Raphaël Couronné

According to our database, Raphaël Couronné authored at least 6 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Progression models for Parkinson's Disease. (Modélisation de la progression de la maladie de Parkinson).

Raphaël Couronné

PhD thesis, 2021

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, Adam Wild, Ninon Burgos, Didier Dormont, Olivier Colliot, Stanley Durrleman

Medical Image Anal., 2021

Longitudinal Self-supervision to Disentangle Inter-patient Variability from Disease Progression.

Raphaël Couronné, Paul Vernhet, Stanley Durrleman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Learning Disease Progression Models With Longitudinal Data and Missing Values.

Raphaël Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Riemannian Geometry Learning for Disease Progression Modelling.

Maxime Louis, Raphaël Couronné, Igor Koval, Benjamin Charlier, Stanley Durrleman

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Random forest versus logistic regression: a large-scale benchmark experiment.

Raphaël Couronné, Philipp Probst, Anne-Laure Boulesteix

BMC Bioinform., 2018