Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. - Virgile Fritsch; Gaël Varoquaux; Benjamin Thyreau; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (3), 2011)

Non-parametric Density Modeling and Outlier-Detection in Medical Imaging Datasets. - Virgile Fritsch; Gaël Varoquaux; Jean-Baptiste Poline; Bertrand Thirion (MLMI, 2012)

Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimators. - Virgile Fritsch; Gaël Varoquaux; Benjamin Thyreau; Jean-Baptiste Poline; Bertrand Thirion (Medical Image Anal., 2012)

An empirical comparison of surface-based and volume-based group studies in neuroimaging. - Alan Tucholka; Virgile Fritsch; Jean-Baptiste Poline; Bertrand Thirion (NeuroImage, 2012)

Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. - Benoit Da Mota; Virgile Fritsch; Gaël Varoquaux; Vincent Frouin; Jean-Baptiste Poline; Bertrand Thirion (MICCAI (2), 2013)

Robust Group-Level Inference in Neuroimaging Genetic Studies. - Virgile Fritsch; Benoit Da Mota; Gaël Varoquaux; Vincent Frouin; Eva Loth; Jean-Baptiste Poline; Bertrand Thirion (PRNI, 2013)

High-dimensional statistical methods for inter-subject studies in neuroimaging. (Analyse statistique de données en grande dimension : application à l'étude de la variabilité inter-individuelle en neuroimagerie). - Virgile Fritsch (2013)

Randomized parcellation based inference. - Benoit Da Mota; Virgile Fritsch; Gaël Varoquaux; Tobias Banaschewski; Gareth J. Barker; Arun L. W. Bokde; Uli Bromberg; Patricia J. Conrod; Jürgen Gallinat; Hugh Garavan; Jean-Luc Martinot; Frauke Nees; et al. (NeuroImage, 2014)

Robust regression for large-scale neuroimaging studies. - Virgile Fritsch; Benoit Da Mota; Eva Loth; Gaël Varoquaux; Tobias Banaschewski; Gareth J. Barker; Arun L. W. Bokde; Rüdiger Brühl; Brigitte Butzek; Patricia J. Conrod; Herta Flor; Hugh Garavan; et al. (NeuroImage, 2015)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2023)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexis Thual; Alisha Kodibagkar; Amadeus Kanaan; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2024)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)

nilearn. - Nilearn Contributors; Ahmad Chamma; Aina Frau-Pascual; Alex Rothberg; Alexandre Abadie; Alexandre Abraham; Alexandre Gramfort; Alexandre Savio; Alexandre Cionca; Alexandre Sayal; Alexis Thual; Alisha Kodibagkar; et al. (Zenodo, 2025)