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Bibliography

Major publications by the team in recent years
  • 1C. Ciofolo, C. Barillot.

    Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control, in: Medical Image Analysis, 2009, vol. 13, no 3, pp. 456–470.
  • 2O. Commowick, A. Akhondi-Asl, K. Warfield.

    Estimating A Reference Standard Segmentation with Spatially Varying Performance Parameters: Local MAP STAPLE, in: IEEE Transactions on Medical Imaging, August 2012, vol. 31, no 8, pp. 1593-1606. [ DOI : 10.1109/TMI.2012.2197406 ]

    http://www.hal.inserm.fr/inserm-00697775
  • 3P. Coupé, P. Hellier, C. Kervrann, C. Barillot.

    NonLocal Means-based Speckle Filtering for Ultrasound Images, in: IEEE Transactions on Image Processing, 2009.
  • 4P. Coupé, P. Yger, S. Prima, P. Hellier, C. Kervrann, C. Barillot.

    An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images, in: IEEE Transactions on Medical Imaging, April 2008, vol. 27, no 4, pp. 425-441.

    http://hal.inria.fr/inria-00332014/en/
  • 5A. Crimi, O. Commowick, A. Maarouf, J.-C. Ferré, E. Bannier, A. Tourbah, I. Berry, J.-P. Ranjeva, G. Edan, C. Barillot.

    Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning., in: PLoS ONE, 2014, vol. 9, no 4, e93024. [ DOI : 10.1371/journal.pone.0093024 ]

    https://hal.inria.fr/hal-00971524
  • 6D. García-Lorenzo, S. Prima, L. Arnold, D. Collins, C. Barillot.

    Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis, in: IEEE Transactions on Medical Imaging, August 2011, vol. 30, no 8, pp. 1455-67. [ DOI : 10.1109/TMI.2011.2114671 ]

    http://www.hal.inserm.fr/inserm-00590724
  • 7C. D. Guibert, C. Maumet, P. Jannin, J.-C. Ferré, C. Tréguier, C. Barillot, E. L. Rumeur, C. Allaire, A. Biraben.

    Abnormal functional lateralization and activity of language brain areas in typical specific language impairment (developmental dysphasia), in: Brain, 2011, vol. 134, no Pt 10, pp. 3044-3058.
  • 8C. Maumet, P. Maurel, J.-C. Ferré, B. Carsin, C. Barillot.

    Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling, in: NeuroImage, May 2013, vol. 81C, pp. 121-130. [ DOI : 10.1016/j.neuroimage.2013.04.079 ]

    http://www.hal.inserm.fr/inserm-00816852
  • 9J. Petr, J.-C. Ferré, H. Raoult, E. Bannier, J.-Y. Gauvrit, C. Barillot.

    Template-based approach for detecting motor task activation-related hyperperfusion in pulsed ASL data, in: Human Brain Mapping, March 2014, pp. 1179-89. [ DOI : 10.1002/hbm.22243 ]

    http://www.hal.inserm.fr/inserm-00800899
  • 10H. Raoult, E. Bannier, P. Maurel, C. Neyton, J.-C. Ferré, P. Schmitt, C. Barillot, J.-Y. Gauvrit.

    Hemodynamic Quantification in Brain Arteriovenous Malformations With Time-Resolved Spin-Labeled Magnetic Resonance Angiography, in: Stroke, July 2014, vol. 45, no 8, pp. 2461-4. [ DOI : 10.1161/STROKEAHA.114.006080 ]

    http://www.hal.inserm.fr/inserm-01080106
Publications of the year

Articles in International Peer-Reviewed Journals

  • 11S. Amet, V. Launay-Vacher, O. Clément, C. Frances, A. Tricotel, B. Stengel, J.-Y. Gauvrit, N. Grenier, G. Reinhardt, N. Janus, G. Choukroun, M. Laville, G. Deray.

    Incidence of nephrogenic systemic fibrosis in patients undergoing dialysis after contrast-enhanced magnetic resonance imaging with gadolinium-based contrast agents: the Prospective Fibrose Nephrogénique Systémique study, in: Investigative Radiology, January 2014, vol. 49, no 2, pp. 109-15. [ DOI : 10.1097/RLI.0000000000000000 ]

    http://www.hal.inserm.fr/inserm-01102645
  • 12A. Ascherio, K. L. Munger, R. White, K. Köchert, K. C. Simon, H. Polman, M. S. Freedman, H.-P. Hartung, D. H. Miller, X. Montalbán, G. Edan, F. Barkhof, D. Pleimes, E.-W. Radü, R. Sandbrink, L. Kappos, C. Pohl.

