Project-Team Parietal
Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
PDF e-Pub

previous Previous | up Home

Bibliography

Major publications by the team in recent years
  • 1M. Clerc, A. Gramfort, E. Olivi, T. Papadopoulo.
    The symmetric BEM: bringing in more variables for better accuracy, in: Biomag 2010, Croatie Dubrovnik, Springer, 2010, vol. 28, pp. 109-112.
    http://hal.inria.fr/inria-00497081
  • 2B. Cottereau, J. Lorenceau, A. Gramfort, M. Clerc, B. Thirion, S. Baillet.
    Phase delays within visual cortex shape the response to steady-state visual stimulation, in: NeuroImage, Oct 2010, to appear.
    http://hal.inria.fr/inria-00526019
  • 3B. Da Mota, V. Fritsch, G. Varoquaux, T. Banaschewski, G. J. Barker, A. L. W. Bokde, U. Bromberg, P. 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, Digitéo (HiDiNim project and ICoGeN project). [ DOI : 10.1016/j.neuroimage.2013.11.012 ]
    http://hal.inria.fr/hal-00915243
  • 4S. Durrleman, P. Fillard, X. Pennec, A. Trouvé, N. Ayache.
    Registration, Atlas Estimation and Variability Analysis of White Matter Fiber Bundles Modeled as Currents, in: NeuroImage, 11 2010. [ DOI : 10.1016/j.neuroimage.2010.11.056 ]
    http://hal.inria.fr/inria-00541930/en/
  • 5V. 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, pp. 1359-1370. [ DOI : 10.1016/j.media.2012.05.002 ]
    http://hal.inria.fr/hal-00701225
  • 6A. Gramfort.
    Multi-condition M/EEG inverse modeling with sparsity assumptions: how to estimate what is common and what is specific in multiple experimental conditions, in: Biomag: International Conference on Biomagnetism, Croatie Dubrovnik, Mar 2010.
    http://hal.inria.fr/inria-00468592
  • 7A. Gramfort, R. Keriven, M. Clerc.
    Graph-Based Variability Estimation in Single-Trial Event-Related Neural Responses, in: IEEE Trans Biomed Eng, Feb 2010, pp. 1051-61.
    http://hal.inria.fr/inria-00502697
  • 8A. Gramfort, T. Papadopoulo, S. Baillet, M. Clerc.
    Tracking cortical activity from M/EEG using graph-cuts with spatiotemporal constraints, in: NeuroImage, Oct 2010, to appear.
    http://hal.inria.fr/inria-00526020
  • 9A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    An empirical evaluation of free BEM solvers for accurate M/EEG forward modeling, in: Biomag: International Conference on Biomagnetism, 2010.
  • 10A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    OpenMEEG for M/EEG forward modeling: a comparison study, Jun 2010, Type : Poster.
    http://hal.inria.fr/inria-00502745
  • 11A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    OpenMEEG: opensource software for quasistatic bioelectromagnetics, in: BioMedical Engineering OnLine, Sep 2010, vol. 9, no 1, 45 p.
    http://hal.inria.fr/inria-00523624
  • 12A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    OpenMEEG: opensource software for quasistatic bioelectromagnetics, Inria, May 2010.
    http://hal.inria.fr/inria-00467061
  • 13P. Guevara, C. Poupon, D. Rivière, Y. Cointepas, L. Marrakchi, M. Descoteaux, P. Fillard, B. Thirion, J.-F. Mangin.
    Inference of a HARDI fiber bundle atlas using a two-level clustering strategy, in: Med Image Comput Comput Assist Interv, springer, 2010, vol. 13, pp. 550-7.
    http://hal.inria.fr/inria-00541944/en/
  • 14R. 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, no 3, pp. 835-856. [ DOI : 10.1137/110832380 ]
    http://hal.inria.fr/inria-00589785
  • 15K. Jimura, R. A. Poldrack.
    Analyses of regional-average activation and multivoxel pattern information tell complementary stories, in: Neuropsychologia, 2012, vol. 50, 544 p.
  • 16A. 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.
