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PARIETAL - 2015
PARIETAL - 2015
Project-Team Parietal
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Parietal
Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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Bibliography

Major publications by the team in recent years
  • 1D. Bzdok, M. Eickenberg, O. Grisel, B. Thirion, G. Varoquaux.

    Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data, in: Neural Information Processing Systems, December 2015.

    https://hal.archives-ouvertes.fr/hal-01211248
  • 2N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    Variable density sampling with continuous trajectories. Application to MRI, in: SIAM Journal of Imaging Sciences, 2014, vol. 7, no 4, pp. 1962–1992.

    https://hal.inria.fr/hal-00908486
  • 3B. Da Mota, V. Fritsch, G. Varoquaux, T. Banaschewski, G. J. Barker, A. L. W. Bokde, U. Bromberg, P. J. Conrod, J. Gallinat, H. Garavan, J.-L. Martinot, F. Nees, T. Paus, Z. Pausova, M. Rietschel, M. N. Smolka, A. Ströhle, V. Frouin, J.-B. Poline, B. Thirion.

    Randomized parcellation based inference, in: NeuroImage, November 2013, pp. 203 - 215, Digitéo (HiDiNim project and ICoGeN project). [ DOI : 10.1016/j.neuroimage.2013.11.012 ]

    http://hal.inria.fr/hal-00915243
  • 4M. Eickenberg, E. Dohmatob, B. Thirion, G. Varoquaux.

    Total Variation meets Sparsity: statistical learning with segmenting penalties, in: Medical Image Computing and Computer Aided Intervention (MICCAI), München, Germany, Proceedings of MICCAI 2015, October 2015.

    https://hal.inria.fr/hal-01170619
  • 5B. Ng, G. Varoquaux, J.-B. Poline, M. D. Greicius, B. Thirion.

    Transport on Riemannian Manifold for Connectivity-based Brain Decoding, in: IEEE Transactions on Medical Imaging, 2015, vol. PP, no 99, 9 p. [ DOI : 10.1109/TMI.2015.2463723 ]

    https://hal.inria.fr/hal-01185200
  • 6F. Pedregosa, M. Eickenberg, P. Ciuciu, B. Thirion, A. Gramfort.

    Data-driven HRF estimation for encoding and decoding models, in: NeuroImage, November 2014, pp. 209–220.

    https://hal.inria.fr/hal-00952554
  • 7Y. Schwartz, B. Thirion, G. Varoquaux.

    Mapping cognitive ontologies to and from the brain, in: NIPS (Neural Information Processing Systems), United States, November 2013.

    http://hal.inria.fr/hal-00904763
  • 8G. Varoquaux, A. Gramfort, F. Pedregosa, V. Michel, B. Thirion.

    Multi-subject dictionary learning to segment an atlas of brain spontaneous activity, in: Information Processing in Medical Imaging, Kaufbeuren, Germany, Lecture Notes in Computer Science, Springer, July 2011, vol. 6801, pp. 562-573. [ DOI : 10.1007/978-3-642-22092-0_46 ]

    http://hal.inria.fr/inria-00588898/en
  • 9G. Varoquaux, A. Gramfort, B. Thirion.

    Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering, in: International Conference on Machine Learning, Edimbourg, United Kingdom, L. John, P. Joelle (editors), Andrew McCallum, June 2012.

    http://hal.inria.fr/hal-00705192
  • 10G. Varoquaux, Y. Schwartz, P. Pinel, B. Thirion.

    Cohort-level brain mapping: learning cognitive atoms to single out specialized regions, in: IPMI - Information Processing in Medical Imaging - 2013, Asilomar, United States, W. M. Wells, S. Joshi, K. M. Pohl (editors), Springer, July 2013, vol. 7917, pp. 438-449. [ DOI : 10.1007/978-3-642-38868-2_37 ]

    http://hal.inria.fr/hal-00841502
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 14E. Belilovsky, A. Argyriou, G. Varoquaux, M. B. Blaschko.

    Convex relaxations of penalties for sparse correlated variables with bounded total variation, in: Machine Learning, June 2015, pp. 1-21. [ DOI : 10.1007/s10994-015-5511-2 ]

    https://hal.inria.fr/hal-01167861
  • 15S. Bludau, D. Bzdok, O. Gruber, N. Kohn, V. Riedl, C. Sorg, N. Palomero-Gallagher, M. Veronika, F. Hoffstaedter, K. Amunts, B. Simon.

