-02098434v2⟩

Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, et al.. Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials. Multimodal Learning for Clinical Decision Support, Sep 2017, Quebec City, Canada. ⟨hal-01578422⟩