EN FR
EN FR


previous Previous | up Home


Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 4J. Beaumont, H. Saint-Jalmes, O. Acosta, T. Kober, M. Tanner, J.-C. Ferré, O. Salvado, J. Fripp, G. Gambarota.

    Multi T1-weighted contrast MRI with fluid and white matter suppression at 1.5 T, in: Magnetic Resonance Imaging, November 2019, vol. 63, pp. 217-225. [ DOI : 10.1016/j.mri.2019.08.010 ]

    https://hal-univ-rennes1.archives-ouvertes.fr/hal-02281467
  • 5A.-C. Binter, E. Bannier, G. Simon, D. Saint-Amour, J.-C. Ferré, C. Barillot, C. Monfort, S. Cordier, C. Chevrier, F. Pelé.

    Prenatal exposure to glycol ethers and motor inhibition function evaluated by functional MRI at the age of 10 to 12 years in the PELAGIE mother-child cohort, in: Environment International, September 2019, vol. 133, no A, 105163 p. [ DOI : 10.1016/j.envint.2019.105163 ]

    https://www.hal.inserm.fr/inserm-02284944
  • 6A. Bowring, C. Maumet, T. E. Nichols.

    Exploring the Impact of Analysis Software on Task fMRI Results, in: Human Brain Mapping, 2019, vol. 40, no 11, pp. 3362-3384. [ DOI : 10.1002/hbm.24603 ]

    https://www.hal.inserm.fr/inserm-01760535
  • 7Y. Chai, A. Bush, J. Coloigner, A. Nederveen, B. Tamrazi, C. Vu, S. Choi, T. Coates, N. Leporé, J. Wood.

    White matter has impaired resting oxygen delivery in sickle cell patients, in: American Journal of Hematology, April 2019, vol. 94, no 4, pp. 467-474. [ DOI : 10.1002/ajh.25423 ]

    https://www.hal.inserm.fr/inserm-02174474
  • 8R. Chouteau, B. Combès, E. Bannier, H. Snoussi, J.-C. Ferré, C. Barillot, G. Edan, P. Sauleau, A. Kerbrat.

    Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function, in: Journal of Neurology, June 2019, vol. 266, no 9, pp. 2294-2303. [ DOI : 10.1007/s00415-019-09419-5 ]

    https://www.hal.inserm.fr/inserm-02160321
  • 9J. Coloigner, J.-M. Batail, O. Commowick, I. Corouge, G. Robert, C. Barillot, D. Drapier.

    White matter abnormalities in depression: a categorical and phenotypic diffusion MRI study, in: Neuroimage-Clinical, February 2019, vol. 22, 101710 p. [ DOI : 10.1016/j.nicl.2019.101710 ]

    https://www.hal.inserm.fr/inserm-01938407
  • 10B. Combès, S. Prima.

    An efficient EM-ICP algorithm for non-linear registration of large 3D point sets, in: Computer Vision and Image Understanding, November 2019, pp. 1-14. [ DOI : 10.1016/j.cviu.2019.102854 ]

    https://hal.inria.fr/hal-02414127
  • 11S. Crespo, M. Fasondini, C. Klein, N. Stoilov, C. Vallée.

    Multidomain spectral method for the Gauss hypergeometric function, in: Numerical Algorithms, June 2019, pp. 1-35. [ DOI : 10.1007/s11075-019-00741-7 ]

    https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02194789
  • 12C. Cury, S. Durrleman, D. Cash, M. Lorenzi, J. M. Nicholas, M. Bocchetta, J. C. Van Swieten, B. Borroni, D. Galimberti, M. Masellis, M. C. Tartaglia, J. Rowe, C. Graff, F. Tagliavini, G. B. Frisoni, R. Laforce, E. Finger, A. de Mendonça, S. Sorbi, S. Ourselin, J. Rohrer, M. Modat, C. Andersson, S. Archetti, A. Arighi, L. Benussi, S. Black, M. Cosseddu, M. Fallstrm, C. G. Ferreira, C. Fenoglio, N. Fox, M. Freedman, G. Fumagalli, S. Gazzina, R. Ghidoni, M. Grisoli, V. Jelic, L. Jiskoot, R. Keren, G. Lombardi, C. Maruta, L. Meeter, R. van Minkelen, B. Nacmias, L. Ijerstedt, A. Padovani, J. Panman, M. Pievani, C. Polito, E. Premi, S. Prioni, R. Rademakers, V. Redaelli, E. Rogaeva, G. Rossi, M. Rossor, E. Scarpini, D. Tang-Wai, H. Thonberg, P. Tiraboschi, A. Verdelho, J. Warren.

    Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort, in: NeuroImage, March 2019, vol. 188, pp. 282-290. [ DOI : 10.1016/j.neuroimage.2018.11.063 ]

    https://www.hal.inserm.fr/inserm-01958916
  • 13C. Cury, P. Maurel, R. Gribonval, C. Barillot.

    A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction, in: Frontiers in Neuroscience, 2020, forthcoming. [ DOI : 10.1101/599589 ]

    https://www.hal.inserm.fr/inserm-02090676
  • 14D. Eden, C. Gros, A. Badji, S. Dupont, B. De Leener, J. Maranzano, R. Zhuoquiong, Y. Liu, T. Granberg, R. Ouellette, L. Stawiarz, J. Hillert, J. Talbott, E. Bannier, A. Kerbrat, G. Edan, P. Labauge, V. Callot, J. Pelletier, B. Audoin, H. Rasoanandrianina, J.-C. Brisset, P. Valsasina, M. Rocca, M. Filippi, R. Bakshi, S. Tauhid, F. Prados, M. Yiannakas, H. Kearney, O. Ciccarelli, S. Smith, C. Andrada Treaba, C. Mainero, J. Lefeuvre, D. Reich, G. Nair, T. Shepherd, E. Charlson, Y. Tachibana, M. Hori, K. Kamiya, L. Chougar, S. Narayanan, J. Cohen-Adad.

    Spatial distribution of multiple sclerosis lesions in the cervical spinal cord, in: Brain - A Journal of Neurology , March 2019, vol. 142, no 3, pp. 633-646. [ DOI : 10.1093/brain/awy352 ]

    https://www.hal.inserm.fr/inserm-02082374
  • 15Y. Gautier, P. Meurice, N. Coquery, A. Constant, E. Bannier, Y. Serrand, J.-C. Ferré, R. Moirand, D. Val-Laillet.

    Implementation of a New Food Picture Database in the Context of fMRI and Visual Cognitive Food-Choice Task in Healthy Volunteers, in: Frontiers in Psychology, November 2019, vol. 10, 2660 p, Yentl Gautier and Paul Meurice have contributed equally to this work. [ DOI : 10.3389/fpsyg.2019.02620 ]

    https://www.hal.inserm.fr/inserm-02389926
  • 16C. Meurée, P. Maurel, J.-C. Ferré, C. Barillot.

    Patch-Based Super-Resolution of Arterial Spin Labeling Magnetic Resonance Images, in: NeuroImage, January 2019, vol. 189, pp. 85-94. [ DOI : 10.1016/j.neuroimage.2019.01.004 ]

    https://www.hal.inserm.fr/inserm-01880726
  • 17L. Pierot, C. Barbe, J.-C. Ferré, C. Cognard, S. Soize, P. White, L. Spelle.

    Patient and aneurysm factors associated with aneurysm rupture in the population of the ARETA study, in: American Journal of Neuroradiology, September 2019. [ DOI : 10.1016/j.neurad.2019.07.007 ]

    https://hal-univ-rennes1.archives-ouvertes.fr/hal-02371090
  • 18M. Proisy, I. Corouge, A. Legouhy, A. Nicolas, V. Charon, N. Mazille, S. Leroux, B. Bruneau, C. Barillot, J.-C. Ferré.

    Changes in brain perfusion in successive arterial spin labeling MRI scans in neonates with hypoxic-ischemic encephalopathy, in: Neuroimage-Clinical, July 2019, vol. 101939, pp. 1-31. [ DOI : 10.1016/j.nicl.2019.101939 ]

    https://www.hal.inserm.fr/inserm-02189386

Invited Conferences

  • 19E. Bannier, B. Combès, A. Kerbrat.

    Multi-center (mono-vendor) longitudinal conventional and quantitative spinal cord MRI in Multiple Sclerosis at 3 Tesla - The EMISEP Study : First results, in: 2019 - 6th Spinal Cord MRI Workshop, Londres, United Kingdom, January 2019, pp. 1-30.

    https://www.hal.inserm.fr/inserm-01994583
  • 20C. Maumet.

    Let's do open neuroimaging sciences, in: GEANT 2019 - Workshop GEstion et pArtage de données en NeuroinformaTique, Marseille, France, May 2019, pp. 1-54.

    https://www.hal.inserm.fr/inserm-02146290

International Conferences with Proceedings

  • 21S. Butet, G. Lioi, M. Fleury, A. Lécuyer, C. Barillot, I. Bonan.

