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Nombre de documents

112


Article dans une revue46 documents

  • Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, et al.. Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Computational Biology, Public Library of Science, 2016, <10.1371/journal.pcbi.1004994>. <hal-01338307>
  • Simon Eickhoff, Bertrand Thirion, Gaël Varoquaux, Danilo Bzdok. Connectivity-Based Parcellation: Critique and Implications. Human Brain Mapping, Wiley, 2016, pp.22. <10.1002/hbm.22933>. <hal-01184563>
  • Michael Eickenberg, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Seeing it all: Convolutional network layers map the function of the human visual system. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.10.001>. <hal-01389809>
  • Krzysztof Gorgolewski, Tibor Auer, Vince Calhoun, Cameron Craddock, Samir Das, et al.. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Scientific Data , Nature Publishing Group, 2016, 3, pp.160044. <10.1038/sdata.2016.44>. <inserm-01345616>
  • Alexandre Abraham, Michael Milham, Adriana Di Martino, R. Cameron Craddock, Dimitris Samaras, et al.. Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.10.045>. <hal-01398867>
  • Danilo Bzdok, Gaël Varoquaux, Bertrand Thirion. Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-sample Generalization. Educational and Psychological Measurement, SAGE Publications, 2016. <hal-01338313>
  • Gaël Varoquaux, Pradeep Reddy Raamana, Denis Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, et al.. Assessing and tuning brain decoders: cross-validation, caveats, and guidelines. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.10.038>. <hal-01332785v2>
  • Andrés Hoyos-Idrobo, Gaël Varoquaux, Jonas Kahn, Bertrand Thirion. Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016. <hal-01366651>
  • Franziskus Liem, Gaël Varoquaux, Jana Kynast, Frauke Beyer, Shahrzad Kharabian Masouleh, et al.. Predicting brain-age from multimodal imaging data captures cognitive impairment. NeuroImage, Elsevier, 2016, <10.1016/j.neuroimage.2016.11.005>. <hal-01403005>
  • Mehdi Rahim, Bertrand Thirion, Claude Comtat, Gaël Varoquaux. Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2016, 10 (7), pp.1204 - 1213. <10.1109/JSTSP.2016.2600400>. <hal-01353728>
  • Krzysztof Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwartz, Vanessa Sochat, et al.. NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain. NeuroImage, Elsevier, 2015, pp.3. <10.1016/j.neuroimage.2015.04.016>. <inserm-01148969>
  • Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew Blaschko. Convex relaxations of penalties for sparse correlated variables with bounded total variation. Machine Learning, Springer Verlag, 2015, pp.1-21. <10.1007/s10994-015-5511-2>. <hal-01167861>
  • Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Michael D Greicius, Bertrand Thirion. Transport on Riemannian Manifold for Connectivity-based Brain Decoding. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2015, PP (99), pp.9. <http://ieeexplore.ieee.org/Xplore/home.jsp>. <10.1109/TMI.2015.2463723>. <hal-01185200>
  • Krzysztof Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwarz, Satrajit Ghosh, et al.. NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain. Frontiers in Neuroinformatics, Frontiers, 2015, 9 (8), <10.3389/fninf.2015.00008>. <inserm-01134573v2>
  • Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux. Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. Neural Information Processing Systems, 2015. <hal-01211248>
  • Anna-Clare Milazzo, Bernard Ng, Heidi Jiang, William Shirer, Gael Varoquaux, et al.. Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.. Cerebral Cortex, Oxford University Press (OUP), 2014, pp.12. <hal-01094759>