  • 17M. Kowalski, A. Gramfort.
    A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG, in: Traitement du Signal, Sep 2010, vol. 27, no 1, pp. 51-76.
    http://hal.inria.fr/hal-00473970
  • 18S. Makni, J. Idier, T. Vincent, B. Thirion, G. Dehaene-Lambertz, P. Ciuciu.
    A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI, in: Neuroimage, Jul 2008, vol. 41, no 3, pp. 941–969.
    http://dx.doi.org/10.1016/j.neuroimage.2008.02.017
  • 19V. Michel, E. Eger, C. Keribin, J.-B. Poline, B. Thirion.
    A supervised clustering approach for extracting predictive information from brain activation images, in: Workshop on Mathematical Methods in Biomedical Image Analysis - IEEE Conference on Computer Vision and Pattern Recognition, États-Unis San Francisco, Jun 2010, 08 p.
    http://hal.inria.fr/hal-00504094
  • 20V. Michel, E. Eger, C. Keribin, B. Thirion.
    Multi-Class Sparse Bayesian Regression for Neuroimaging data analysis, in: International Workshop on Machine Learning in Medical Imaging (MLMI) In conjunction with MICCAI 2010, Chine Beijing, Sep 2010, 1 p.
    http://hal.inria.fr/hal-00505057
  • 21V. 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, no 7, pp. 1328 - 1340. [ DOI : 10.1109/TMI.2011.2113378 ]
    http://hal.inria.fr/inria-00563468/en
  • 22V. Michel, A. Gramfort, G. Varoquaux, B. Thirion.
    Total Variation regularization enhances regression-based brain activity prediction, in: 1st ICPR Workshop on Brain Decoding - Pattern recognition challenges in neuroimaging - 20th International Conference on Pattern Recognition, Turquie Istanbul, Aug 2010, 1 p.
    http://hal.inria.fr/hal-00504095
  • 23S. 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
  • 24J.-B. Poline, C. Lalanne, A. Tenenhaus, E. Duchesnay, B. Thirion, V. Frouin.
    Imaging genetics: bio-informatics and bio-statistics challenges, in: 19th International Conference on Computational Statistics, France Paris, Aug 2010.
    http://hal.inria.fr/inria-00523236
  • 25Y. 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
  • 26B. Thirion, A. Tucholka, J.-B. Poline.
    Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface, in: 19th International Conference on Computational Statistics, France Paris, Spinger Verlag, Sep 2010, pp. 565–572.
    http://hal.inria.fr/inria-00521908
  • 27B. Thirion, G. Varoquaux, J.-B. Poline.
    Accurate Definition of Brain Regions Position Through the Functional Landmark Approach, in: 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Chine Beijing, Sep 2010.
    http://hal.inria.fr/inria-00521909
  • 28G. 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
  • 29G. 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
  • 30G. 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
  • 31G. 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
  • 32G. Varoquaux, M. Keller, J.-B. Poline, P. Ciuciu, B. Thirion.
    ICA-based sparse feature recovery from fMRI datasets, in: Biomedical Imaging, IEEE International Symposium on, Pays-Bas Rotterdam, IEEE, Apr 2010, 4 p.
    http://hal.inria.fr/hal-00489506
  • 33G. Varoquaux, S. Sadaghiani, P. Pinel, A. Kleinschmidt, J.-B. Poline, B. Thirion.
    A group model for stable multi-subject ICA on fMRI datasets, in: NeuroImage, May 2010, vol. 51, no 1, pp. 288-99.
    http://hal.inria.fr/hal-00489507
  • 34G. 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
  • 35T. Vincent, L. Risser, P. Ciuciu.
    Spatially adaptive mixture modeling for analysis of FMRI time series, in: IEEE Trans Med Imaging, Apr 2010, vol. 29, no 4, pp. 1059–1074.
    http://dx.doi.org/10.1109/TMI.2010.2042064
Publications of the year

