Raphaël Couronné

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 5

Top Topics

Machine Learning

Logistic Regression

Normal Controls

Top Venues

Medical Image Anal.

Publications

Raphaël Couronné, Paul Vernhet, Stanley Durrleman
Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression. MICCAI (2) (2021)
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 (2021)
Raphaël Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman
Learning Disease Progression Models With Longitudinal Data and Missing Values. ISBI (2019)
Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman
Riemannian Geometry Learning for Disease Progression Modelling. IPMI (2019)
Raphaël Couronné, Philipp Probst, Anne-Laure Boulesteix
Random forest versus logistic regression: a large-scale benchmark experiment. BMC Bioinform. 19 (1) (2018)