  • Benoit Da Mota, Radu Tudoran, Alexandru Costan, Gaël Varoquaux, Goetz Brasche, et al.. Machine Learning Patterns for Neuroimaging-Genetic Studies in the Cloud. Frontiers in Neuroinformatics, Frontiers, 2014, Recent advances and the future generation of neuroinformatics infrastructure, 8, <10.3389/fninf.2014.00031>. <hal-01057325>
  • Bertrand Thirion, Gaël Varoquaux, Elvis Dohmatob, Jean-Baptiste Poline. Which fMRI clustering gives good brain parcellations?. Frontiers in Neuroscience, Frontiers, 2014, 8 (167), pp.13. <http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00167/pdf>. <10.3389/fnins.2014.00167>. <hal-01015172>
  • Gael Varoquaux, Bertrand Thirion. How machine learning is shaping cognitive neuroimaging. GigaScience, BioMed Central, 2014, 3, pp.28. <10.1186/2047-217X-3-28>. <hal-01094737>
  • Christophe Pradal, Gaël Varoquaux, Hans Peter Langtangen. Publishing scientific software matters. Journal of Computational Science, Elsevier, 2013, 4 (5), pp.311 - 312. <10.1016/j.jocs.2013.08.001>. <hal-00858663>
  • Lixia Tian, Yazhuo Kong, Juejing Ren, Gaël Varoquaux, Yufeng Zang, et al.. Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition. PLoS ONE, Public Library of Science, 2013, <10.1371/journal.pone.0066572>. <hal-00856513>
  • Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Muller, et al.. Machine Learning for Neuroimaging with Scikit-Learn. Frontiers in Neuroscience, Frontiers, 2013, pp.15. <10.3389/fninf.2014.00014>. <hal-01093971>
  • Gaël Varoquaux, R. Cameron Craddock. Learning and comparing functional connectomes across subjects. NeuroImage, Elsevier, 2013, 80, pp.405-415. <10.1016/j.neuroimage.2013.04.007>. <hal-00812911>
  • Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, David Sharp, Christian Ledig, et al.. A framework for inter-subject prediction of functional connectivity from structural networks. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2013, epub ahead of print, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6575192&tag=1>. <10.1109/TMI.2013.2276916>. <hal-00852072>
  • Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Tobias Banaschewski, Gareth J. Barker, et al.. Randomized parcellation based inference.. NeuroImage, Elsevier, 2013, epub ahead of print. <10.1016/j.neuroimage.2013.11.012>. <hal-00915243>
  • Marie-Laure Grillon, Catherine Oppenheim, Gaël Varoquaux, Frédérique Charbonneau, Anne-Dominique Devauchelle, et al.. Hyperfrontality and hypoconnectivity during refreshing in schizophrenia.. Psychiatry Research: Neuroimaging, Elsevier, 2012, epub ahead of print. <10.1016/j.pscychresns.2012.09.001>. <hal-00753225>
  • Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?. Journal of Physiology - Paris, Elsevier, 2012, 106, pp.212-221. <10.1016/j.jphysparis.2012.01.001>. <hal-00665340v2>
  • Emmanuelle Gouillart, Michael-J. Toplis, Julien Grynberg, Marie-Hélène Chopinet, Elin Sondergard, et al.. In Situ Synchrotron Microtomography Reveals Multiple Reaction Pathways During Soda-Lime Glass Synthesis. Journal of the American Ceramic Society, Wiley, 2012, 95 (5), pp.1504-1507. <10.1111/j.1551-2916.2012.05151.x>. <hal-00705955>
  • Cameron Neylon, Jan Aerts, C Titus Brown, Simon J Coles, Les Hatton, et al.. Changing computational research. The challenges ahead.. Source Code for Biology and Medicine, BioMed Central, 2012, 7 (2), pp.2. <10.1186/1751-0473-7-2>. <hal-00856484>
  • Virgile Fritsch, Gaël Varoquaux, Benjamin Thyreau, Jean-Baptiste Poline, Bertrand Thirion. Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators. Medical Image Analysis, Elsevier, 2012, 16, pp.1359-1370. <10.1016/j.media.2012.05.002>. <hal-00701225>
  • Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, et al.. PyXNAT: XNAT in Python. Frontiers in Neuroinformatics, Frontiers, 2012, 6 (12), pp.1-14. <10.3389/fninf.2012.00012>. <hal-00782339>
