Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1S. Chatterjee.
  Gaining insights into brain tissues using multi-compartment T2 relaxometry models, Universite Rennes 1, December 2018.
  https://hal.archives-ouvertes.fr/tel-01949963

Articles in International Peer-Reviewed Journals

• 2R. Bourcier, D. Abed, M. Piotin, H. Redjem, J. Ferré, F. Eugène, H. Raoult, M. Mirza, R. Chapot, H. Desal, H. Nordmeyer.
  Multicenter initial experience with the EmboTrap device in acute anterior ischemic stroke, in: American Journal of Neuroradiology, July 2018, vol. 45, n^o 4, pp. 230-235.
  https://hal.archives-ouvertes.fr/hal-01939638
• 3R. Bourcier, P.-L. Alexandre, F. Eugène, B. Delasalle-Guyomarch, B. Guillon, B. Kerleroux, S. Saleme, G. Marnat, S. Boucebci, M. Mirza, J.-C. Ferré, C. Papagiannaki, H. Desal.
  Is bridging therapy still required in stroke due to carotid artery terminus occlusions?, in: Journal of Neurointerventional Surgery, June 2018, vol. 10, n^o 7, pp. 625 - 628. [ DOI : 10.1136/neurintsurg-2017-013398 ]
  https://www.hal.inserm.fr/inserm-01935345
• 4A. Carsin-Vu, I. Corouge, O. Commowick, G. Bouzillé, C. Barillot, J.-C. Ferré, M. Proisy.
  Measurement of pediatric regional cerebral blood flow from 6 months to 15 years of age in a clinical population, in: European Journal of Radiology, April 2018, vol. 101, pp. 38-44. [ DOI : 10.1016/j.ejrad.2018.02.003 ]
  https://www.hal.inserm.fr/inserm-01708945
• 5B. Combès, A. Kerbrat, J.-C. Ferré, V. Callot, J. Maranzano, A. Badji, E. Le Page, P. Labauge, X. Ayrignac, C. Carra Dallière, N. De Champfleur, J. Pelletier, A. Maarouf, J. De Sèze, N. Collongues, D. Brassat, F. Durand-Dubief, C. Barillot, E. Bannier, G. Edan.
  Focal and diffuse cervical spinal cord damage in patients with early relapsing–remitting MS: A multicentre magnetisation transfer ratio study, in: Multiple Sclerosis, June 2018, 1352458518781999 p. [ DOI : 10.1177/1352458518781999 ]
  https://hal.inria.fr/hal-01934621
• 6B. Combès, L. Monteau, E. Bannier, V. Callot, P. Labauge, X. Ayrignac, C. Carra Dallière, J. Pelletier, A. Maarouf, J. De Sèze, N. Collongues, C. Barillot, G. Edan, J. C. Ferré, A. Kerbrat.
  Measurement of magnetization transfer ratio (MTR) from cervical spinal cord: Multicenter reproducibility and variability, in: Journal of Magnetic Resonance Imaging, October 2018. [ DOI : 10.1002/jmri.26537 ]
  https://hal.inria.fr/hal-01934605
• 7O. Commowick, A. Istace, M. Kain, B. Laurent, F. Leray, M. Simon, S. Camarasu-Pop, P. Girard, R. Ameli, J.-C. Ferré, A. Kerbrat, T. Tourdias, F. Cervenansky, T. Glatard, J. Beaumont, S. Doyle, F. Forbes, J. Knight, A. Khademi, A. Mahbod, C. Wang, R. Mckinley, F. Wagner, J. Muschelli, E. Sweeney, E. Roura, X. Lladó, M. M. Santos, W. P. Santos, A. G. Silva-Filho, X. Tomas-Fernandez, H. Urien, I. Bloch, S. Valverde, M. Cabezas, F. J. Vera-Olmos, N. Malpica, C. R. G. Guttmann, S. Vukusic, G. Edan, M. Dojat, M. Styner, S. K. Warfield, F. Cotton, C. Barillot.
  Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure, in: Scientific Reports, September 2018, vol. 8, 13650 p. [ DOI : 10.1038/s41598-018-31911-7 ]
  https://www.hal.inserm.fr/inserm-01847873
• 8C. 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 Mendonca, 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.
