Number of documents

5

Manon Ansart - Phd student at ARAMIS Lab (Inserm, Sorbonne University, CNRS, Inria)


Journal articles1 document

  • 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 papers4 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-02098427⟩
  • Manon Ansart, Igor Koval, Anne Bertrand, Didier Dormont, Stanley Durrleman. Design of a decision support system for predicting the progression of Alzheimer’s disease. Alzheimer's Association International Conference, Jul 2018, Chicago, United States. pp.P433, ⟨10.1016/j.jalz.2018.06.371⟩. ⟨hal-01988912⟩
  • 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⟩
  • 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⟩