  • P. Ciuciu, G. Varoquaux, P. Abry, S. Sadaghiani, A. Kleinschmidt. Scale-Free and Multifractal Time Dynamics of fMRI Signals during Rest and Task.. Frontiers in Physiology, Frontiers, 2012, 3 (1), pp.186. <http://www.frontiersin.org/Fractal_Physiology/10.3389/fphys.2012.00186/abstract>. <10.3389/fphys.2012.00186>. <hal-00852175>
  • Stefan Van Der Walt, S. Chris Colbert, Gaël Varoquaux. The NumPy array: a structure for efficient numerical computation. Computing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2011, 13 (2), pp.22-30. <10.1109/MCSE.2011.37>. <inria-00564007>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, et al.. A supervised clustering approach for fMRI-based inference of brain states. Pattern Recognition, Elsevier, 2011, epub ahead of print. <10.1016/j.patcog.2011.04.006>. <inria-00589201>
  • Prabhu Ramachandran, Gaël Varoquaux. Mayavi: 3D visualization of scientific data. COMPUTING IN SCIENCE & ENGINEERING, IEEE, 2011, 13 (2), pp.40-51. <10.1109/MCSE.2011.35>. <inria-00528985>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Bertrand Thirion. Total variation regularization for fMRI-based prediction of behaviour.. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2011, 30 (7), pp.1328 - 1340. <10.1109/TMI.2011.2113378>. <inria-00563468>
  • Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, et al.. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Journal of Machine Learning Research, 2011. <hal-00650905v2>
  • Gaël Varoquaux, Sepideh Sadaghiani, Philippe Pinel, Andreas Kleinschmidt, Jean-Baptiste Poline, et al.. A group model for stable multi-subject ICA on fMRI datasets.. NeuroImage, Elsevier, 2010, 51 (1), pp.288-99. <10.1016/j.neuroimage.2010.02.010>. <hal-00489507>
  • Gaël Varoquaux, Robert Nyman, Rémi Geiger, Patrick Cheinet, Arnaud Landragin, et al.. How to estimate the differential acceleration in a two-species atom interferometer to test the equivalence principle. New Journal of Physics, Institute of Physics: Open Access Journals, 2009, 11, pp.113010. <10.1088/1367-2630/11/11/113010>. <hal-00423845>
  • Gaël Varoquaux. Python comme langage scientifique. Linux Magazine, Editions Diamond, 2009, Explorer les richesses du langage Python, 40, <http://www.unixgarden.com/index.php/gnu-linux-magazine-hs/python-comme-langage-scientifique>. <hal-00776672>
  • Guillaume Stern, Baptiste Battelier, Rémi Geiger, Gaël Varoquaux, André Villing, et al.. Light-pulse atom interferometry in microgravity. The European Physical Journal D, EDP Sciences, 2009, 53 (3), pp.353. <10.1140/epjd/e2009-00150-5>. <hal-00369287>
  • Gaël Varoquaux. Agile Computer Control of a Complex Experiment. Computing in Science and Engineering, Institute of Electrical and Electronics Engineers, 2008, 10 (2), pp.55-59. <10.1109/MCSE.2008.47>. <hal-00502504>
  • Eric Varoquaux, Gaël Varoquaux. Sagnac effect in superfluid liquids. Uspekhi Fizicheskikh Nauk, 2008, 51 (2), pp.205-208. <10.1070/PU2008v051n02ABEH006425>. <hal-00502604>
  • Jean-Philippe Brantut, Jean-François Clément, Martin Robert-De-Saint-Vincent, Gaël Varoquaux, Robert Nyman, et al.. Light-shift tomography in an optical-dipole trap for neutral atoms. Physical Review A, American Physical Society, 2008, 78, pp.031401 (R). <10.1103/PhysRevA.78.031401>. <hal-00303321>
  • Robert Nyman, Gaël Varoquaux, Brice Villier, Delphine Sacchet, Frédéric Moron, et al.. Tapered-amplified AR-coated laser diodes for Potassium and Rubidium atomic-physics experiments. Review of Scientific Instruments, American Institute of Physics, 2006, 77, pp.033105. <10.1063/1.2186809>. <hal-00014931>