  https://www.hal.inserm.fr/inserm-01958916
• 9C. Cury, J. Glaunès, R. Toro, M. Chupin, G. Schumann, V. Frouin, J.-B. Poline, O. Colliot.
  Statistical Shape Analysis of Large Datasets Based on Diffeomorphic Iterative Centroids, in: Frontiers in Neuroscience, November 2018, vol. 12. [ DOI : 10.3389/fnins.2018.00803 ]
  https://hal.inria.fr/hal-01920263
• 10J. Ferré, J.-Y. Gauvrit.
  45 e Congrès de la Société française de neuroradiologie, in: American Journal of Neuroradiology, March 2018, vol. 45, n^o 2, 69 p.
  https://hal.archives-ouvertes.fr/hal-01939641
• 11M. Fleury, C. Barillot, E. Bannier, M. Mano, P. Maurel.
  Automated Electrodes Detection during simultaneous EEG/fMRI, in: Frontiers in information and communication technologies, 2018.
  https://hal.inria.fr/hal-01939735
• 12C. Gros, B. De Leener, A. Badji, J. Maranzano, D. Eden, S. Dupont, J. Talbott, R. Zhuoquiong, Y. Liu, T. Martin, R. Martin, Y. Tachibana, M. Hori, K. Kamiya, L. Chougar, L. Stawiarz, J. Hillert, 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. A. Martin, C. Martin, J. Lefeuvre, D. Reich, G. Nair, V. Auclair, D. McLaren, A. Martin, M. Fehlings, S. Vahdat, A. Khatibi, J. Doyon, T. Shepherd, E. Charlson, S. Narayanan, J. Cohen-Adad, T. Granberg, R. Ouellette, C. A. Treaba, C. Mainero.
  Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks, in: NeuroImage, January 2019, vol. 184, pp. 901 - 915. [ DOI : 10.1016/j.neuroimage.2018.09.081 ]
  https://hal.inria.fr/hal-01934566
• 13K. Jamal, S. Leplaideur, C. Rousseau, L. Chochina, A. Moulinet-Raillon, I. Bonan.
  Disturbances of spatial reference frame and postural asymmetry after a chronic stroke, in: Experimental Brain Research, June 2018, vol. 236, n^o 8, pp. 2377-2385. [ DOI : 10.1007/s00221-018-5308-1 ]
  https://hal-univ-rennes1.archives-ouvertes.fr/hal-01833943
• 14P.-Y. Jonin, G. Besson, R. La Joie, J. Pariente, S. Belliard, C. Barillot, E. J. Barbeau.
  Superior explicit memory despite severe developmental amnesia: In-depth case study and neural correlates, in: Hippocampus, July 2018. [ DOI : 10.1002/hipo.23010 ]
  https://www.hal.inserm.fr/inserm-01916086
• 15P.-Y. Jonin, C. Calia, S. Muratot, S. Belliard, Q. Duché, E. J. Barbeau, M. A. Parra.
  Refining understanding of working memory buffers through the construct of binding: Evidence from a single case informs theory and clinical practise, in: Cortex, August 2018. [ DOI : 10.1016/j.cortex.2018.08.011 ]
  https://www.hal.inserm.fr/inserm-01916090
• 16H. Raoult, F. Eugène, A. Le Bras, G. Mineur, B. Carsin-Nicol, J.-C. Ferré, J.-Y. Gauvrit.
  CT angiography for one-year follow-up of intracranial aneurysms treated with the WEB device: Utility in evaluating aneurysm occlusion and WEB compression at one year, in: American Journal of Neuroradiology, October 2018, vol. 45, n^o 6, pp. 343 - 348. [ DOI : 10.1016/j.neurad.2018.02.010 ]
  https://www.hal.inserm.fr/inserm-01935397
• 17G. d'Assignies, A. Paisant, E. Bardou-Jacquet, A. Boulic, E. Bannier, F. Lainé, M. Ropert, J. Morcet, H. Saint-Jalmes, Y. Gandon.
  Non-invasive measurement of liver iron concentration using 3-Tesla magnetic resonance imaging validation against biopsy, in: European Radiology, May 2018, vol. 28, n^o 5, pp. 2022-2030. [ DOI : 10.1007/s00330-017-5106-3 ]
  https://hal-univ-rennes1.archives-ouvertes.fr/hal-01771416