    Vitamin D as an early predictor of multiple sclerosis activity and progression, in: JAMA Neurology, February 2014, pp. 306-14.

    http://www.hal.inserm.fr/inserm-01103094
  • 13A. Crimi, O. Commowick, A. Maarouf, J.-C. Ferré, E. Bannier, A. Tourbah, I. Berry, J.-P. Ranjeva, G. Edan, C. Barillot.

    Predictive Value of Imaging Markers at Multiple Sclerosis Disease Onset Based on Gadolinium- and USPIO-Enhanced MRI and Machine Learning, in: PLoS ONE, 2014, vol. 9, no 4, e93024. [ DOI : 10.1371/journal.pone.0093024 ]

    https://hal.inria.fr/hal-00971524
  • 14R. Devy, P. Lehert, E. Varlan, M. Genty, G. Edan.

    Improving the quality of life of multiple sclerosis patients through coping strategies in routine medical practice, in: Journal of Pediatric Neurology, December 2014, pp. 85-90.

    http://www.hal.inserm.fr/inserm-01103102
  • 15A. Kerbrat, S. Hamonic, E. Leray, I. Tron, G. Edan, J. Yaouanq.

    Ten-year prognosis in multiple sclerosis: a better outcome in relapsing-remitting patients but not in primary progressive patients, in: European Journal of Neurology, December 2014, 8 p.

    http://www.hal.inserm.fr/inserm-01103117
  • 16B. Lubicz, J. Klisch, J.-Y. Gauvrit, I. Szikora, M. Leonardi, T. Liebig, N. P. Nuzzi, E. Boccardi, F. D. Paola, M. Holtmannspötter, E. Calgliari, V. Sychra, B. Mine, L. Pierot, W. Weber.

    WEB-DL endovascular treatment of wide-neck bifurcation aneurysms: short- and midterm results in a European study, in: American Journal of Neuroradiology, February 2014, vol. 35, no 3, pp. 432-8. [ DOI : 10.3174/ajnr.A3869 ]

    http://www.hal.inserm.fr/inserm-01102766
  • 17E. Magro, B. Sénécail, J.-C. Gentric, Z. Alavi, O. Palombi, R. Seizeur.

    Contribution of embryology in the understanding of cervical venous system anatomy within and around the transverse foramen: a review of the classical literature, in: Surgical and Radiologic Anatomy, July 2014, vol. 36, no 5, pp. 411-418. [ DOI : 10.1007/s00276-013-1206-1 ]

    http://hal.univ-brest.fr/hal-01026435
  • 18C. Maumet, P. Maurel, J.-C. Ferré, C. Barillot.

    Robust estimation of the cerebral blood flow in arterial spin labelling, in: Magnetic Resonance Imaging, June 2014, vol. 32, no 5, pp. 497 - 504. [ DOI : 10.1016/j.mri.2014.01.016 ]

    http://www.hal.inserm.fr/inserm-00942814
  • 19L. Michel, A. Salmon, C. Malrain, G. Mineur, J.-Y. Gauvrit, P. Sauleau, X. Morandi, M. Vérin, G. Edan, S. Drapier.

    An unusual cause of acute paraplegia in a 16-year-old dancer, in: Journal of Pediatric Neurology, May 2014, pp. 1210-2. [ DOI : 10.1007/s00415-014-7320-0 ]

    http://www.hal.inserm.fr/inserm-01102660
  • 20J. A. Nagtegaal, C. Pohl, P. Wattjes, E. Hulst, S. Freedman, H.-P. Hartung, D. Miller, X. Montalbán, L. Kappos, G. Edan, D. Pleimes, K. Beckman, B. Stemper, H. Polman, R. Sandbrink, F. Barkhof.

    Interferon beta-1b reduces black holes in a randomised trial of clinically isolated syndrome, in: Mult Scler, January 2014, vol. 20, no 2, pp. 234-42, Trial registration number : NCT00544037.

    http://www.hal.inserm.fr/inserm-01103080
  • 21C. Papagiannaki, L. Spelle, A.-C. Januel, A. Benaissa, J.-Y. Gauvrit, V. Costalat, H. Desal, F. Turjman, S. Velasco, X. Barreau, P. Courtheoux, C. Cognard, D. Herbreteau, J. Moret, L. Pierot.

    WEB intrasaccular flow disruptor-prospective, multicenter experience in 83 patients with 85 aneurysms, in: American Journal of Neuroradiology, August 2014, pp. 2106-11. [ DOI : 10.3174/ajnr.A4028 ]

    http://www.hal.inserm.fr/inserm-01102684
  • 22J. Petr, J.-C. Ferré, H. Raoult, E. Bannier, J.-Y. Gauvrit, C. Barillot.