  • Robert Nyman, Gaël Varoquaux, Fabien Lienhart, Damien Chambon, Salah Boussen, et al.. I.C.E.: a Transportable Atomic Inertial Sensor for Test in Microgravity. Applied Physics B - Laser and Optic, Springer Verlag, 2006, 84, pp.673-681. <10.1007/s00340-006-2395-7>. <hal-00023609>

Communication dans un congrès61 documents

  • Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion. Social-sparsity brain decoders: faster spatial sparsity. Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy. 2016, <http://prni2016.wix.com/prni2016>. <hal-01334551>
  • Elvis Dohmatob, Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Learning brain regions via large-scale online structured sparse dictionary-learning. Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain. 2016. <hal-01369134v3>
  • Kamalaker Dadi, Alexandre Abraham, Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux. Comparing functional connectivity based predictive models across datasets. PRNI 2016: 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy. <hal-01319131>
  • Andrés Hoyos-Idrobo, Gaël Varoquaux, Bertrand Thirion. Fast brain decoding with random sampling and random projections. PRNI 2016: the 6th International Workshop on Pattern Recognition in Neuroimaging, Jun 2016, Trento, Italy. <hal-01313814>
  • Arthur Mensch, Gaël Varoquaux, Bertrand Thirion. Compressed Online Dictionary Learning for Fast Resting-State fMRI Decomposition. International Symposium on Biomedical Imaging (ISBI 2016) "From Nano to Macro", Apr 2016, Prague, Czech Republic. IEEE, pp.1282-1285, 2016, 13th International Symposium on Biomedical Imaging (ISBI). <http://ieeexplore.ieee.org/document/7493501/>. <10.1109/ISBI.2016.7493501>. <hal-01271033v2>
  • Eugene Belilovsky, Gaël Varoquaux, Matthew B. Blaschko. Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity. Neural Information Processing Systems (NIPS) 2016, Dec 2016, Barcelona, Spain. <hal-01248844v4>
  • Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux. Dictionary Learning for Massive Matrix Factorization. International Conference on Machine Learning, Jun 2016, New York, United States. JMLR Workshop and Conference Proceedings (48), pp.1737-1746, 2016, Proceedings of the 33rd Internation Conference on Machine Learning. <http://jmlr.org/proceedings/papers/v48/mensch16.html>. <hal-01308934v2>
  • Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. Local Q-Linear Convergence and Finite-time Active Set Identification of ADMM on a Class of Penalized Regression Problems. ICASSP, International Conference on Acoustics, Speach, and Signal Processing, Mar 2016, http://icassp2016.org/default.asp, China. ICASSP, International Conference on Acoustics, Speach, and Signal Processing, ICASSP, International Conference on Acoustics, Speach, and Signal Processing. <hal-01265372>
  • Mehdi Rahim, Bertrand Thirion, Alexandre Abraham, Michael Eickenberg, Elvis Dohmatob, et al.. Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease. Medical Image Computing and Computer Assisted Intervention, Oct 2015, Munich, Germany. <hal-01174636>
  • Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gaël Varoquaux. Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening. PRNI, Jun 2015, Stanford, United States. <hal-01147731>
  • Andrés Hoyos-Idrobo, Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion. Improving sparse recovery on structured images with bagged clustering. International Workshop On Pattern Recognition In Neuroimaging (PRNI), 2015, Jun 2015, Palo alto, United States. <hal-01174335>
  • Michael Eickenberg, Elvis Dohmatob, Bertrand Thirion, Gaël Varoquaux. Total Variation meets Sparsity: statistical learning with segmenting penalties. Medical Image Computing and Computer Aided Intervention (MICCAI), Oct 2015, München, Germany. 2015, Proceedings of MICCAI 2015. <www.miccai.org>. <hal-01170619>
