Bibliography

Major publications by the team in recent years

• 1C. Bénar, T. Papadopoulo, B. Torrésani, M. Clerc.
  
  Consensus Matching Pursuit for Multi-Trial EEG Signals, in: Journal of Neuroscience Methods, 2009, vol. 180, pp. 161–170. [ DOI : DOI: 10.1016/j.jneumeth.2009.03.005 ]
  
  http://www.sciencedirect.com/science/article/B6T04-4VWHVX5-2/2/e6ebdc581a60cde843503fe30f9940d1
• 2E. Caruyer, C. Lenglet, G. Sapiro, R. Deriche.
  
  Design of multishell sampling schemes with uniform coverage in diffusion MRI, in: Magnetic Resonance in Medicine, June 2013, vol. 69, n^o 6, pp. 1534–1540. [ DOI : 10.1002/mrm.24736 ]
  
  http://hal.inria.fr/hal-00821688/
• 3M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
  
  Regularized, Fast, and Robust Analytical Q-Ball Imaging, in: Magnetic Resonance in Medicine, 2007, vol. 58, n^o 3, pp. 497–510.
  
  ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-angelino-etal:07.pdf
• 4M. Descoteaux, R. Deriche, T. R. Knosche, A. Anwander.
  
  Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions, in: IEEE Transactions in Medical Imaging, February 2009, vol. 28, n^o 2, pp. 269–286.
  
  ftp://ftp-sop.inria.fr/odyssee/Publications/2009/descoteaux-deriche-etal:09.pdf
• 5R. Fick, D. Wassermann, E. Caruyer, R. Deriche.
  
  MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data, in: Neuroimage, July 2016, vol. 134, pp. 365–385. [ DOI : 10.1016/j.neuroimage.2016.03.046 ]
  
  https://hal.inria.fr/hal-01291929
• 6G. Gallardo-Diez, W. Wells, R. Deriche, D. Wassermann.
  
  Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach, in: Neuroimage, February 2017, Available online 1 February 2017. [ DOI : 10.1016/j.neuroimage.2017.01.070 ]
  
  http://www.sciencedirect.com/science/article/pii/S1053811917300940
• 7G. Girard, A. Daducci, L. Petit, J.-P. Thiran, K. Whittingtall, R. Deriche, D. Wassermann, M. Descoteaux.
  
  AxTract: Toward microstructure informed tractography, in: Human Brain Mapping, November 2017, vol. 38, n^o 11, pp. 5485-5500.
  
  http://onlinelibrary.wiley.com/doi/10.1002/hbm.23741/abstract
• 8S. Hitziger, M. Clerc, S. Saillet, C. Bénar, T. Papadopoulo.
  
  Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals, in: IEEE Transactions on Signal Processing, April 2017, vol. 65, n^o 16, pp. 4324–4338.
  
  http://dx.doi.org/10.1109/TSP.2017.2698415
• 9S. Vallaghé, T. Papadopoulo.
  
  A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem, in: SIAM Journal on Scientific Computing, 2010, vol. 32, n^o 4, pp. 2379–2394.
  
  http://epubs.siam.org/doi/pdf/10.1137/09075038X
• 10D. Wassermann, N. Makris, Y. Rathi, M. Shenton, R. Kikinis, M. Kubicki, C.-F. Westin.
  
  The white matter query language: a novel approach for describing human white matter anatomy, in: Brain Structure and Function, December 2016, vol. 221, n^o 9, 4705—4721 p. [ DOI : doi: 10.1007/s00429-015-1179-4 ]
  
  http://link.springer.com/article/10.1007%2Fs00429-015-1179-4

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 11B. Belaoucha.
  
  Using diffusion MR information to reconstruct networks of brain activations from MEG and EEG measurements, Université Côte d'Azur, May 2017.
  
  https://hal.inria.fr/tel-01534876
• 12K. Dang.
  
  Electrical conduction models for cochlear implant stimulation, Université Côte d'Azur, June 2017.
  
  https://hal.inria.fr/tel-01562277
• 13R. Fick.
  
  Advanced dMRI signal modeling for tissue microstructure characterization, Université Côte d'Azur, March 2017.
  
  https://tel.archives-ouvertes.fr/tel-01534104
• 14C. Papageorgakis.
  
  Patient specific conductivity models: characterization of the skull bones, Université Côte d’Azur, December 2017.
  
  https://hal.inria.fr/tel-01662075
• 15M. Pizzolato.
  
