Source: https://raweb.inria.fr/rapportsactivite/RA2014/parietal/bibliography.html
Timestamp: 2019-04-26 13:37:51+00:00

Document:
N. 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.
B. 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.
A. Knops, B. Thirion, E. Hubbard, V. Michel, S. Dehaene.
Recruitment of an area involved in eye movements during mental arithmetic, in: Science, Jun 2009, vol. 324, no 5934, pp. 1583–1585.
V. Michel, A. Gramfort, G. Varoquaux, E. Eger, B. Thirion.
F. 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.
Y. Schwartz, B. Thirion, G. Varoquaux.
Mapping cognitive ontologies to and from the brain, in: NIPS (Neural Information Processing Systems), United States, November 2013.
G. Varoquaux, A. Gramfort, F. Pedregosa, V. Michel, B. Thirion.
G. Varoquaux, A. Gramfort, J.-B. Poline, B. Thirion.
Brain covariance selection: better individual functional connectivity models using population prior, in: Advances in Neural Information Processing Systems, Canada Vancouver, John Lafferty, Dec 2010.
G. 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.
G. Varoquaux, Y. Schwartz, P. Pinel, B. Thirion.
Feature extraction and supervised learning on fMRI: from practice to theory, Université Pierre et Marie Curie, February 2015.
ERF and scale-free analyses of source-reconstructed MEG brain signals during a multisensory learning paradigm, Université Paris Sud - Paris XI, March 2014.
K. Amunts, M. Hawrylycz, C. Van Essen, J. van Horn., N. Harel, J.-B. Poline, F. De Martino, J. G. Bjaalie, G. Dehaene-Lambertz, S. Dehaene, P. Valdes-Sosa, B. Thirion, K. Zilles, S. Hill, M. Abrams, P. Tass, W. Vanduffel, A. Evans, S. Eickhoff.
L. Chaari, P. Ciuciu, S. Mériaux, J.-C. Pesquet.
P. Ciuciu, P. Abry, J. He.
B. Da Mota, R. Tudoran, A. Costan, G. Varoquaux, G. Brasche, P. J. Conrod, H. Lemaitre, T. Paus, M. Rietschel, V. Frouin, J.-B. Poline, G. Antoniu, B. Thirion.
A.-C. Milazzo, B. Ng, H. Jiang, W. Shirer, G. Varoquaux, J.-B. Poline, B. Thirion, M. D. Greicius.
Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm, in: Cerebral Cortex, October 2014, 12 p.
Data-driven HRF estimation for encoding and decoding models, in: NeuroImage, January 2015, pp. 209–220.
S. Takerkart, G. Auzias, B. Thirion, L. Ralaivola.
B. Thirion, G. Varoquaux, E. Dohmatob, J.-B. Poline.
T. Vincent, S. Badillo, L. Risser, L. Chaari, C. Bakhous, F. Forbes, P. Ciuciu.
H. Xu, B. Thirion, S. Allassonnière.
N. Zilber, P. Ciuciu, A. Gramfort, L. Azizi, V. Van Wassenhove.
F. Forbes, A. Frau-Pascual, T. Vincent, J. Sloboda, P. Ciuciu.
Physiologically informed Bayesian analysis of ASL fMRI data, in: Statistical Challenges in Neuroscience workshop, Warwick, United Kingdom, September 2014.
M. Albughdadi, L. Chaari, F. Forbes, J.-Y. Tourneret, P. Ciuciu.
Model Selection for Hemodynamic Brain Parcellation in fMRI, in: 22nd European Signal Processing Conference, Lisbon, Portugal, September 2014.
Y. Bekhti, N. Zilber, F. Pedregosa, P. Ciuciu, V. Van Wassenhove, A. Gramfort.
Decoding perceptual thresholds from MEG/EEG, in: Pattern Recoginition in Neuroimaging (PRNI) (2014), Tubingen, Germany, June 2014.
V. Borghesani, F. Pedregosa, E. Eger, M. Buiatti, M. Piazza.
A perceptual-to-conceptual gradient of word coding along the ventral path, in: Pattern Recognition in Neuroimaging, Tubingen, Germany, IEEE, June 2014.
E. Dohmatob, A. Gramfort, B. Thirion, G. Varoquaux.
Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging, in: Pattern Recoginition in Neuroimaging (PRNI), Tübingen, Germany, IEEE, June 2014.
A. Frau-Pascual, T. Vincent, F. Forbes, P. Ciuciu.
A. Frau-Pascual, T. Vincent, J. Sloboda, P. Ciuciu, F. Forbes.
D. Keator, S. Ghosh, C. Maumet, G. Flandin, N. Nichols, E. Thomas, G. Burns, R. Bruehl, C. Craddock, B. Frederick, K. Gorgolewski, D. Marcus, M. Hanke, C. Haselgrove, K. Helmer, A. Klein, M. Milham, R. Poldrack, F. Michel, J. Steffener, Y. Schwartz, R. Stoner, J. Turner, N. Kennedy, J.-B. Poline.
Developing and using the Neuroimaging and Data Sharing Data Model: the NIDASH Working Group, in: 20th Annual Meeting of the Organization for Human Brain Mapping, Hamburg, Germany, June 2014.
B. Ng, M. Dressler, G. Varoquaux, J.-B. Poline, M. Greicius, B. Thirion.
Transport on Riemannian Manifold for Functional Connectivity-based Classification, in: MICCAI - 17th International Conference on Medical Image Computing and Computer Assisted Intervention, Boston, United States, Springer, September 2014.
R. Phlypo, B. Thirion, G. Varoquaux.
B. Thirion, G. Varoquaux, O. Grisel, C. Poupon, P. Pinel.
Principal Component Regression predicts functional responses across individuals, in: MICCAI, Boston, United States, Springer, September 2014.
F. Yepes, F. Pedregosa, B. Thirion, Y. Wang, N. Lepore.
B. Ng, M. Toews, S. Durrleman, Y. Shi.
Shape Analysis for Brain Structures: A Review, in: Shape Analysis in Medical Image Analysis, S. Li, J. M. R. S. Tavares (editors), Lecture Notes in Computational Vision and Biomechanics, Springer, 2014, vol. 14.
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, 2014, forthcoming.
A. Abraham, E. Dohmatob, B. Thirion, D. Samaras, G. Varoquaux.
Region segmentation for sparse decompositions: better brain parcellations from rest fMRI, September 2014, 8 p, Sparsity Techniques in Medical Imaging.
N. Chauffert, P. Weiss, J. Kahn, P. Ciuciu.
Gradient waveform design for variable density sampling in Magnetic Resonance Imaging, December 2014.
Unsupervised Clustering of Neural Pathways, Universidad de Buenos Aires, February 2014, 75 p.
F. Pedregosa, F. Bach, A. Gramfort.
On the Consistency of Ordinal Regression Methods, June 2014.
S. 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.

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