  • Bertrand Thirion, Andrés Hoyos-Idrobo, Jonas Kahn, Gael Varoquaux. Fast clustering for scalable statistical analysis on structured images. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Jul 2015, Lille, France. <hal-01229023v2>
  • Bertrand Thirion, Fabian Pedregosa, Michael Eickenberg, Gaël Varoquaux. Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis.. ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Jul 2015, Lille, France. 2015. <hal-01187297>
  • Gaël Varoquaux, Michael Eickenberg, Elvis Dohmatob, Bertand Thirion. FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging. Colloque GRETSI, Sep 2015, Lyon, France. Gretsi, 2015, <http://www.gretsi.fr/colloque2015/myGretsi/programme.php>. <hal-01247388>
  • Elvis Dohmatob, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging. Pattern Recoginition in Neuroimaging (PRNI), Jun 2014, Tübingen, Germany. IEEE, 2014, <IEEE>. <hal-00991743>
  • Bernard Ng, Martin Dressler, Gaël Varoquaux, Jean-Baptiste Poline, Michael Greicius, et al.. Transport on Riemannian Manifold for Functional Connectivity-based Classification. MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2014, Boston, United States. Springer, 2014. <hal-01058521>
  • Ronald Phlypo, Bertrand Thirion, Gaël Varoquaux. Deriving a multi-subject functional-connectivity atlas to inform connectome estimation. Golland, Polina; Hata, Nobuhiko; Barillot, Christian; Hornegger, Joachim; Howe, Robert. Medical Image Computing and Computer-Assisted Intervention, Sep 2014, Boston, United States. Springer International Publishing, 8675, pp.185-192, 2014, <10.1007/978-3-319-10443-0_24>. <hal-00991124v4>
  • Bertrand Thirion, Gaël Varoquaux, Olivier Grisel, Cyril Poupon, Philippe Pinel. Principal Component Regression predicts functional responses across individuals. MICCAI, Sep 2014, Boston, United States. Springer, 2014. <hal-01015173>
  • Gaël Varoquaux, Yannick Schwartz, Philippe Pinel, Bertrand Thirion. Cohort-level brain mapping: learning cognitive atoms to single out specialized regions. William M. Wells and Sarang Joshi and Kilian M. Pohl. IPMI - Information Processing in Medical Imaging - 2013, Jun 2013, Asilomar, United States. Springer, 7917, pp.438-449, 2013, LNCS. <http://link.springer.com/chapter/10.1007/978-3-642-38868-2_37>. <10.1007/978-3-642-38868-2_37>. <hal-00841502>
  • Viviana Siless, Sergio Medina, Gaël Varoquaux, Bertrand Thirion. A Comparison of Metrics and Algorithms for Fiber Clustering. Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. 2013. <hal-00858115>
  • Yannick Schwartz, Bertrand Thirion, Gaël Varoquaux. Mapping cognitive ontologies to and from the brain. NIPS (Neural Information Processing Systems), Dec 2013, United States. 2013. <hal-00904763v2>
  • Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gaël Varoquaux. Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan. Springer, 2013. <hal-00853242>
  • Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, et al.. API design for machine learning software: experiences from the scikit-learn project. European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. 2013. <hal-00856511>
  • Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Identifying predictive regions from fMRI with TV-L1 prior. Pattern Recognition in Neuroimaging (PRNI), Jun 2013, Philadelphia, United States. IEEE, 2013. <hal-00839984>
  • Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Vincent Frouin, Jean-Baptiste Poline, et al.. Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan. 2013. <hal-00832616>
  • Virgile Fritsch, Benoit Da Mota, Gaël Varoquaux, Vincent Frouin, Eva Loth, et al.. Robust Group-Level Inference in Neuroimaging Genetic Studies. Pattern Recognition in Neuroimaging, Jun 2013, Philadelphie, United States. 2013. <hal-00833953>