    A multi-target motor imagery training using EEG-fMRI Neurofeedback: an exploratory study on stroke, in: OHBM 2019- Orgaization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-4.

    https://hal.inria.fr/hal-02265496
  • 22A. Legouhy, O. Commowick, F. Rousseau, C. Barillot.

    Unbiased longitudinal brain atlas creation using robust linear registration and log-Euclidean framework for diffeomorphisms, in: ISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Venise, Italy, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, April 2019, pp. 1038-1041. [ DOI : 10.1109/ISBI.2019.8759508 ]

    https://www.hal.inserm.fr/inserm-02099958
  • 23G. Lioi, S. Butet, M. Fleury, C. Cury, E. Bannier, A. Lécuyer, I. Bonan, C. Barillot.

    Bimodal EEG-fMRI Neurofeedback for upper motor limb rehabilitation: a pilot study on chronic patients, in: rtFIN 2019 - Real Time Functional Imaging and Neurofeedback, Maastricht, Netherlands, December 2019, pp. 1-2.

    https://hal.inria.fr/hal-02383532

Conferences without Proceedings

  • 24A. Bates, A. Daducci, E. Caruyer.

    Multi-Dimensional Diffusion MRI Sampling Scheme: B-tensor Design and Accurate Signal Reconstruction, in: ISMRM 2019 - 27th Annual Meeting & Exhibition, Montréal, Canada, May 2019, pp. 1-4.

    https://www.hal.inserm.fr/inserm-02065830
  • 25J. Beaumont, H. Saint-Jalmes, O. Acosta, T. Kober, M. Tanner, J.-C. Ferré, O. Salvado, J. Fripp, G. Gambarota.

    High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage, in: ISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Venice, Italy, IEEE, 2019, pp. 701-704. [ DOI : 10.1109/ISBI.2019.8759494 ]

    https://hal-univ-rennes1.archives-ouvertes.fr/hal-02391261
  • 26S. Chatterjee, O. Commowick, O. Afacan, S. K. Warfield, C. Barillot.

    Tissue microstructure information from T2 relaxometry and diffusion MRI can identify multiple sclerosis (MS) lesions undergoing blood-brain barrier breakdown (BBB), in: ISMRM 2019 - 27th Annual Meeting & Exhibition, Montreal, Canada, May 2019, pp. 1-4.

    https://www.hal.inserm.fr/inserm-02153311
  • 27J. Coloigner, J.-M. Batail, D. Drapier, C. Barillot.

    Structural connectivity analysis in treatment-resistant depression, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-2.

    https://hal-univ-rennes1.archives-ouvertes.fr/hal-02176403
  • 28J. Coloigner, A.-C. Binter, E. Bannier, J.-C. Ferré, C. Chevrier, C. Barillot, F. Pelé.

    Effect of prenatal organic solvent exposure on structural connectivity at childhood, in: ISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Venise, Italy, IEEE, April 2019, pp. 151-154. [ DOI : 10.1109/ISBI.2019.8759473 ]

    https://www.hal.inserm.fr/inserm-02176376
  • 29C. Cury, P. Maurel, R. Gribonval, C. Barillot.

    Can we learn from coupling EEG-fMRI to enhance neuro-feedback in EEG only?, in: OHBM 2019 - Annual Meeting Organization for Human Brain Mapping, Rome, Italy, June 2019, 1 p.

    https://www.hal.inserm.fr/inserm-02074623
  • 30C. Cury, P. Maurel, G. Lioi, R. Gribonval, C. Barillot.

    Learning bi-modal EEG-fMRI neurofeedback to improve neurofeedback in EEG only, in: Real-Time Functional Imaging and Neurofeedback, Maastricht, Netherlands, December 2019, pp. 1-2. [ DOI : 10.1101/599589 ]

    https://www.hal.inserm.fr/inserm-02368720
  • 31C. Cury, M. A. Scelzi, R. Toro, V. Frouin, E. Artiges, A. Heinz, H. W. Walter, H. Lemaître, J.-L. Martinot, J.-B. Poline, M. N. Smolka, G. Schumann, A. Altmann, O. Colliot.

    On the genetic bases of incomplete hippocampal inversion: a genome-wide association study, in: OHBM 2019 - Annual Meeting on Organization for Human Brain Mapping, Rome, Italy, June 2019, 1 p.

    https://www.hal.inserm.fr/inserm-02074616
  • 32Q. Duché, F. Chapelain, E. Bannier, J.-C. Ferré, P. Allain, P. Gallien, V. Dardier, C. Barillot.

    Neural basis of irony in patients with Multiple Sclerosis : an exploratory fMRI study, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-3.

    https://www.hal.inserm.fr/inserm-02148314
  • 33M. Fleury, G. Lioi, C. Barillot, A. Lécuyer.