Articles in International Peer-Reviewed Journals

  • 36S. Badillo, T. Vincent, P. Ciuciu.
    Group-level impacts of within- and between-subject hemodynamic variability in fMRI, in: NeuroImage, June 2013, vol. 82C, pp. 433-448. [ DOI : 10.1016/j.neuroimage.2013.05.100 ]
    http://hal.inria.fr/hal-00854481
  • 37B. Da Mota, V. Fritsch, G. Varoquaux, T. Banaschewski, G. J. Barker, A. L. W. Bokde, U. Bromberg, P. 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, epub ahead of print. [ DOI : 10.1016/j.neuroimage.2013.11.012 ]
    http://hal.inria.fr/hal-00915243
  • 38F. Deligianni, G. Varoquaux, B. Thirion, D. Sharp, C. Ledig, R. Leech, D. Rueckert.
    A framework for inter-subject prediction of functional connectivity from structural networks, in: IEEE Transactions on Medical Imaging, August 2013. [ DOI : 10.1109/TMI.2013.2276916 ]
    http://hal.inria.fr/hal-00852072
  • 39A. Gramfort, C. Poupon, M. Descoteaux.
    Denoising and fast diffusion imaging with physically constrained sparse dictionary learning, in: Medical Image Analysis, September 2013, vol. 18, no 1, pp. 36-49. [ DOI : 10.1016/j.media.2013.08.006 ]
    http://hal.inria.fr/hal-00867372
  • 40A. Gramfort, D. Strohmeier, J. Haueisen, M. Hämäläinen, M. Kowalski.
    Time-Frequency Mixed-Norm Estimates: Sparse M/EEG imaging with non-stationary source activations, in: NeuroImage, January 2013. [ DOI : 10.1016/j.neuroimage.2012.12.051 ]
    http://hal.inria.fr/hal-00773276
  • 41E. Loth, J.-B. Poline, B. Thyreau, T. Jia, C. Tao, A. Lourdusamy, D. Stacey, A. Cattrell, S. Desrivières, B. Ruggeri, V. Fritsch, T. Banaschewski, G. J. Barker, A. L. W. Bokde, C. Büchel, F. M. Carvalho, P. J. Conrod, M. Fauth-Buehler, H. Flor, J. Gallinat, H. Garavan, A. Heinz, R. Bruehl, C. Lawrence, K. Mann, J.-L. Martinot, F. Nees, T. Paus, Z. Pausova, L. Poustka, M. Rietschel, M. Smolka, M. Struve, J. Feng, G. Schumann.
    Oxytocin Receptor Genotype Modulates Ventral Striatal Activity to Social Cues and Response to Stressful Life Events, in: Biological Psychiatry, October 2013, epub ahead of print. [ DOI : 10.1016/j.biopsych.2013.07.043 ]
    http://hal.inria.fr/hal-00876111
  • 42J.-F. Mangin, P. Fillard, Y. Cointepas, D. Le Bihan, V. Frouin, C. Poupon.
    Toward global tractography, in: NeuroImage, October 2013, vol. 80, pp. 290-6. [ DOI : 10.1016/j.neuroimage.2013.04.009 ]
    http://hal.inria.fr/hal-00856326
  • 43L. Marrakchi-Kacem, C. Delmaire, P. Guevara, F. Poupon, S. Lecomte, A. Tucholka, P. Roca, J. Yelnik, A. Durr, J.-F. Mangin, C. Poupon.
    Mapping Cortico-Striatal Connectivity onto the Cortical Surface: A New Tractography-Based Approach to Study Huntington Disease, in: PLoS ONE, 2013, vol. 8, no 2. [ DOI : 10.1371/journal.pone.0053135 ]
    http://hal.inria.fr/hal-00804579
  • 44C. Pradal, G. Varoquaux, H. P. Langtangen.
    Publishing scientific software matters, in: Journal of Computational Science, 2013, vol. 4, no 5, pp. 311 - 312. [ DOI : 10.1016/j.jocs.2013.08.001 ]
    http://hal.inria.fr/hal-00858663
  • 45L. Tian, Y. Kong, J. Ren, G. Varoquaux, Y. Zang, S. Smith.
    Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition, in: PLoS ONE, June 2013. [ DOI : 10.1371/journal.pone.0066572 ]
    http://hal.inria.fr/hal-00856513
  • 46G. Varoquaux, R. Craddock.
    Learning and comparing functional connectomes across subjects, in: NeuroImage, April 2013, epub ahead of print. [ DOI : 10.1016/j.neuroimage.2013.04.007 ]
    http://hal.inria.fr/hal-00812911