  • Solveig Badillo, Gaël Varoquaux, Philippe Ciuciu. Hemodynamic estimation based on Consensus Clustering. PRNI 2013 -- 3rd International Workshop on Pattern Recognition in NeuroImaging, Jun 2013, Philadelphia, United States. 2013. <hal-00854621>
  • Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation. Yoshinobu Sato and Christian Barillot and Nassir Navab. MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Sep 2013, Nagoya, Japan. Springer, 2013. <hal-00853108>
  • Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation. Information Processing in Medical Imaging, Jun 2013, Asilomar, United States. 2013. <hal-00842607>
  • Virgile Fritsch, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets. Fei Wang and Dinggang Shen and Pingkun Yan and Kenji Suzuki. Machine Learning in Medical Imaging - Miccai 2012 workshop, Oct 2012, Nice, France. pp.207-214, 2012. <hal-00738438>
  • Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion. Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. John, Langford and Joelle, Pineau. International Conference on Machine Learning, Jun 2012, Edimbourg, United Kingdom. 2012. <hal-00705192>
  • Benoit Da Mota, Vincent Frouin, Edouard Duchesnay, Soizic Laguitton, Gaël Varoquaux, et al.. A fast computational framework for genome-wide association studies with neuroimaging data. 20th International Conference on Computational Statistics (COMPSTAT 2012), Aug 2012, Limassol, Cyprus. 2012. <hal-00720265>
  • Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Improved brain pattern recovery through ranking approaches. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. 2012. <hal-00717954>
  • Yannick Schwartz, Gaël Varoquaux, Christophe Pallier, Philippe Pinel, Jean-Baptiste Poline, et al.. Improving accuracy and power with transfer learning using a meta-analytic database. MICCAI, Oct 2012, Nice, France. pp.1-8, 2012. <hal-00734911v2>
  • Fabian Pedregosa, Elodie Cauvet, Gaël Varoquaux, Christophe Pallier, Bertrand Thirion, et al.. Learning to rank from medical imaging data. Third International Workshop on Machine Learning in Medical Imaging - MLMI 2012, Oct 2012, Nice, France. 2012. <hal-00717990v2>
  • Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion. On spatial selectivity and prediction across conditions with fMRI. PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, Jul 2012, London, United Kingdom. pp.53-56, 2012. <hal-00728765>
  • Bernard Ng, Viviana Siless, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion, et al.. Connectivity-informed Sparse Classifiers for fMRI Brain Decoding. Pattern Recognition in Neuroimaging, Jul 2012, London, United Kingdom. 2012. <hal-00726656>
  • Benoit Da Mota, Michael Eickenberg, Soizic Laguitton, Vincent Frouin, Gaël Varoquaux, et al.. A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies. DCICTIA-MICCAI - Data- and Compute-Intensive Clinical and Translational Imaging Applications in conjonction with the 15th International Conference on Medical Image Computing and Computer Assisted Intervention - 2012, Oct 2012, Nice, France. 2012. <hal-00730385>
  • Alexandre Gramfort, Christophe Pallier, Gaël Varoquaux, Bertrand Thirion. Decoding Visual Percepts Induced by Word Reading with fMRI. Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Jul 2012, Londres, United Kingdom. pp.13-16, 2012, <http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6295916&tag=1>. <10.1109/PRNI.2012.20>. <hal-00730768>
  • Bernard Ng, Gaël Varoquaux, Jean-Baptiste Poline, Bertrand Thirion. A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference. Medical Image Computing and Computer Assisted Intervention, Oct 2012, Nice, France. 2012. <hal-00741631>