    The use of haptic feedback in Brain-Computer Interfaces and Neurofeedback, in: rtFIN 2019 - Real Time Functional Imaging and Neurofeedback, Maastricht, Netherlands, December 2019.

    https://hal.archives-ouvertes.fr/hal-02387400
  • 34M. Fleury, G. Lioi, C. Barillot, A. Lécuyer.

    The use of haptic feedback in Brain-Computer Interfaces and Neurofeedback, in: CORTICO 2019 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, Lille, France, March 2019.

    https://hal.archives-ouvertes.fr/hal-02387408
  • 35F. Galassi, S. Tarride, E. Vallée, O. Commowick, C. Barillot.

    Deep learning for multi-site ms lesions segmentation: two-step intensity standardization and generalized loss function, in: ISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Venice, Italy, IEEE, April 2019, 1 p.

    https://hal.archives-ouvertes.fr/hal-02052250
  • 36K. Helmer, D. Keator, T. Auer, S. Ghosh, C. Maumet, T. Nichols, J.-B. Poline.

    Constructing an Ontology of Neuroscience Experiments for the Neuroimaging Data Model (NIDM) Authors: Introduction, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Jun 2019, Rome, Italy, June 2019, pp. 1-4.

    https://www.hal.inserm.fr/inserm-02379281
  • 37P.-Y. Jonin, Q. Duché, E. Bannier, I. Corouge, J.-C. Ferré, S. Belliard, E. J. Barbeau, C. Barillot.

    Abnormal fMRI response in sub-hippocampal structures: how prior knowledge impairs memory in AD, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-5.

    https://www.hal.inserm.fr/inserm-02148289
  • 38P.-Y. Jonin, Q. Duché, E. Bannier, I. Corouge, J.-C. Ferré, S. Belliard, C. Barillot, E. J. Barbeau.

    Learning What You Know: How Prior Knowledge Impairs New Associative Learning in Early AD, in: 2019 Conference on Cognitive Neurosciences of Memory: Recollection, Familiarity and Novelty detection, Liège, Belgium, October 2019, 1 p.

    https://www.hal.inserm.fr/inserm-02383947
  • 39P.-Y. Jonin, Q. Duché, E. Bannier, I. Corouge, J.-C. Ferré, S. Belliard, C. Barillot, E. J. Barbeau.

    Learning What You Know: How Prior Knowledge Impairs New Associative Learning in Early AD, in: AAIC 2019 - Alzheimer's Association International Conference, Los Angeles, United States, July 2019, pp. 1-2.

    https://www.hal.inserm.fr/inserm-02383941
  • 40D. Keator, K. Helmer, C. Maumet, S. Padhy, D. Jarecka, D. N. Kennedy, S. Ghosh, J.-B. Poline.

    Tools for FAIR Neuroimaging Experiment Metadata Annotation with NIDM Experiment, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping,, Rome, Italy, June 2019, pp. 1-5.

    https://www.hal.inserm.fr/inserm-02379309
  • 41S. Le Franc, M. Fleury, M. Cogné, S. Butet, C. Barillot, A. Lécuyer, I. Bonan.

    Influence of visual feedback on the illusion of movement induced by tendon vibration of wrist in healthy subjects, in: SOFMER 2019 - 34ème congrès de la Société Français de Médecine Physique et de Réadaptation, Bordeaux, France, October 2019.

    https://hal.inria.fr/hal-02415992
  • 42A. Legouhy, O. Commowick, F. Rousseau, C. Barillot.

    Online atlasing using an iterative centroid, in: MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, October 2019, pp. 366-374. [ DOI : 10.1007/978-3-030-32248-9_41 ]

    https://www.hal.inserm.fr/inserm-02317392
  • 43G. Lioi, S. Butet, M. Fleury, A. Lécuyer, I. Bonan, C. Barillot.

    Efficacy of EEG-fMRI Neurofeedback in stroke in relation to the DTI structural damage: a pilot study, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-4.

    https://hal.inria.fr/hal-02265495
  • 44C. Maumet, S. Ghosh, Y. O. Halchenko, D. Jarecka, N. B. Nichols, J.-B. Poline, M. Hanke.

    The best of both worlds: using semantic web with JSON-LD. An example with NIDM-Results & Datalad, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019.

    https://www.hal.inserm.fr/inserm-01972649
  • 45C. Maumet, X. Rolland, A. Bonnet, S. Camarasu-Pop, A. Kokogiannaki, C. Barillot.

    Open research: linking the bits and pieces with OpenAIRE-connect, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-6.

    https://www.hal.inserm.fr/inserm-02151177
  • 46T. Postma, C. Cury, S. Baxendale, J. P. Thompson, I. Cano-lopez, J. de Tisi, J. L. Burdett, M. K. Sidhu, L. Caciagli, G. P. Winston, S. B. Vos, M. Thom, J. S. Duncan, M. J. Koepp, M. Galovic.

    Hippocampal Shape Alterations Are Associated With Pre- And Postsurgical Verbal And Visual Memory Deficits In Temporal Lobe Epilepsy, in: IEC 2019 - 33rd International Epilepsy Congress, Bangkok, Thailand, June 2019, 1 p.

    https://hal.archives-ouvertes.fr/hal-02383692
  • 47M. Proisy, I. Corouge, A. Legouhy, V. Charon, N. Mazille, A. Nicolas, S. Leroux, B. Bruneau, C. Barillot, J.-C. Ferré.

    Changes in brain perfusion in successive arterial spin labelling MRI scans in neonates with hypoxic-ischemic encephalopathy, in: SPR 2019 - Annual Meeting & Postgraduate Course, San Francisco, California, United States, April 2019.

    https://www.hal.inserm.fr/inserm-01944507
  • 48H. Snoussi, E. Caruyer, J. Cohen-Adad, O. Commowick, B. Combès, E. Bannier, A. Kerbrat, C. Barillot.

    Geometric evaluation of distortion correction methods in diffusion MRI of the spinal cord, in: ISBI 2019 - 16th IEEE International Symposium on Biomedical Imaging, Venice, Italy, IEEE, April 2019, pp. 1696-1699. [ DOI : 10.1109/ISBI.2019.8759196 ]

    https://www.hal.inserm.fr/inserm-01986723
  • 49R. Truffet, C. Barillot, E. Caruyer.

    Optimal selection of diffusion-weighting gradient waveforms using compressed sensing and dictionary learning, in: ISMRM 2019 - 27th Annual Meeting & Exhibition, Montréal, Canada, May 2019, pp. 1-3.

    https://www.hal.inserm.fr/inserm-02015394
  • 50C. Vallée, P. Maurel, I. Corouge, C. Barillot.

    Investigating an optimal duration of acquisition in resting-state ASL, in: OHBM 2019 - 25th Annual Meeting of the Organization for Human Brain Mapping, Rome, Italy, June 2019, pp. 1-3.

    https://www.hal.inserm.fr/inserm-02150255

Scientific Popularization

Other Publications

  • 54A. Ackaouy, N. Courty, E. Vallee, O. Commowick, C. Barillot, F. Galassi.

    Unsupervised Domain Adaptation with Optimal Transport in multi-site segmentation of Multiple Sclerosis lesions from MRI data : Preprint, October 2019, working paper or preprint.

    https://hal.archives-ouvertes.fr/hal-02317028
  • 55G. Besson, P.-Y. Jonin, C. Barillot.

    Wakeful rest promotes the viewpoint invariance, but not the fine discriminability, of entities mnemonic representations for subsequently familiarity-based recognition, October 2019, 2019 - Cognitive Neuroscience of Memory: Recollection Familiarity Novelty detection, Poster.

    https://www.hal.inserm.fr/inserm-02384508
  • 56A. Guyot, A. B. Graciano Fouquier, E. Gerardin, M. Chupin, J. Glaunès, L. Marrakchi-Kacem, J. Germain, C. Boutet, C. Cury, L. Hertz-Pannier, A. Vignaud, S. Durrleman, T. Henry, P.-F. Van De Moortele, A. Trouvé, O. Colliot.

    A Diffeomorphic Vector Field Approach to Analyze the Thickness of the Hippocampus from 7T MRI, November 2019, working paper or preprint.

    https://hal.inria.fr/hal-02359660
  • 57A. A. Ould Ismail, D. Parker, M. Hernandez-Fernandez, R. Wolf, S. Brem, S. Alexander, W. Hodges, O. Pasternak, E. Caruyer, R. Verma.

    Freewater EstimatoR using iNtErpolated iniTialization (FERNET): Toward Accurate Estimation of Free Water in Peritumoral Region Using Single-Shell Diffusion MRI Data, October 2019, working paper or preprint. [ DOI : 10.1101/796615 ]

    https://www.hal.inserm.fr/inserm-02309753
  • 58C. Vallée, P. Maurel, I. Corouge, C. Barillot.

    Acquisition duration in resting-state arterial spin labeling. How long is enough?, September 2019, working paper or preprint.

    https://www.hal.inserm.fr/inserm-02129799


previous Previous | up Home