Invited Conferences

• 18C. Barillot, M. Dojat, M. Kain.
  France Life Imaging and the transversal node for Information Analysis and Management (IAM), in: JFR 2018 - Journées Françaises de Radiologie, Paris, France, October 2018, pp. 1-15.
  http://www.hal.inserm.fr/inserm-01895605
• 19O. Commowick, C. Barillot.
  Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure, in: JFR 2018 - Journées Françaises de Radiologie, Paris, France, October 2018, vol. 8, n^o 1, pp. 1-19. [ DOI : 10.1038/s41598-018-31911-7 ]
  http://www.hal.inserm.fr/inserm-01895603
• 20M. Kain.
  Solutions de gestion des données d’imagerie:exemples avec Shanoir, Archimed et Cati-DB, in: JFR 2018 - Journées Françaises de Radiologie, Paris, France, October 2018, pp. 1-9.
  http://www.hal.inserm.fr/inserm-01895596
• 21C. Maumet.
  Tools and standards to make neuroimaging derived data reusable, in: Neuroinformatics 2018, Montreal, Canada, August 2018.
  http://www.hal.inserm.fr/inserm-01886089
• 22C. Maumet.
  Towards large-scale brain imaging studies: How to deal with analytic variability?, in: AI in our labs, IRISA / Inria Rennes, Rennes, France, April 2018, pp. 1-26.
  http://www.hal.inserm.fr/medihal-01798870

International Conferences with Proceedings

• 23S. Chatterjee, O. Commowick, O. Afacan, S. K. Warfield, C. Barillot.
  Identification of Gadolinium contrast enhanced regions in MS lesions using brain tissue microstructure information obtained from diffusion and T2 relaxometry MRI, in: 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Grenade, Spain, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Springer, September 2018, vol. 11072, pp. 63-71. [ DOI : 10.1007/978-3-030-00931-1_8 ]
  https://hal.archives-ouvertes.fr/hal-01830532
• 24M. Kain.
  France Life Imaging (FLI)-Information Analysis and Management (IAM)Provider of data storage and processing solutions for preclinical imaging studies, in: Appning2018 - Workshop on Animal PoPulatioN ImagiNG, Paris, France, June 2018, pp. 1-3.
  https://hal.inria.fr/hal-01949362
• 25C. Maumet, G. Flandin, M. Perez-Guevara, J.-B. Poline, J. Rajendra, R. Reynolds, B. Thirion, T. E. Nichols.
  A standardised representation for non-parametric fMRI results, in: OHBM 2018 - Annual meeting of the Organization of Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-4.
  http://www.hal.inserm.fr/inserm-01828914
• 26A. Stamm, O. Commowick, A. Menafoglio, S. K. Warfield.
  A Bayes Hilbert Space for Compartment Model Computing in Diffusion MRI, in: MICCAI 2018 - International Conference on Medical Image Computing and Computer-Assisted Intervention, Grenade, Spain, Medical Image Computing and Computer Assisted Intervention – MICCAI, September 2018, vol. 11072, pp. 72-80. [ DOI : 10.1007/978-3-030-00931-1_9 ]
  http://www.hal.inserm.fr/inserm-01937992