  • Philippe Ciuciu, Gaël Varoquaux, Patrice Abry, Moty Almog. MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI. IEEE International Symposium on Biomedical Imaging, Mar 2011, Chicago, United States. paper ID 1544, 2011. <cea-00558870>
  • Gaël Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, Bertrand Thirion. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. Information Processing in Medical Imaging, Jul 2011, Kaufbeuren, Germany. Springer, 6801, pp.562-573, 2011, Lecture Notes in Computer Science; Information Processing in Medical Imaging. <10.1007/978-3-642-22092-0_46>. <inria-00588898v2>
  • Fani Deligianni, Gaël Varoquaux, Bertrand Thirion, Emma Robinson, David Sharp, et al.. A probabilistic framework to infer brain functional connectivity from anatomical connections. Information Processing in Medical Imaging, Jul 2011, Kaufbeuren, Germany. Springer, 6801, pp.296-307, 2011, Information Processing in Medical Imaging. <10.1007/978-3-642-22092-0_25>. <inria-00627914>
  • Bernard Ng, Abugharbieh Rafeef, Gaël Varoquaux, Jean Baptiste Poline, Bertrand Thirion. Connectivity-informed fMRI Activation Detection. Gabor Fichtinger and Anne Martel and Terry Peters. Medical Image Computing and Computed Aided Intervention, Sep 2011, Toronto, Canada. Springer-Verlag, 6892, pp.285-292, 2011, 2011; 14th International Conference, Toronto, Canada, September 18-22, 2011. <http://www.springerlink.com/content/n02708l5206857wh/>. <10.1007/978-3-642-23629-7_35>. <inria-00627523>
  • Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Beyond brain reading: randomized sparsity and clustering to simultaneously predict and identify. Springer. NIPS 2011 MLINI Workshop, Dec 2011, Granada, Spain. pp.9-16, 2011, Machine Learning and Interpretation in Neuroimaging. <10.1007/978-3-642-34713-9_2>. <hal-00704875>
  • Gaël Varoquaux, Bertrand Thirion. Statistical Learning for Resting-State fMRI: Successes and Challenges. Gearg Langs, Irina Rish, Moritz Grosse-Wentrup, Brain Murphy. Machine Learning and Interpretation in Neuroimaging, NIPS workshop, Dec 2011, Sierra Nevada, Spain. Springer, pp.172-177, 2012, <10.1007/978-3-642-34713-9_22>. <hal-00753132>
  • Vincent Michel, Alexandre Gramfort, Evelyn Eger, Gaël Varoquaux, Bertrand Thirion. A Comparative Study of Algorithms for Intra- and Inter-subjects fMRI Decoding. Georg Langs, Irina Rish, Moritz Grosse-Wentrup, Brain Murphy. MLINI - Machine Learning and Interpretation in Neuroimaging - 2011, Dec 2011, Sierra Nevada, Spain. Springer, pp.1-8, 2012, Lecture Notes in Computer Science. <10.1007/978-3-642-34713-9_1>. <hal-00753142>
  • Virgile Fritsch, Gaël Varoquaux, Thyreau Benjamin, Jean-Baptiste Poline, Bertrand Thirion. Detecting Outlying Subjects in High-Dimensional Neuroimaging Datasets with Regularized Minimum Covariance Determinant. Medical Image Computing and Computer Assisted Intervention, Sep 2011, Toronto, Canada. Springer-Verlag, Part III (LNCS 6893), pp. 264-271, 2011, 14th International Conference, Toronto, Canada, September 18-22, 2011. <http://www.springerlink.com/content/y1w41n8238341866/>. <10.1007/978-3-642-23626-6_33>. <inria-00626857>
  • Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Bertrand Thirion. Total Variation regularization enhances regression-based brain activity prediction. 1st ICPR Workshop on Brain Decoding - Pattern recognition challenges in neuroimaging - 20th International Conference on Pattern Recognition, Aug 2010, Istanbul, Turkey. IEEE Computer Society, 0, pp.9-12, 2010, <10.1109/WBD.2010.13>. <hal-00504095>
  • Gaël Varoquaux, Merlin Keller, Jean Baptiste Poline, Philippe Ciuciu, Bertrand Thirion. ICA-based sparse feature recovery from fMRI datasets. Biomedical Imaging, IEEE International Symposium on, Apr 2010, Rotterdam, Netherlands. IEEE, pp.1177, 2010. <hal-00489506>