International Conferences with Proceedings

  • 47A. Abraham, E. Dohmatob, B. Thirion, D. Samaras, G. Varoquaux.
    Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning, in: MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Nagoya, Japan, Springer, September 2013.
    http://hal.inria.fr/hal-00853242
  • 48S. Badillo, G. Varoquaux, P. Ciuciu.
    Hemodynamic estimation based on Consensus Clustering, in: PRNI 2013 – 3rd International Workshop on Pattern Recognition in NeuroImaging, Philadelphia, United States, 2013.
    http://hal.inria.fr/hal-00854621
  • 49S. Badillo, T. Vincent, P. Ciuciu.
    Multi-session extension of the joint-detection framework in fMRI, in: ISBI 2013 - International Symposium on BIomedical Imaging: From Nano to Macro, San Fransisco, United States, IEEE, 2013, pp. 1512-1515. [ DOI : 10.1109/ISBI.2013.6556822 ]
    http://hal.inria.fr/hal-00854624
  • 50C. Bakhous, F. Forbes, T. Vincent, M. Dojat, P. Ciuciu.
    Variational Variable Selection To Assess Experimental Condition Relevance In Event-Related fMRI, in: ISBI 2013 - 10th IEEE International Symposium on Biomedical Imaging, San Francisco, United States, IEEE, April 2013, pp. 1508-1511. [ DOI : 10.1109/ISBI.2013.6556821 ]
    http://hal.inria.fr/hal-00859391
  • 51L. Buitinck, G. Louppe, M. Blondel, F. Pedregosa, A. Mueller, O. Grisel, V. Niculae, P. Prettenhofer, A. Gramfort, J. Grobler, R. Layton, J. Vanderplas, A. Joly, B. Holt, G. Varoquaux.
    API design for machine learning software: experiences from the scikit-learn project, in: European Conference on Machine Learning and Principles and Practices of Knowledge Discovery in Databases, Prague, Czech Republic, July 2013.
    http://hal.inria.fr/hal-00856511
  • 52N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.
    Travelling salesman-based variable density sampling, in: SampTA - 10th Conference International Conference on Sampling Theory and Applications, Bremen, Germany, July 2013, pp. 509-512.
    http://hal.inria.fr/hal-00848290
  • 53N. Chauffert, P. Ciuciu, P. Weiss.
    Variable Density Compressed Sensing In MRI. Theoretical vs Heuristic Sampling Strategies, in: ISBI - 10th International Symposium on Biomedical Imaging, San Francisco, United States, April 2013.
    http://hal.inria.fr/hal-00848271
  • 54N. Chauffert, P. Ciuciu, P. Weiss, F. Gamboa.
    From variable density sampling to continuous sampling using Markov chains, in: SampTA - 10th Conference International Conference on Sampling Theory and Applications, Bremen, Germany, July 2013, pp. 200-203.
    http://hal.inria.fr/hal-00848286
  • 55B. Da Mota, V. Fritsch, G. Varoquaux, V. Frouin, J.-B. Poline, B. Thirion.
    Enhancing the Reproducibility of Group Analysis with Randomized Brain Parcellations, in: MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Nagoya, Japan, June 2013.
    http://hal.inria.fr/hal-00832616
  • 56M. Eickenberg, F. Pedregosa, S. Mehdi, A. Gramfort, B. Thirion.
    Second order scattering descriptors predict fMRI activity due to visual textures, in: PRNI 2013 - 3nd International Workshop on Pattern Recognition in NeuroImaging, Philadelphia, United States, Conference Publishing Services, June 2013.
    http://hal.inria.fr/hal-00834928
  • 57A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu, S. Ciochina.
    A complex-valued majorize-minimize memory gradient method with application to parallel MRI, in: 21st European Signal Processing Conference (EUSIPCO 2013), Marrakech, Morocco, September 2013.
    http://hal.inria.fr/hal-00866800
  • 58V. Fritsch, B. Da Mota, G. Varoquaux, V. Frouin, E. Loth, J.-B. Poline, B. Thirion.
    Robust Group-Level Inference in Neuroimaging Genetic Studies, in: Pattern Recognition in Neuroimaging, Philadelphie, United States, May 2013.
    http://hal.inria.fr/hal-00833953
  • 59A. Gramfort, B. Thirion, G. Varoquaux.
    Identifying predictive regions from fMRI with TV-L1 prior, in: Pattern Recognition in Neuroimaging (PRNI), Philadelphia, United States, IEEE, June 2013.
    http://hal.inria.fr/hal-00839984
  • 60B. Ng, G. Varoquaux, J.-B. Poline, B. Thirion.
    A Novel Sparse Group Gaussian Graphical Model for Functional Connectivity Estimation, in: Information Processing in Medical Imaging, Asilomar, United States, June 2013.
    http://hal.inria.fr/hal-00842607
  • 61B. Ng, G. Varoquaux, J.-B. Poline, B. Thirion.
    Implications of Inconsistencies between fMRI and dMRI on Multimodal Connectivity Estimation, in: MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Nagoya, Japan, Y. Sato, C. Barillot, N. Navab (editors), Springer, September 2013.
    http://hal.inria.fr/hal-00853108
  • 62F. Pedregosa, M. Eickenberg, B. Thirion, A. Gramfort.
    HRF estimation improves sensitivity of fMRI encoding and decoding models, in: 3nd International Workshop on Pattern Recognition in NeuroImaging, Philadelphia, United States, May 2013.
    http://hal.inria.fr/hal-00821946
  • 63Y. 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
  • 64V. Siless, S. Medina, P. Fillard, B. Thirion.
    Unsupervised Fiber Bundles Registration using Weighted Measures Geometric Demons, in: Workshop on Multi Modal Brain Image Analysis, Nagoya, Japan, Springer Lecture Notes in Computer Science, September 2013.
    http://hal.inria.fr/hal-00853582
  • 65V. Siless, S. Medina, G. Varoquaux, B. Thirion.
    A Comparison of Metrics and Algorithms for Fiber Clustering, in: Pattern Recognition in NeuroImaging, Philadelphia, United States, June 2013.
    http://hal.inria.fr/hal-00858115
  • 66G. 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
  • 67T. Vincent, F. Forbes, P. Ciuciu.
    Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging, in: ICASSP 2013 - IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, IEEE, May 2013, pp. 1003-1007. [ DOI : 10.1109/ICASSP.2013.6637800 ]
    http://hal.inria.fr/hal-00859373
  • 68T. Vincent, J. Warnking, M. Villien, A. Krainik, P. Ciuciu, F. Forbes.
    Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data, in: MICCAI 2013 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, Nagoya, Japan, K. Mori, I. Sakuma, Y. Sato, C. Barillot, N. Navab (editors), Lecture Notes in Computer Science, Springer, June 2013, vol. 8150, pp. 616-623. [ DOI : 10.1007/978-3-642-40763-5_76 ]
    http://hal.inria.fr/hal-00854437
  • 69H. Xu, B. Thirion, S. Allassonnière.
    Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses, in: MICCAI - 16th International Conference on Medical Image Computing and Computer Assisted Intervention - 2013, Nagoya, Japan, Y. Sato, C. Barillot, N. Navab (editors), Springer, September 2013.
    http://hal.inria.fr/hal-00853097
  • 70N. Zilber, P. Ciuciu, P. Abry, V. Van Wassenhove.
    Learning-induced modulation of scale-free properties of brain activity measured with MEG, in: 10th IEEE International Symposium on Biomedical Imaging, San Francisco, United States, IEEE, April 2013, pp. 998-1001. [ DOI : 10.1109/ISBI.2013.6556645 ]
    http://hal.inria.fr/hal-00859389

