Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. - Igor Koval; Jean-Baptiste Schiratti; Alexandre Routier; Michael Bacci; Olivier Colliot; Stéphanie Allassonnière; Stanley Durrleman (MICCAI (1), 2017)

Riemannian Geometry Learning for Disease Progression Modelling. - Maxime Louis; Raphaël Couronné; Igor Koval; Benjamin Charlier; Stanley Durrleman (IPMI, 2019)

Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. - Igor Koval; Stéphanie Allassonnière; Stanley Durrleman (CoRR, 2019)

Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. - Manon Ansart; Stéphane Epelbaum; Giulia Bassignana; Alexandre Bône; Simona Bottani; Tiziana Cattai; Raphaël Couronné; Johann Faouzi; Igor Koval; Maxime Louis; Elina Thibeau-Sutre; Junhao Wen 002; et al. (Medical Image Anal., 2021)