Manon Ansart - Postdoctoral researcher at ETS Montréal
Olivier Colliot
Journal articles3 documents
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⟩
Baptiste Couvy-Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau-Sutre, Adam Wild, et al.. Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge. Frontiers in Psychiatry, Frontiers, 2020, 11, ⟨10.3389/fpsyt.2020.593336⟩. ⟨hal-03136463⟩
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⟩
Conference papers3 documents
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⟩