Conferences without Proceedings

  • 71V. Michel, Y. Schwartz, P. Pinel, O. Cayrol, A. Moreno, J.-B. Poline, V. Frouin, D. Papadopoulos Orfanos.
    Brainomics: A management system for exploring and merging heterogeneous brain mapping data, in: OHBM 2013 19th Annual Meeting of the Organization for Human Brain Mapping, Seattle, United States, June 2013.
    http://hal.inria.fr/cea-00904768

Scientific Books (or Scientific Book chapters)

  • 72B. 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.
    http://hal.inria.fr/hal-00925536
  • 73X. Pennec, P. Fillard.
    Statistical Computing On Non-Linear Spaces For Computational Anatomy, in: Biomedical Image Analysis: Methodologies And Applications, N. Paragios, J. Duncan, N. Ayache (editors), Springer, 2013, To Appear.
    http://hal.inria.fr/inria-00616201

Other Publications

  • 74N. Chauffert, P. Ciuciu, J. Kahn, P. Weiss.
    Variable density sampling with continuous sampling trajectories, November 2013.
    http://hal.inria.fr/hal-00908486
  • 75S. Medina.
    Unsupervised Clustering of Neural Pathways, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina, February 2014, 67 p.
    http://hal.inria.fr/hal-00908433
References in notes
  • 76S. Makni, J. Idier, T. Vincent, B. Thirion, G. Dehaene-Lambertz, P. Ciuciu.
    A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI, in: Neuroimage, Jul 2008, vol. 41, no 3, pp. 941–969.
    http://dx.doi.org/10.1016/j.neuroimage.2008.02.017
  • 77S. 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
  • 78T. Vincent, L. Risser, P. Ciuciu.
    Spatially adaptive mixture modeling for analysis of FMRI time series, in: IEEE Trans Med Imaging, Apr 2010, vol. 29, no 4, pp. 1059–1074.
    http://dx.doi.org/10.1109/TMI.2010.2042064

previous Previous | up Home