    Template-based approach for detecting motor task activation-related hyperperfusion in pulsed ASL data, in: Human Brain Mapping, March 2014, pp. 1179-89. [ DOI : 10.1002/hbm.22243 ]

    http://www.hal.inserm.fr/inserm-00800899
  • 23H. Raoult, E. Bannier, P. Maurel, C. Neyton, J.-C. Ferré, P. Schmitt, C. Barillot, J.-Y. Gauvrit.

    Hemodynamic Quantification in Brain Arteriovenous Malformations With Time-Resolved Spin-Labeled Magnetic Resonance Angiography, in: Stroke, July 2014, vol. 45, no 8, pp. 2461-4. [ DOI : 10.1161/STROKEAHA.114.006080 ]

    http://www.hal.inserm.fr/inserm-01080106
  • 24M. Taquet, B. Scherrer, O. Commowick, J. Peters, M. Sahin, B. Macq, K. Warfield.

    A Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure, in: IEEE Transactions on Medical Imaging, February 2014, vol. 33, no 2, pp. 504-517. [ DOI : 10.1109/TMI.2013.2289381 ]

    http://www.hal.inserm.fr/inserm-00903679

International Conferences with Proceedings

  • 25E. Bannier, A. Coum, A. Boulic, G. Gambarota, Y. Gandon.

    Liver biopsy, MRS and MRI fat fraction quantification in patients presenting fat and iron overload, in: ISMRM/ESMRMB, Milano, Italy, May 2014.

    http://www.hal.inserm.fr/inserm-01080262
  • 26F. Cao, O. Commowick, E. Bannier, C. Barillot.

    Simultaneous Estimation of T1, T2 and B1 Maps From Relaxometry MR Sequences, in: MICCAI Workshop on Intelligent Imaging Linking MR Acquisition and Processing, United States, September 2014, pp. 16-23.

    http://www.hal.inserm.fr/inserm-01052853
  • 27F. Cao, O. Commowick, C. Maumet, C. Barillot.

    Quantitative Relaxation Templates for the Human Brain at 3T, in: IEEE International Symposium on Biomedical Imaging, China, April 2014, pp. 57-60.

    http://www.hal.inserm.fr/inserm-00950843
  • 28H. Deshpande, P. Maurel, C. Barillot.

    Detection of Multiple Sclerosis Lesions using Sparse Representations and Dictionary Learning, in: MICCAI - 2nd International Workshop on Sparsity Techniques in Medical Imaging (STMI), Boston, MA, United States, September 2014, no 71-79.

    https://hal.inria.fr/hal-01087339
  • 29Y. Karpate, O. Commowick, C. Barillot, G. Edan.

    Longitudinal Intensity Normalization in Multiple Sclerosis Patients, in: MICCAI Workshop on Clinical Image-based Procedures, Boston, United States, September 2014, pp. 1-8.

    http://www.hal.inserm.fr/inserm-01074699
  • 30A. Stamm, O. Commowick, P. Pérez, C. Barillot.

    Fast Identification of Optimal Fascicle Configurations from Standard Clinical Diffusion MRI Using Akaike Information Criterion, in: IEEE International Symposium on Biomedical Imaging, China, April 2014, pp. 238-241.

    http://www.hal.inserm.fr/inserm-00987802
  • 31A. Stamm, O. Commowick, X. Tomas-Fernandez, J. Singh, K. Warfield.

    Tracking the Cortico-Spinal Tract as a Multi-Modal Distribution of Streamlines from Local White Matter Microstructure Models, in: MICCAI Challenge on DTI Tractography Proceedings, United States, September 2014, pp. 21-32.

    http://www.hal.inserm.fr/inserm-01066812
  • 32A. Stamm, B. Scherrer, S. Baraldo, O. Commowick, K. Warfield.

    Non-central chi estimation of multi-compartment models improves model selection by reducing overfitting, in: ISMRM, Italy, May 2014, 2623 p.

    http://www.hal.inserm.fr/inserm-00993964
  • 33A. Stamm, B. Scherrer, O. Commowick, C. Barillot, K. Warfield.

    Fast and robust detection of the optimal number of fascicles in diffusion images using model averaging theory, in: ISMRM, Italy, May 2014, 2629 p.

    http://www.hal.inserm.fr/inserm-00993965

National Conferences with Proceedings

  • 34C. Barillot, Y. Karpate, A. Crimi, O. Commowick.

    Analyse d'images spatio-temporelles dans la Sclérose en Plaques, in: Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Rouen, France, June 2014.

    https://hal.archives-ouvertes.fr/hal-00988875
References in notes
  • 35B. Combès, S. Prima.

    A new efficient EM-ICP algorithm for non-linear registration of 3D point sets, Inria, January 2012, no RR-7853.

    http://hal.inria.fr/hal-00656388