Conferences without Proceedings

• 27E. Bannier, G. Gambarota, J.-C. Ferré, T. Kober, A. Nica, S. Chabardes, C. Haegelen.
  FLAWS imaging improves depiction of the thalamic subregions for DBS planning in epileptic patients, in: ISMRM 2018 - Annual Meeting, Paris, France, June 2018, pp. 1-2.
  https://www.hal.inserm.fr/inserm-01939451
• 28A. Bowring, T. E. Nichols, C. Maumet.
  Same Data - Different Software - Different Results? Analytic Variability of Group fMRI Results, in: OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-3.
  http://www.hal.inserm.fr/inserm-01933019
• 29S. Camarasu-Pop, A. Bonnet, C. Maumet, M. Kain, C. Barillot, T. Glatard.
  Interoperability with Boutiques and CARMIN, in: DI4R 2018 - Digital Infrastructures for Research, Lisbon, Portugal, October 2018, 1 p.
  https://www.hal.inserm.fr/inserm-01846997
• 30S. Camarasu-Pop, A. Bonnet, C. Maumet, M. Kain, C. Barillot, T. Glatard.
  Open Science for the Neuroinformatics community, in: DI4R 2018 - Digital Infrastructures for Research, Lisbon, Portugal, October 2018, 1 p.
  https://www.hal.inserm.fr/inserm-01846994
• 31S. Chatterjee, O. Commowick, O. Afacan, B. Combès, A. Kerbrat, S. K. Warfield, C. Barillot.
  A 3-year follow-up study of enhancing and non-enhancing multiple sclerosis (MS) lesions in MS patients demonstrating clinically isolated syndrome (CIS) using a multi-compartment T2 relaxometry (MCT2) model, in: ISMRM Annual Meeting 2018, Paris, France, June 2018, pp. 1-5.
  https://hal.archives-ouvertes.fr/hal-01821694
• 32S. Chatterjee, O. Commowick, O. Afacan, S. K. Warfield, C. Barillot.
  Multi-Compartment Model of Brain Tissues from T2 Relaxometry MRI Using Gamma Distribution, in: ISBI 2018 - IEEE International Symposium on Biomedical Imaging, Washington DC, United States, IEEE, April 2018, pp. 141-144. [ DOI : 10.1109/ISBI.2018.8363541 ]
  https://hal.archives-ouvertes.fr/hal-01744852
• 33J. Coloigner, J.-M. Batail, I. Corouge, J.-C. Ferré, D. Drapier, C. Barillot.
  Diffusion MRI as a descriptive imaging marker of the pathogenesis of treatment-resistant depression, in: ISMRM 2018 - International Society for Magnetic Resonance in Medicine, Paris, France, June 2018, pp. 1-2.
  https://hal.archives-ouvertes.fr/hal-01812087
• 34J. Coloigner, J.-M. Batail, I. Corouge, J.-C. Ferré, D. Drapier, C. Barillot.
  Diffusion MRI as an imaging marker of depression from a large and homogenous population study, in: ISMRM 2018, Paris, France, November 2018, pp. 1-2.
  https://hal.archives-ouvertes.fr/hal-01812093
• 35M. Fleury, P. Maurel, M. Mano, E. Bannier, C. Barillot.
  Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition, in: ISMRM 2018, Paris, France, June 2018, pp. 1-3, https://arxiv.org/abs/1809.06139. [ DOI : 10.1101/395806 ]
  https://hal.archives-ouvertes.fr/hal-01874815
• 36F. Galassi, O. Commowick, C. Barillot.
  Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions, in: International Society for Magnetic Resonance in Medicine (ISMRM 2018), Paris, France, June 2018, pp. 1-6.
  https://hal.archives-ouvertes.fr/hal-01823801
• 37F. Galassi, O. Commowick, E. Vallee, C. Barillot.
  Voxel-wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI, in: MICCAI BrainLes 2018 workshop, Granada, Spain, Lecture Notes in Computer Science, Alessandro Crimi and Spyridon Bakas, September 2018, pp. 1-10.
  http://www.hal.inserm.fr/inserm-01888928
• 38K. G. Helmer, K. B. David, T. Auer, S. Ghosh, C. Maumet, T. E. Nichols, P. Smruti, J.-B. Poline.
  Development of an Ontology for the INCF Neuroimaging Data Model (NIDM), in: OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-2.
  https://www.hal.inserm.fr/inserm-01932994
• 39A. Legouhy, O. Commowick, F. Rousseau, C. Barillot.
  Anisotropic similarity, a constrained affine transformation: Application to brain development analysis, in: ISMRM 2018, Paris, France, June 2018, 1 p.
  http://www.hal.inserm.fr/inserm-01871274
• 40T. Maullin-Sapey, C. Maumet, T. E. Nichols.
  Detecting and Interpreting Heterogeneity and Publication Bias in Image-Based Meta-Analyses, in: OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, Singapore, June 2018.
  http://www.hal.inserm.fr/inserm-01933023
• 41C. Maumet, T. E. Nichols.
  Choosing a practical and valid Image-Based Meta-Analysis, in: OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-3.
  http://www.hal.inserm.fr/inserm-01933032
• 42C. Maumet, T. E. Nichols.
  Validity of summary statistics-based mixed-effects group fMRI, in: OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-2.
  http://www.hal.inserm.fr/inserm-01887911
• 43A. A. Ould Ismail, D. Parker, M. Hernandez-Fernandez, S. Brem, S. Alexander, O. Pasternak, E. Caruyer, R. Verma.
  Characterizing Peritumoral Tissue Using Free Water Elimination in Clinical DTI, in: MICCAI 2018 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention ; Workshop : Brain Lesion, Granada, Spain, September 2018, pp. 1-9.
  http://www.hal.inserm.fr/inserm-01867347
• 44C. Paya, I. Corouge, E. Bannier, J.-C. Gentric, J.-C. Ferré.
  Pre-­-neurosurgical detection of cerebral motor areas by functional MRI: Comparison between Blood Oxygenation Level (BOLD) and functional Arterial Spin Labeling (fASL) techniques, in: 45e congrès annuel de la SFNR, Paris, France, March 2018.
  https://www.hal.inserm.fr/inserm-01963573
• 45M. Proisy, I. Corouge, A. Legouhy, V. Charon, N. Mazille, A. Nicolas, S. Leroux, B. Bruneau, C. Barillot, J. 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
• 46C. Vallée, P. Maurel, I. Corouge, C. Barillot.
  Resting-state ASL : Toward an optimal sequence duration, in: ISMRM 2018 - International Society for Magnetic Resonance in Medicine, Paris, France, June 2018, pp. 1-2, https://arxiv.org/abs/1811.11423.
  https://www.hal.inserm.fr/inserm-01935089

Internal Reports

• 47C. Barillot, I. Fijalkow, I. Queinnec, F. Theoleyre, H. Touzet, M. Beaudouin-Lafon, M.-P. Cani, F. Chaumette, G. Conreur, V. Cortier, C. Gavoille, G. –. Gogniat, J. Gossa, A. Herzig, J. Krivine, P. Lamarre, F. Lamnabhi-Lagarrigue, A.-C. Letournel, L. Seinturier, I. Tellier, S. Torres, C. Truchet, A. Tsoukias, M. Verleysen.
  Prospective Report of the scientific council of the Information Sciences and their interactions Institute of CNRS, CNRS, December 2018.
  https://hal.archives-ouvertes.fr/hal-01956087

Other Publications

• 48A. Bowring, C. Maumet, T. E. Nichols.
  Exploring the Impact of Analysis Software on Task fMRI Results, September 2018, working paper or preprint. [ DOI : 10.1101/285585 ]
  http://www.hal.inserm.fr/inserm-01760535
• 49S. Chatterjee, O. Commowick, O. Afacan, B. Combès, S. K. Warfield, C. Barillot.
  A three year follow-up study of gadolinium enhanced and non-enhanced regions in multiple sclerosis lesions using a multi-compartment T2 relaxometry model, July 2018, working paper or preprint. [ DOI : 10.1101/365379 ]
  https://hal.archives-ouvertes.fr/hal-01837974
• 51S. Crespo, M. Fasondini, C. Klein, N. Stoilov, C. Vallée.
  Multidomain Spectral Method for the Gauss Hypergeometric Function, 2018, https://arxiv.org/abs/1809.10422v1 - working paper or preprint.
  https://hal.inria.fr/hal-01935258
• 52C. Cury, S. Durrleman, D. M. 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. J. Laforce, E. Finger, A. De Mendonca, S. Sorbi, S. Ourselin, J. D. Rohrer, M. M. Modat.
  Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study, August 2018, working paper or preprint. [ DOI : 10.1101/385427 ]
  https://hal.inria.fr/hal-01856906
• 53P.-Y. Jonin, A. Noël, G. Besson, S. Muratot, S. Belliard, C. Barillot, E. Barbeau.
  Retrieval practice based on recognition memory: testing the retrieval effort hypothesis, April 2018, UC Irvine International Conference on Learning and Memory, Poster.
  http://www.hal.inserm.fr/inserm-01939069
• 54G. Lioi, M. Fleury, S. Butet, A. Lécuyer, C. Barillot, I. Bonan.
  Bimodal EEG-fMRI Neurofeedback for Stroke Rehabilitation BACKGROUND METHODS, July 2018, 1 p, ISPRM 2018 - 12th World Congress of the International Society of Physical and Rehabilitation Medicine, Poster.
  https://www.hal.inserm.fr/inserm-01932954
• 55C. Maumet, S. Ghosh, Y. O. Halchenko, J. Dorota, 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, January 2019, working paper or preprint.
  https://www.hal.inserm.fr/inserm-01972649
• 56C. Meurée, P. Maurel, J.-C. Ferré, C. Barillot.
  Patch-Based Super-Resolution of Arterial Spin Labeling Magnetic Resonance Images, September 2018, working paper or preprint.
  http://www.hal.inserm.fr/inserm-01880726
• 57R. Truffet, E. Caruyer.
  Optimal acquisition design for sparse reconstruction using dictionary learning in diffusion Magnetic Resonance Imaging, April 2018, 1 p, AI days 2018, Poster.
  http://www.hal.inserm.fr/inserm-01939066