  Computational diffusion & perfusion MRI in brain imaging, Université Côte d'Azur, March 2017.
  
  https://hal.inria.fr/tel-01536335

Articles in International Peer-Reviewed Journals

• 16U. Ferizi, B. Scherrer, T. Schneider, M. Alipoor, O. Eufracio, R. H. Fick, R. Deriche, M. Nilsson, A. K. Loya-Olivas, M. Rivera, D. H. Poot, A. Ramirez-Manzanares, J. L. Marroquin, A. Rokem, C. Pötter, R. F. Dougherty, K. Sakaie, C. Wheeler-Kingshott, S. K. Warfield, T. Witzel, L. L. Wald, J. G. Raya, D. C. Alexander.
  
  Diffusion MRI microstructure models with in vivo human brain Connectom data: results from a multi-group comparison, in: NMR in Biomedicine, September 2017, vol. 30, n^o 9. [ DOI : 10.1002/nbm.3734 ]
  
  https://hal.archives-ouvertes.fr/hal-01500472
• 17R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehericy, R. Deriche, D. Wassermann.
  
  Non-Parametric GraphNet-Regularized Representation of dMRI in Space and Time, in: Medical Image Analysis, 2017. [ DOI : 10.1016/j.media.2017.09.002 ]
  
  https://hal.inria.fr/hal-01578296
• 18G. Gallardo, W. Wells Iii, R. Deriche, D. Wassermann.
  
  Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach, in: NeuroImage, February 2017. [ DOI : 10.1016/j.neuroimage.2017.01.070 ]
  
  https://hal.archives-ouvertes.fr/hal-01426625
• 19G. Girard, A. Daducci, L. Petit, J.-P. Thiran, K. Whittingstall, R. Deriche, D. Wassermann, M. Descoteaux.
  
  AxTract: Toward Microstructure Informed Tractography, in: Human Brain Mapping, 2017. [ DOI : 10.1002/hbm.23741 ]
  
  https://hal.inria.fr/hal-01564041
• 20V. Guy, M. H. Soriani, M. Bruno, T. Papadopoulo, C. Desnuelle, M. Clerc.
  
  Brain computer interface with P300-Speller: usability for disabled patients with Amyotrophic Lateral Sclerosis, in: Annals of Physical and Rehabilitation Medicine, 2017.
  
  https://hal.inria.fr/hal-01562276
• 21S. Hitziger, M. Clerc, S. Saillet, C. Bénar, T. Papadopoulo.
  
  Adaptive Waveform Learning: A Framework for Modeling Variability in Neurophysiological Signals, in: IEEE Transactions on Signal Processing, August 2017, vol. 65, pp. 4324 - 4338. [ DOI : 10.1109/TSP.2017.2698415 ]
  
  https://hal.inria.fr/hal-01548428
• 22K. H. Maier-Hein, P. F. Neher, C. Houde, M.-A. Côté, E. Garyfallidis, J. Zhong, M. Chamberland, F.-C. Yeh, Y.-C. Lin, Q. Ji, W. E. Reddick, J. O. Glass, D. Qixiang Chen, Y. Feng, C. Gao, Y. Wu, J. Ma, H. Renjie, Q. Li, C.-F. Westin, S. Deslauriers-Gauthier, J. O. O. González, M. Paquette, S. St-Jean, G. Girard, F. Rheault, J. Sidhu, C. M. W. Tax, F. Guo, H. Y. Mesri, S. Dávid, M. Froeling, A. M. Heemskerk, A. Leemans, A. Boré, B. Pinsard, C. Bedetti, M. Desrosiers, B. Brambati, J. Doyon, A. Sarica, R. Vasta, A. Cerasa, A. Quattrone, J. Yeatman, A. R. Khan, W. Hodges, S. Alexander, D. Romascano, M. Barakovic, A. Auría, O. Esteban, A. Lemkaddem, J.-P. Thiran, H. E. Cetingul, B. L. Odry, B. Mailhé, M. S. Nadar, F. M. Pizzagalli, G. Prasad, J. E. Villalon-Reina, J. Galvis, P. M. Thompson, F. D. S. Requejo, P. L. Laguna, L. M. Lacerda, R. Barrett, F. Dell’Acqua, M. Catani, L. Petit, E. Caruyer, A. Daducci, T. Dyrby, T. Holland-Letz, C. C. Hilgetag, B. Stieltjes, M. Descoteaux.
  
  The challenge of mapping the human connectome based on diffusion tractography, in: Nature Communications, December 2017, vol. 8, n^o 1. [ DOI : 10.1038/s41467-017-01285-x ]
  
  https://hal.inria.fr/hal-01631578
• 23I. Norton, I. Essayed, F. Zhang, S. Pujol, A. Yarmarkovich, A. J. Golby, G. Kindlmann, D. Wassermann, R. San José Estepar, Y. Rathi, S. Pieper, R. Kikinis, H. J. Johnson, C.-F. Westin, L. J. O'Donnell.
  
  SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research, in: Cancer Research, 2017. [ DOI : 10.1158/0008-5472.CAN-17-0332 ]
  
  https://hal.inria.fr/hal-01564088
• 24L. Perronnet, A. Lécuyer, M. Mano, E. Bannier, F. Lotte, M. Clerc, C. Barillot.
  
  Unimodal Versus Bimodal EEG-fMRI Neurofeedback of a Motor Imagery Task, in: Frontiers in Human Neuroscience, April 2017, vol. 11. [ DOI : 10.3389/fnhum.2017.00193 ]
  
  https://hal.inria.fr/hal-01519755
• 25M. Pizzolato, T. Boutelier, R. Deriche.
  
  Perfusion deconvolution in DSC-MRI with dispersion-compliant bases, in: Medical Image Analysis, 2017, vol. 36, pp. 197 - 215. [ DOI : 10.1016/j.media.2016.12.001 ]
  
  https://hal.inria.fr/hal-01536292

Invited Conferences

• 26M. Clerc, J. Leblond, J.-P. Marmorat, C. Papageorgakis.
  
  Inverse conductivity recovery problem in a spherical geometry from EEG data: uniqueness, reconstruction and stability results, in: TAMTAM 2017 - 8ème colloque, Tendances dans les Applications Mathématiques en Tunisie Algérie Maroc, Hammamet, Tunisia, May 2017, 1 p.
  
  https://hal.inria.fr/hal-01526931

International Conferences with Proceedings

• 27A. O. Y. Alimi, M. Pizzolato, R. H. Fick, R. Deriche.
  
  Solving the Inclination Sign Ambiguity in Three Dimensional Polarized Light Imaging with a PDE-Based Method, in: IEEE International Symposium on Biomedical Imaging (ISBI2017), Melbourne, Australia, April 2017.
  
  https://hal.inria.fr/hal-01533363
• 29B. Belaoucha, T. Papadopoulo.
  
  Spatial regularization based on dMRI to solve EEG/MEG inverse problem, in: EMBC 2017 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Jeju, South Korea, July 2017.
  
  https://hal.inria.fr/hal-01533396
• 30M. Clerc, A. Gramfort, E. Olivi, T. Papadopoulo.
  
  OpenMEEG software for forward problems handling non-nested geometries, in: BaCI Conference 2017: International Conference on Basic and Clinical Multimodal Imaging, Bern, Switzerland, August 2017.
  
  https://hal.inria.fr/hal-01581710
• 31R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehericy, R. Deriche, D. Wassermann.
  
  Multi-Spherical Diffusion MRI: An in-vivo Test- Retest Study of Time-Dependent q-space Indices, in: ISMRM: 25th Annual Meeting & Exhibition, Honolulu, United States, April 2017.
  
  https://hal.archives-ouvertes.fr/hal-01468214
• 32R. H. Fick, N. Sepasian, M. Pizzolato, A. Ianus, R. Deriche.
  
  Assessing the Feasibility of Estimating Axon Diameter using Diffusion Models and Machine Learning, in: IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, April 2017.
  
  https://hal.archives-ouvertes.fr/hal-01451664
• 33P. Filipiak, R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehericy, R. Deriche, D. Wassermann.
  
  Spatio-Temporal dMRI Acquisition Design: Reducing the Number of $q\tau$ Samples Through a Relaxed Probabilistic Model, in: MICCAI 2017 Workshop on Computational Diffusion MRI (CDMRI 2017), Québec City, Canada, September 2017.
  
  https://hal.inria.fr/hal-01562617
• 34N. T. H. Gayraud, A. Rakotomamonjy, M. Clerc.
  
  Optimal Transport Applied to Transfer Learning For P300 Detection, in: BCI 2017 - 7th Graz Brain-Computer Interface Conference, Graz, Austria, September 2017, 6 p.
  
  https://hal.inria.fr/hal-01556603
• 35N. Lascano, G. Gallardo, R. Deriche, D. Mazauric, D. Wassermann.
  
  Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches, in: Information Processing in Medical Imaging, Boone, United States, 2017.
  
  https://hal.inria.fr/hal-01426870

Conferences without Proceedings

• 36L. Chen, D. Wassermann, J. Kochalka, V. Menon.
  
