Edouard Duchesnay

Population classification based on structural morphometry of cortical sulci

Jean-Francois Mangin, Denis Rivière, Dimitri Papadopoulos-Orfanos, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Simulated Data for Linear Regression with Structured and Sparse Penalties: Introducing pylearn-simulate

Tommy Löfstedt, Vincent Guillemot, Fouad Hadj-Selem, 2014, Journal of Statistical Software.

Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI

Vincent Frouin, Clara Fischer, Tommy Löfstedt, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Continuation of Nesterov’s Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging

Tommy Löfstedt, Elvis Dohmatob, Vincent Guillemot, 2016, IEEE Transactions on Medical Imaging.

A multi-block approach in imaging genetics

Jean-Baptiste Poline, Arthur Tenenhaus, Vincent Guillemot, 2013 .

Object-based morphometry of the cerebral cortex

D. Louis Collins, Jean-Francois Mangin, Jean Régis, 2004, IEEE Transactions on Medical Imaging.

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity

Philippe Ciuciu, Tommy Löfstedt, Fouad Hadj-Selem, 2018, 2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI).