| Predicting the Progression of Mild Cognitive Impairment Using Machine Learning: A Systematic, Quantitative and Critical Review M Ansart, S Epelbaum, G Bassignana, A Bône, S Bottani, T Cattai, ... Medical Image Analysis 67, 101848, 2021 | 81 | 2021 |
| The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ... arXiv preprint arXiv:2002.03419, 2020 | 52 | 2020 |
| Identifying health conditions associated with Alzheimer's disease up to 15 years before diagnosis: an agnostic study of French and British health records T Nedelec, B Couvy-Duchesne, F Monnet, T Daly, M Ansart, L Gantzer, ... The Lancet Digital Health 4 (3), e169-e178, 2022 | 39 | 2022 |
| Reduction of recruitment costs in preclinical AD trials: validation of automatic pre-screening algorithm for brain amyloidosis M Ansart, S Epelbaum, G Gagliardi, O Colliot, D Dormont, B Dubois, ... Statistical methods in medical research 29 (1), 151-164, 2020 | 37 | 2020 |
| Ensemble learning of convolutional neural network, support vector machine, and best linear unbiased predictor for brain age prediction: Aramis contribution to the predictive … B Couvy-Duchesne, J Faouzi, B Martin, E Thibeau–Sutre, A Wild, ... Frontiers in Psychiatry 11, 593336, 2020 | 33 | 2020 |
| A machine learning approach to screen for preclinical Alzheimer's disease S Gaubert, M Houot, F Raimondo, M Ansart, MC Corsi, L Naccache, ... Neurobiology of Aging 105, 205-216, 2021 | 25 | 2021 |
| Prediction of amyloidosis from neuropsychological and MRI data for cost effective inclusion of pre-symptomatic subjects in clinical trials M Ansart, S Epelbaum, G Gagliardi, O Colliot, D Dormont, B Dubois, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 5 | 2017 |
| Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies A Jacq, G Tarris, A Jaugey, M Paindavoine, E Maréchal, P Bard, ... Nephrology Dialysis Transplantation 38 (12), 2786-2798, 2023 | 3 | 2023 |
| Data-driven identification of health conditions associated with incident Alzheimer’s disease dementia risk: a 15 years follow-up cohort from electronic health records in France … T Nedelec, B Couvy-Duchesne, F Monnet, T Daly, M Ansart, L Gantzer, ... medRxiv, 2021.06. 07.21258454, 2021 | 3 | 2021 |
| Changes in the use of psychotropic drugs during the course of Alzheimer's disease: A large-scale longitudinal study of French medical records M Ansart, S Epelbaum, M Houot, T Nedelec, B Lekens, L Gantzer, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 7 (1 …, 2021 | 2 | 2021 |
| Design of data driven decision support systems for the early detection of subjects at risk to develop Alzheimer’s disease M Ansart Sorbonne Université, 2019 | 1 | 2019 |
| Recognition of intraglomerular histological features with deep learning in protocol transplant biopsies and their association with kidney function and prognosis I Farhat, E Maréchal, D Calmo, M Ansart, M Paindavoine, P Bard, G Tarris, ... Clinical Kidney Journal 17 (2), sfae019, 2024 | | 2024 |
| Effets de l’expertise dans la détection et l’analyse de défauts dans le domaine de la maintenance de matériel industriel complexe issu d’un secteur à risque M Gouthéraud, JM Boucheix, V Drai-Zerbib, A Carlini, M Ansart, ... Livre/Conférence Actes du colloque Paris, 5-7 Juillet 2023, IRBA, PARIS …, 2023 | | 2023 |
| Statistical shape model of the spine fitting study: impact of clipping the latent representation M Ansart, T Cresson, B Aubert, JA de Guise, C Vázquez Medical Imaging 2022: Image Processing 12032, 277-285, 2022 | | 2022 |
| Prediagnostic comorbidities of Alzheimer’s disease: fifteen years of primary care follow-up in France and the United Kingdom T Nedelec, B Couvy-Duchesne, F Monnet, M Ansart, B Lekens, L Gantzer, ... 2021 Alzheimer's Association International Conference, 2021 | | 2021 |
| Prediction of future cognitive scores and dementia onset in Mild Cognitive Impairment patients M Ansart, N Burgos, O Colliot, D Dormont, S Durrleman Organization for Human Brain Mapping Conference, 2019 | | 2019 |
| DESIGN OF A DECISION SUPPORT SYSTEM FOR PREDICTING THE PROGRESSION OF ALZHEIMER’S DISEASE M Ansart, I Koval, A Bertrand, D Dormont, S Durrleman Alzheimer's & Dementia: The Journal of the Alzheimer's Association 14 (7), P433, 2018 | | 2018 |
| Selection of amyloid positive pre-symptomatic subjects using automatic analysis of neuropsychological and MRI data for cost effective inclusion procedures in clinical trials M Ansart, S Epelbaum, O Colliot, D Dormont, B Dubois, H Hampel, ... Clinical Trials for Alzheimer's Disease, 2017 | | 2017 |
Stanley DurrlemanInria, Paris Brain Institute (ICM)Verified email at inria.fr