    Medial Prefrontal Aberrations in Major Depressive Disorder Revealed by Cytoarchitectonically Informed Voxel-Based Morphometry, in: American journal of psychiatry, December 2015. [ DOI : 10.1176/appi.ajp.2015.15030349 ]

    https://hal.archives-ouvertes.fr/hal-01236100
  • 16S. Eickhoff, B. Thirion, G. Varoquaux, D. Bzdok.

    Connectivity-Based Parcellation: Critique and Implications, in: Human Brain Mapping, January 2016, 22 p. [ DOI : 10.1002/hbm.22933 ]

    https://hal.archives-ouvertes.fr/hal-01184563
  • 17K. J. Gorgolewski, G. Varoquaux, G. Rivera, Y. Schwartz, V. V. Sochat, S. S. Ghosh, C. Maumet, T. E. Nichols, J.-B. Poline, T. Yarkoni, D. S. Margulies, R. A. Poldrack.

    NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain, in: NeuroImage, April 2015, 3 p, [Epub ahead of print]. [ DOI : 10.1016/j.neuroimage.2015.04.016 ]

    http://www.hal.inserm.fr/inserm-01148969
  • 18K. J. Gorgolewski, G. Varoquaux, G. Rivera, Y. Schwarz, S. S. Ghosh, C. Maumet, V. V. Sochat, T. E. Nichols, R. A. Poldrack, J.-B. Poline, T. Yarkoni, D. S. Margulies.

    NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain, in: Frontiers in Neuroinformatics, April 2015, vol. 9, no 8. [ DOI : 10.3389/fninf.2015.00008 ]

    http://www.hal.inserm.fr/inserm-01134573
  • 19B. Ng, G. Varoquaux, J.-B. Poline, M. D. Greicius, B. Thirion.

    Transport on Riemannian Manifold for Connectivity-based Brain Decoding, in: IEEE Transactions on Medical Imaging, 2015, vol. PP, no 99, 9 p. [ DOI : 10.1109/TMI.2015.2463723 ]

    https://hal.inria.fr/hal-01185200
  • 20D. Papadopoulos Orfanos, V. Michel, Y. Schwartz, P. Pinel, A. Moreno, D. Le Bihan, V. Frouin.

    The Brainomics/Localizer database, in: NeuroImage, October 2015. [ DOI : 10.1016/j.neuroimage.2015.09.052 ]

    https://hal-cea.archives-ouvertes.fr/cea-01213448
  • 21F. Pedregosa, M. Eickenberg, P. Ciuciu, B. Thirion, A. Gramfort.

    Data-driven HRF estimation for encoding and decoding models, in: NeuroImage, January 2015, pp. 209–220.

    https://hal.inria.fr/hal-00952554

Invited Conferences

International Conferences with Proceedings

  • 23M. Albughdadi, L. Chaari, F. Forbes, J.-Y. Tourneret, P. Ciuciu.

    Multi-subject joint parcellation detection estimation in functional MRI, in: 13th IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, April 2016.

    https://hal.inria.fr/hal-01261982
  • 24N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    Comment représenter une image avec un spaghetti ?, in: GRETSI, Lyon, France, 25 ème actes du colloque GRETSI, September 2015.

    https://hal.inria.fr/hal-01255315
  • 25F. Feng, M. Kowalski.

    An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation, in: Eusipco 2015, Nice, France, August 2015.

    https://hal.archives-ouvertes.fr/hal-01199620
  • 26F. Forbes, A. Frau-Pascual, P. Ciuciu.

    Méthode d'approximation variationnelle pour l'analyse de données d'IRM fonctionnelle acquise par Arterial Spin Labelling, in: GRETSI, Lyon, France, September 2015.

    https://hal.archives-ouvertes.fr/hal-01254176
  • 27A. Frau-Pascual, F. Forbes, P. Ciuciu.

    Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis, in: 18th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, Munich, Germany, N. Navab, J. Hornegger, W. M. Wells III, A. F. Frangi (editors), Springer, October 2015, vol. 9349, pp. 85-92, ISBN 978-3-319-24552-2. [ DOI : 10.1007/978-3-319-24553-9_11 ]

    https://hal.archives-ouvertes.fr/hal-01249018
  • 28A. Frau-Pascual, F. Forbes, P. Ciuciu.

    Physiological models comparison for the analysis of ASL FMRI data, in: 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, New York, United States, IEEE, April 2015, pp. 1348-1351. [ DOI : 10.1109/ISBI.2015.7164125 ]

    https://hal.archives-ouvertes.fr/hal-01249014
  • 29A. Frau-Pascual, F. Forbes, P. Ciuciu.

    Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data, in: 2015 International Workshop on Pattern Recognition in NeuroImaging, Stanford, CA, United States, IEEE, June 2015, pp. 57-60. [ DOI : 10.1109/PRNI.2015.12 ]

    https://hal.archives-ouvertes.fr/hal-01249015
  • 30M. Kowalski, A. Gramfort.

    Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise, in: Eusipco 2015, Nice, France, August 2015.

    https://hal.archives-ouvertes.fr/hal-01199635
  • 31C. Laroche, M. Kowalski, H. PAPADOPOULOS, G. Richard.

    A structured nonnegative matrix factorization for source separation, in: Eusipco 2015 - European Signal Processing Conference, Nice, France, August 2015.

    https://hal.archives-ouvertes.fr/hal-01199631
  • 32C. Laroche, M. Kowalski, H. PAPADOPOULOS, G. Richard.

    Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio, in: Gretsi 2015, Lyon, France, September 2015.

    https://hal.archives-ouvertes.fr/hal-01199648
  • 33H. Pellé, P. Ciuciu, M. Rahim, E. Dohmatob, P. Abry, V. Van Wassenhove.

    Multivariate Hurst Exponent Estimation in FMRI. Application to Brain Decoding of Perceptual Learning, in: 13th IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, April 2016.

    https://hal.inria.fr/hal-01261976
  • 34P. Weiss, N. Chauffert, C. Boyer, J. Kahn, P. Ciuciu.

    Sur la génération de schémas d'échantillonnage compressé en IRM, in: GRETSI, Lyon, France, 25 ème actes du colloque GRETSI, Patrice Abry and Paulo Gonçalves, September 2015, 4 p.

    https://hal.inria.fr/hal-01255325

National Conferences with Proceedings

  • 35P. Ciuciu, N. Zilber, P. Abry, V. Van Wassenhove.

    La convergence de l'activité neurale vers des attracteurs multifractals localisés prédit la capacité d'apprentissage, in: GRETSI, Lyon, France, 25 ème actes du colloque GRETSI, September 2015.

    https://hal.inria.fr/hal-01255289
  • 36F. Feng, M. Kowalski.

    Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation, in: Gretsi 2015, Lyon, France, September 2015.

    https://hal.archives-ouvertes.fr/hal-01199645
  • 37M. Kowalski, A. Gramfort.

    Problèmes inverses avec dictionnaires temps-fréquences en présence de bruit Gaussien non blanc, in: Gretsi 2015, Lyon, France, September 2015.

    https://hal.archives-ouvertes.fr/hal-01199641

Conferences without Proceedings

  • 38N. Chauffert, P. Weiss, M. Boucher, S. Mériaux, P. Ciuciu.

    Variable density sampling based on physically plausible gradient waveform. Application to 3D MRI angiography, in: IEEE International Symposium on Biomedical Imaging (ISBI), New-York, United States, April 2015.

    https://hal.inria.fr/hal-01119578
  • 39E. Dohmatob, M. Eickenberg, B. Thirion, G. Varoquaux.

    Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening, in: PRNI, Stanford, United States, June 2015.

    https://hal.inria.fr/hal-01147731
  • 40M. Eickenberg, E. Dohmatob, B. Thirion, G. Varoquaux.

    Total Variation meets Sparsity: statistical learning with segmenting penalties, in: Medical Image Computing and Computer Aided Intervention (MICCAI), München, Germany, October 2015.

    https://hal.inria.fr/hal-01170619
  • 41L. Estève.

    Big data in practice: the example of nilearn for mining brain imaging data, in: Scipy 2015, Austin, Texas, United States, July 2015.

    https://hal.archives-ouvertes.fr/hal-01207106
  • 42A. Hoyos-Idrobo, Y. Schwartz, G. Varoquaux, B. Thirion.

    Improving sparse recovery on structured images with bagged clustering, in: International Workshop On Pattern Recognition In Neuroimaging (PRNI), 2015, Palo alto, United States, June 2015.

    https://hal.archives-ouvertes.fr/hal-01174335
  • 43B. Ng, J. Baptiste Poline, B. Thirion, M. Greicius.

    Bootstrapped Permutation Test for Multiresponse Inference on Brain Behavior Associations, in: Information Processing in Medical Imaging 2015, Sabhal Mor Ostaig, Isle of Skye, United Kingdom, S. Ourselin, D. C. Alexander, C.-F. Westin, M. J. Cardoso (editors), Lecture Notes in Computer Science, Springer, June 2015, vol. 9123, 12 p.

    https://hal.inria.fr/hal-01185206
  • 44M. Rahim, B. Thirion, A. Abraham, M. Eickenberg, E. Dohmatob, C. Comtat, G. Varoquaux.

    Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer's Disease, in: Medical Image Computing and Computer Assisted Intervention, Munich, Germany, October 2015.

    https://hal.archives-ouvertes.fr/hal-01174636
  • 45B. Thirion, A. Hoyos-Idrobo, J. Kahn, G. Varoquaux.

    Fast clustering for scalable statistical analysis on structured images, in: ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Lille, France, Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, July 2015.

    https://hal.inria.fr/hal-01229023
  • 46B. Thirion, F. Pedregosa, M. Eickenberg, G. Varoquaux.

    Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis, in: ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Lille, France, Bertrand Thirion, Lars Kai Hansen, Sanmi Koyejo, July 2015.

    https://hal.inria.fr/hal-01187297
  • 47G. Varoquaux, M. Eickenberg, E. Dohmatob, B. Thirion.

    FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging, in: Colloque GRETSI, Lyon, France, P. Gonçalves, P. Abry, September 2015.

    https://hal.inria.fr/hal-01247388

Scientific Books (or Scientific Book chapters)

  • 48P. Ciuciu, F. Forbes, T. Vincent, L. Chaari.

    Joint Detection-Estimation in Functional MRI, in: Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, J.-F. Giovannelli, J. Idier (editors), John Wiley and Sons, 2015, pp. 169-200.

    https://hal.archives-ouvertes.fr/hal-01254177
  • 49X. Pennec, P. Fillard.

    Statistical Computing on Non-Linear Spaces for Computational Anatomy, in: Handbook of Biomedical Imaging: Methodologies and Clinical Research, N. Paragios, J. Duncan, N. Ayache (editors), Springer, 2015, pp. 147-168. [ DOI : 10.1007/978-0-387-09749-7_8 ]

    https://hal.inria.fr/inria-00616201

Scientific Popularization

  • 50D. Bzdok, M. Eickenberg, O. Grisel, B. Thirion, G. Varoquaux.

    Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data, in: Neural Information Processing Systems, December 2015.

    https://hal.archives-ouvertes.fr/hal-01211248
  • 51G. Varoquaux, E. Gouillart, O. Vahtras, V. Haenel, N. P. Rougier, R. Gommers, F. Pedregosa, Z. Jędrzejewski-Szmek, P. Virtanen, C. Combelles, D. Pinte, R. Cimrman, A. Espaze, A. Chauve, C. Burns.

    Scipy Lecture Notes, Zenodo, 2015. [ DOI : 10.5281/zenodo.31736 ]

    https://hal.inria.fr/hal-01206546

Other Publications

  • 52E. Belilovsky, G. Varoquaux, M. B. Blaschko.

    Hypothesis Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity, December 2015, working paper or preprint.

    https://hal.inria.fr/hal-01248844
  • 53L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.

    Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework, November 2015, Submitted to IEEE Transactions on Medical Imaging. [ DOI : 10.1007/978-3-642-33454-2_23 ]

    https://hal.archives-ouvertes.fr/hal-01228007
  • 54L. Chaari, S. Badillo, T. Vincent, G. Dehaene-Lambertz, F. Forbes, P. Ciuciu.

    Subject-level Joint Parcellation-Detection-Estimation in fMRI, January 2016, working paper or preprint.

    https://hal.inria.fr/hal-01255465
  • 55N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    A projection algorithm on measures sets, March 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01188069
  • 56N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.

    A projection method on measures sets, March 2015, working paper or preprint.

    https://hal.inria.fr/hal-01133398
  • 57N. Chauffert, P. Weiss, J. Kahn, P. Ciuciu.

    A projection algorithm for gradient waveforms design in Magnetic Resonance Imaging, December 2015, In revision to IEEE Transaction on Medical Imaging.

    https://hal.inria.fr/hal-01255336
  • 58E. Dohmatob.

    In theory, You crack under pressure!, July 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01179903
  • 59E. Dohmatob, M. Eickenberg, B. Thirion, G. Varoquaux.

    SpaceNet: Multivariate brain decoding and segmentation, June 2015, OHBM, Poster.

    https://hal.inria.fr/hal-01187230
  • 60M. Kowalski, A. Meynard, H.-t. Wu.

    Convex Optimization approach to signals with fast varying instantaneous frequency, September 2015, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-01199615
  • 61F. Pedregosa, F. Bach, A. Gramfort.

    On the Consistency of Ordinal Regression Methods, September 2015, working paper or preprint.

    https://hal.inria.fr/hal-01054942
References in notes
  • 62S. Moeller, E. Yacoub, C. A. Olman, E. Auerbach, J. Strupp, N. Harel, K. Uğurbil.

    Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI, in: Magn Reson Med, May 2010, vol. 63, no 5, pp. 1144–1153.

    http://dx.doi.org/10.1002/mrm.22361


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