  • Gaël Varoquaux, Flore Baronnet, Andreas Kleinschmidt, Pierre Fillard, Bertrand Thirion. Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. Dinggang Shen and Alejandro Frangi and Gabor Szekely. Medical Image Computing and Computer Added Intervention, Sep 2010, Beijing, China. Springer, 2010, Lecture Notes in Computer Science. <10.1007/978-3-642-15705-9_25>. <inria-00512417>
  • Bertrand Thirion, Gaël Varoquaux, Jean-Baptiste Poline. Accurate Definition of Brain Regions Position Through the Functional Landmark Approach. 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China. 2010. <inria-00521909>
  • Gaël Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, Bertrand Thirion. Brain covariance selection: better individual functional connectivity models using population prior. Richard Zemel and John Shawe-Taylor. Advances in Neural Information Processing Systems, Dec 2010, Vancouver, Canada. 2010, Advances in Neural Information Processing Systems. <inria-00512451v4>
  • Gaël Varoquaux, Sepideh Sadaghiani, Jean Baptiste Poline, Bertrand Thirion. CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series. Medical Image Computing and Computer Aided Intervention, Sep 2009, London, United Kingdom. pp.1, 2009. <hal-00435262>
  • Gaël Varoquaux, Stefan Van Der Walt, Jarrod Millman. Proceedings of the 8th Python in Science conference. Gaël Varoquaux; Stefan van der Walt ; Jarrod Millman. SciPy 2009: 8th Python in Science Conference, Aug 2009, Pasadena, United States. 1 (1), pp.1-78, 2009. <hal-00502607>
  • Martin Robert-De-Saint-Vincent, Alain Aspect, Thomas Bourdel, Philippe Bouyer, Gaël Varoquaux, et al.. All-optical evaporative cooling in a versatile optical-dipole trap at telecom wavelength. YAO, 2008, Florence, Italy. <hal-00637735>
  • Jean-Philippe Brantut, Gaël Varoquaux, Robert Nyman, Jean-François Clément, Martin Robert-De-Saint-Vincent, et al.. Effects of disorder in 2D. Latsis, Jan 2008, Lausanne, Switzerland. <hal-00637732>
  • Gaël Varoquaux, Travis Vaught, Jarrod Millman. Proceedings of the 7th Python in Science conference. Gaël Varoquaux; Travis Vaught ; Jarrod Millman. SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. 1 (1), pp.1-78, 2008. <hal-00502586>
  • Gaël Varoquaux, Prabhu Ramachandran. Mayavi: Making 3D Data Visualization Reusable. Gaël Varoquaux; Travis Vaught ; Jarrod Millman. SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. 1 (1), pp.51, 2008. <hal-00502548>
  • Gaël Varoquaux, Nassim Zahzam, Walid Chaibi, Jean-François Clément, Olivier Carraz, et al.. I.C.E.: An Ultra-Cold Atom Source for Long-Baseline Interferometric Inertial Sensors in Reduced Gravity. Rencontres de Moriond Gravitational Waves and Experimental Gravity, Mar 2007, La Thuile, Val d'Aosta, Italy. 2007. <hal-00147641v3>

Poster1 document

  • Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, Gael Varoquaux. SpaceNet: Multivariate brain decoding and segmentation. OHBM, Jun 2015, Honolulu, Hawaii, United States. <hal-01187230>

Document associé à des manifestations scientifiques1 document

  • Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, Gael Varoquaux. Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. Sparsity Techniques in Medical Imaging, Sep 2014, Boston, United States. pp.8. <hal-01093944>

Ouvrage (y compris édition critique et traduction)1 document

Pré-publication, Document de travail1 document

  • Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew Blaschko. Learning to Discover Graphical Model Structures. 2016. <hal-01306491v3>

Thèse1 document

  • Gaël Varoquaux. Atomic sources for long-time-of-flight interferometric inertial sensors. Atomic Physics [physics.atom-ph]. Université Paris Sud - Paris XI; Institut d'Optique, 2008. English. <tel-00265714v3>