All papers authored by Gaël Varoquaux
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Gaël Varoquaux ,
Manuel Wiesenfarth,
Ziv R. Yaniv ,
Minu Dietlinde Tizabi ,
Michael Baumgartner ,
Matthias Eisenmann,
Doreen Heckmann-Nötzel,
A. Emre Kavur,
Ali Emre Kavur ,
Tim Rädsch ,
Carole H. Sudre,
Laura Acion
and 70 other authors
Understanding metric-related pitfalls in image analysis validation
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Annika Reinke ,
Patrick Godau ,
Minu D. Tizabi,
Florian Buettner,
Evangelia Christodoulou,
Ben Glocker ,
Fabian Isensee,
Jens Kleesiek,
Michal Kozubek ,
Mauricio Reyes,
Michael A. Riegler ,
Manuel Wiesenfarth,
A. Emre Kavur,
A. Emre Kavur
and 62 other authors
Metrics reloaded: recommendations for image analysis validation
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Guillaume Lemaître,
Anita Beggiato,
David Germanaud,
Monique Elmaleh,
Alban Bethegnies,
Laurent Bonnasse-Gahot,
Weidong Cai,
Joris van den Bossche,
Stanislas Chambon,
Freddy Cliquet,
Ayoub Ghriss,
Nicolas Guigui,
Amicie de Pierrefeu
and 9 other authors
Insights from an autism imaging biomarker challenge: promises and threats to biomarker discovery
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Gaël Varoquaux ,
Marine Le Morvan ,
Julie Josse ,
Jean-Baptiste Poline
Benchmarking missing-values approaches for predictive models on health databases
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Elizabeth Levitis ,
Selim Melvin Atay,
Rémi Gau ,
Stephan Heunis ,
Elizabeth DuPre ,
Katherine L. Bottenhorn ,
Tristan Glatard ,
Kirstie Jane Whitaker ,
Gregory Kiar ,
Aki Nikolaidis ,
Eva Alonso Ortiz,
Eva Alonso-Ortiz ,
Matteo Mancini ,
Stefan Appelhoff
and 106 other authors
Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
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Jonathan Smallwood,
Daniel S. Margulies,
Michel Thiebaut de Schotten ,
Henrik Walter ,
Mert R. Sabuncu,
Avram J. Holmes,
Alexandre Gramfort,
Gaël Varoquaux ,
Bertrand Thirion,
Danilo Bzdok
Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants
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Gaël Varoquaux ,
Gabriel Rivera,
Yannick Schwartz,
Vanessa V. Sochat ,
Satrajit S. Ghosh,
Camille Maumet,
Thomas E. Nichols,
Jean-Baptiste Poline,
Tal Yarkoni,
Daniel S. Margulies,
Russell A. Poldrack
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Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
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Matthew Blaschko
Convex relaxations of penalties for sparse correlated variables with bounded total variation
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Gaël Varoquaux ,
Tobias Banaschewski,
Gareth J. Barker ,
Arun L. W. Bokde,
Rüdiger Brühl,
Brigitte Butzek,
Patricia Conrod,
Herta Flor,
Hugh Garavan,
Hervé Lemaitre ,
Karl Mann,
Frauke Nees
and 6 other authors
Robust regression for large-scale neuroimaging studies
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Valentin Haenel,
Emmanuelle Gouillart,
Zbigniew Jędrzejewski-Szmek,
Ralf Gommers,
Olav Vahtras,
Fabian Pedregosa,
Pierre de Buyl,
Nicolas P. Rougier ,
Gert-Ludwig Ingold,
Pauli Virtanen,
Akihiro Uchida,
Christophe Combelles,
Nicolas Pettiaux,
Robert Cimrman
and 18 other authors
scipy-lecture-notes: Release 2015.2
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Karla L. Miller,
Christian F. Beckmann
Group-PCA for very large fMRI datasets
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Gaël Varoquaux ,
Gabriel Rivera ,
Yannick Schwartz ,
Yannick Schwarz,
Satrajit S. Ghosh ,
Camille Maumet ,
Vanessa V. Sochat ,
Thomas E. Nichols ,
Russell A. Poldrack ,
Jean-Baptiste Poline ,
Tal Yarkoni ,
Daniel S. Margulies
Download from dx.doi.org
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Elvis Dohmatob,
Jean-Baptiste Poline
Which fMRI clustering gives good brain parcellations?
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Benchmarking solvers for TV-ℓ1 least-squares and logistic regression in brain imaging
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Goetz Brasche,
Patricia J. Conrod,
Hervé Lemaitre ,
Tomáš Paus,
Marcella Rietschel,
Vincent Frouin,
Jean-Baptiste Poline,
Gabriel Antoniu,
Bertrand Thirion
Machine Learning Patterns for Neuroimaging-Genetic Studies in the Cloud
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Machine learning for neuroimaging with scikit-learn
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Deriving a multi-subject functional-connectivity atlas to inform connectome estimation
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Olivier Grisel,
Cyril Poupon,
Philippe Pinel
Principal Component Regression predicts functional responses across individuals
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Jean-Baptiste Poline,
Michael Greicius,
Bertrand Thirion
Transport on Riemannian Manifold for Functional Connectivity-based Classification
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