Bibliography

Major publications by the team in recent years

1P. Fillard, C. Poupon, J.-F. Mangin.

A Novel Global Tractography Framework based on an Adaptive Spin Glass Model, in: Proc. 12th MICCAI, 2009.

ftp://static.lnao.fr/lnao/static/papers/Fillard-MICCAI09.pdf
2V. Fritsch, G. Varoquaux, B. Thyreau, J.-B. Poline, B. Thirion.

Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators, in: Medical Image Analysis, May 2012, vol. 16, p. 1359-1370. [ DOI : 10.1016/j.media.2012.05.002 ]

http://hal.inria.fr/hal-00701225
3R. Jenatton, A. Gramfort, V. Michel, G. Obozinski, E. Eger, F. Bach, B. Thirion.

Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity, in: SIAM Journal on Imaging Sciences, July 2012, vol. 5, n^o 3, p. 835-856. [ DOI : 10.1137/110832380 ]

http://hal.inria.fr/inria-00589785
4A. 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, n^o 5934, p. 1583–1585.
5V. Michel, A. Gramfort, G. Varoquaux, E. Eger, B. Thirion.

Total variation regularization for fMRI-based prediction of behaviour., in: IEEE Transactions on Medical Imaging, February 2011, vol. 30, n^o 7, p. 1328 - 1340. [ DOI : 10.1109/TMI.2011.2113378 ]

http://hal.inria.fr/inria-00563468/en
6G. Varoquaux, F. Baronnet, A. Kleinschmidt, P. Fillard, B. Thirion.

Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling, in: Medical Image Computing and Computer Added Intervention, Chine Beijing, Springer, Sep 2010.

http://hal.inria.fr/inria-00512417
7G. 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, p. 562-573. [ DOI : 10.1007/978-3-642-22092-0_46 ]

http://hal.inria.fr/inria-00588898/en
8G. 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.

http://hal.inria.fr/inria-00512451
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

Publications of the year

Articles in International Peer-Reviewed Journals

10G. Antoniu, A. Costan, B. Da Mota, B. Thirion, R. Tudoran.

A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain, in: ERCIM News, April 2012, p. 21-22.

http://hal.inria.fr/hal-00684384
11V. Fritsch, G. Varoquaux, B. Thyreau, J.-B. Poline, B. Thirion.

Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Covariance Estimators, in: Medical Image Analysis, May 2012, vol. 16, p. 1359-1370. [ DOI : 10.1016/j.media.2012.05.002 ]

http://hal.inria.fr/hal-00701225
12E. Gouillart, M.-J. Toplis, J. Grynberg, M.-H. Chopinet, E. Sondergard, L. Salvo, M. Suéry, M. Di Michiel, G. Varoquaux.

In Situ Synchrotron Microtomography Reveals Multiple Reaction Pathways During Soda-Lime Glass Synthesis, in: Journal of the American Ceramic Society, 2012, vol. 95, n^o 5, p. 1504-1507. [ DOI : 10.1111/j.1551-2916.2012.05151.x ]

http://hal.inria.fr/hal-00705955
13A. Gramfort, M. Kowalski, M. Hämäläinen.

Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods, in: Physics in Medicine and Biology, March 2012, vol. 57, n^o 7, p. 1937-1961. [ DOI : 10.1088/0031-9155/57/7/1937 ]

http://hal.inria.fr/hal-00690774
14P. Guevara, D. Duclap, C. Poupon, L. Marrakchi-Kacem, P. Fillard, D. Le Bihan, M. Leboyer, J. Houenou, J.-F. Mangin.

Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas., in: NeuroImage, March 2012, p. 1083-99. [ DOI : 10.1016/j.neuroimage.2012.02.071 ]

http://hal.inria.fr/hal-00700800
15R. Jenatton, A. Gramfort, V. Michel, G. Obozinski, E. Eger, F. Bach, B. Thirion.

Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity, in: SIAM Journal on Imaging Sciences, July 2012, vol. 5, n^o 3, p. 835-856. [ DOI : 10.1137/110832380 ]

http://hal.inria.fr/inria-00589785
16A. Tucholka, V. Fritsch, J.-B. Poline, B. Thirion.

An empirical comparison of surface-based and volume-based group studies in neuroimaging, in: NeuroImage, June 2012, p. 1443-53. [ DOI : 10.1016/j.neuroimage.2012.06.019 ]

http://hal.inria.fr/hal-00723437
17G. Varoquaux, A. Gramfort, J.-B. Poline, B. Thirion.

Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?, in: Journal of Physiology - Paris, January 2012, p. 212-221. [ DOI : 10.1016/j.jphysparis.2012.01.001 ]

http://hal.inria.fr/hal-00665340

International Conferences with Proceedings

18B. Da Mota, M. Eickenberg, S. Laguitton, V. Frouin, G. Varoquaux, J.-B. Poline, B. Thirion.

