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ORCIDIgor Koval
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2020 – today
- 2021
[j1]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, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman:
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Anal. 67: 101848 (2021)
2010 – 2019
- 2019
- [c2]Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman:
Riemannian Geometry Learning for Disease Progression Modelling. IPMI 2019: 542-553 - [i2]Igor Koval, Stéphanie Allassonnière, Stanley Durrleman:
Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects. CoRR abs/1904.02921 (2019) - 2017
- [c1]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks. MICCAI (1) 2017: 451-459 - [i1]Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier, Michael Bacci, Olivier Colliot, Stéphanie Allassonnière, Stanley Durrleman:
Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks. CoRR abs/1709.08491 (2017)
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