A MapReduce Approach for Ridge Regression in Neuroimaging-Genetic Studies, in: 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, Nice, France, October 2012.

http://hal.inria.fr/hal-00730385
19B. Da Mota, V. Frouin, E. Duchesnay, S. Laguitton, G. Varoquaux, J.-B. Poline, B. Thirion.

A fast computational framework for genome-wide association studies with neuroimaging data, in: 20th International Conference on Computational Statistics (COMPSTAT 2012), Limassol, Cyprus, 2012.

http://hal.inria.fr/hal-00720265
20M. Eickenberg, A. Gramfort, B. Thirion.

Multilayer Scattering Image Analysis Fits fMRI Activity in Visual Areas, in: International Workshop on Pattern Recognition in NeuroImaging, London, United Kingdom, July 2012.

http://hal.inria.fr/hal-00704528
21V. Fritsch, G. Varoquaux, J.-B. Poline, B. Thirion.

Non-parametric Density Modeling and Outlier Detection in Medical Imaging Datasets, in: Machine Learning in Medical Imaging - Miccai 2012 workshop, Nice, France, F. Wang, D. Shen, P. Yan, K. Suzuki (editors), October 2012, p. 207-214.

http://hal.inria.fr/hal-00738438
22A. Gramfort, C. Pallier, G. Varoquaux, B. Thirion.

Decoding Visual Percepts Induced by Word Reading with fMRI, in: Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on, Londres, United Kingdom, July 2012, p. 13-16. [ DOI : 10.1109/PRNI.2012.20 ]

http://hal.inria.fr/hal-00730768
23A. Gramfort, C. Poupon, M. Descoteaux.

Sparse DSI: Learning DSI structure for denoising and fast imaging, in: MICCAI, Nice, France, Springer, October 2012.

http://hal.inria.fr/hal-00723897
24N. Lepore, F. Yepes, Y. Lao, A. Panigraphy, R. Cheschin, S. Ravichandran, M. D. Nelson, P. Fillard.

Template-Based Tractography for Clinical Neonatal Diffusion Imaging Data, in: Template-Based Tractography for Clinical Neonatal Diffusion Imaging Data, San Francisco CA, United States, SPIE, January 2012.

http://hal.inria.fr/hal-00675337
25B. Ng, V. Siless, G. Varoquaux, J.-B. Poline, B. Thirion, R. Abugharbieh.

Connectivity-informed Sparse Classifiers for fMRI Brain Decoding, in: Pattern Recognition in Neuroimaging, London, United Kingdom, Christos Davatzikos, Moritz Grosse-Wentrup, Janaina Mourao-Miranda, Dimitri Van De Ville, July 2012.

http://hal.inria.fr/hal-00726656
26B. Ng, G. Varoquaux, J.-B. Poline, B. Thirion.

A Novel Sparse Graphical Approach for Multimodal Brain Connectivity Inference, in: Medical Image Computing and Computer Assisted Intervention, Nice, France, October 2012.

http://hal.inria.fr/hal-00741631
27F. Pedregosa, A. Gramfort, G. Varoquaux, E. Cauvet, C. Pallier, B. Thirion.

Learning to rank from medical imaging data, in: MLMI 2012 - 3rd International Workshop on Machine Learning in Medical Imaging, Nice, France, Inria, July 2012.

http://hal.inria.fr/hal-00717990
28F. Pedregosa, A. Gramfort, G. Varoquaux, B. Thirion, C. Pallier, E. Cauvet.

Improved brain pattern recovery through ranking approaches, in: PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, London, United Kingdom, July 2012.

http://hal.inria.fr/hal-00717954
29Y. Schwartz, G. Varoquaux, C. Pallier, P. Pinel, J.-B. Poline, B. Thirion.

Improving accuracy and power with transfer learning using a meta-analytic database, in: MICCAI, Nice, France, October 2012, p. 1-8.

http://hal.inria.fr/hal-00734911
30Y. Schwartz, G. Varoquaux, B. Thirion.

On spatial selectivity and prediction across conditions with fMRI, in: PRNI 2012 : 2nd International Workshop on Pattern Recognition in NeuroImaging, London, United Kingdom, July 2012, p. 53-56.

http://hal.inria.fr/hal-00728765
31V. Siless, J. Glaunès, P. Guevara, J.-F. Mangin, C. Poupon, D. Le Bihan, B. Thirion, P. Fillard.

Joint T1 and Brain Fiber Log-Demons Registration Using Currents to Model Geometry, in: MICCAI, Nice, France, France, October 2012.

http://hal.inria.fr/hal-00723367
32G. 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

References in notes

33K. Jimura, R. A. Poldrack.

Analyses of regional-average activation and multivoxel pattern information tell complementary stories, in: Neuropsychologia, 2012, vol. 50, 544 p.

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