  Concordance between white-matter pathways and functional circuits linking the VWFA and IPS, in: Organisation for the Human Brain Mapping, Vancouver, Canada, July 2017.
  
  https://hal.inria.fr/hal-01558273
• 37S. Deslauriers-Gauthier, J.-M. Lina, R. Butler, P.-M. Bernier, K. Whittingstall, R. Deriche, M. Descoteaux.
  
  Inference and Visualization of Information Flow in the Visual Pathway using dMRI and EEG, in: MICCAI 2017 Medical Image Computing and Computer Assisted Intervention, Québec, Canada, September 2017.
  
  https://hal.archives-ouvertes.fr/hal-01556352
• 38G. Gallardo, R. Deriche, D. Wassermann.
  
  A Novel Parcellation of Human Cerebral Cortex based on Extrinsic Connectivity, in: Organization for Human Brain Mapping 2017 Annual Meeting, Vancouver, Canada, June 2017.
  
  https://hal.archives-ouvertes.fr/hal-01533516
• 39G. Gallardo, D. Wassermann, R. Deriche, M. Descoteaux, S. Deslauriers-Gauthier.
  
  Information Flow in the White Matter During a Motor Task: A Structural Connectivity Driven Approach, in: OHBM 2017 Organization for Human Brain Mapping Annual Meeting, Vancouver, Canada, June 2017.
  
  https://hal.archives-ouvertes.fr/hal-01534978
• 40K. Maksymenko, T. Papadopoulo, M. Clerc.
  
  A fast EEG forward problem approximation method and its application to tissue conductivity estimation, in: International Conference on Basic and Clinical Multimodal Imaging, Bern, Switzerland, August 2017.
  
  https://hal.inria.fr/hal-01563293
• 41C. Papageorgakis, S. Hitziger, T. Papadopoulo.
  
  Dictionary Learning for Multidimensional Data, in: Proceedings of GRETSI 2017, Juan-les-Pins, France, September 2017.
  
  https://hal.inria.fr/hal-01575263

Other Publications

• 42A. O. Y. Alimi, S. Deslauriers-Gauthier, R. Deriche.
  
  Regularizing the ODF estimate with the Laplace-Beltrami operator in 3D Polarized Light Imaging, November 2017, 1 p, CoBCoM 2017 - Computational Brain Connectivity Mapping Winter School Workshop, Poster.
  
  https://hal.inria.fr/hal-01659253
• 43R. H. Fick, M. Pizzolato, D. Wassermann, R. Deriche.
  
  Diffusion MRI Anisotropy: Modeling, Analysis and Interpretation, February 2017, working paper or preprint.
  
  https://hal.archives-ouvertes.fr/hal-01468675
• 44P. Görlach, E. Hubert, T. Papadopoulo.
  
  Rational invariants of ternary forms under the orthogonal group, August 2017, working paper or preprint.
  
  https://hal.inria.fr/hal-01570853
• 45A.-C. Philippe, S. Lavault, R. H. Fick, D. Wassermann, R. Valabregue, R. Deriche, R. Levy, I. Arnulf, S. Lehericy.
  
  Brain correlates of apathy in Kleine Levin syndrome: a mean apparent propagator study, May 2017, International Symposium for Magnetic Resonance in Medicine, Poster.
  
  https://hal.inria.fr/hal-01558278

References in notes

• 46H. Johansen-Berg, T. E. J. Behrens (editors)
  
  Diffusion MRI : From Quantitative Measurement to In vivo Neuroanatomy, Elevier - Academic Press, 2009.
• 47D. K. Jones (editor)
  
  Diffusion MRI: Theory, Methods, and Applications, Oxford University Press, 2011.
• 48Y. Assaf, P. Basser.
  
  Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, in: Neuroimage, August 2005, vol. 27, n^o 1, pp. 48-58.
• 49Y. Assaf, T. Blumenfeld-Katzir, Y. Yovel, P. J. Basser.
  
  AxCaliber: a method for measuring axon diameter distribution from diffusion MRI, in: Magnetic Resonance in Medicine, 2008, vol. 59, n^o 6, pp. 1347–54.
  
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• 50H.-E. Assemlal, J. Campbell, B. Pike, K. Siddiqi.
  
  Apparent Intravoxel Fibre Population Dispersion (FPD) Using Spherical Harmonics, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, G. Fichtinger, A. Martel, T. Peters (editors), Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 2011, vol. 6892, pp. 157-165.
  
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• 51H. Assemlal, D. Tschumperlé, L. Brun.
  
  Efficient and robust computation of PDF features from diffusion MR signal, in: Medical Image Analysis, 2009, vol. 13, n^o 5, pp. 715–729.
• 52A. Barmpoutis, M. S. Hwang, D. Howland, J. R. Forder, B. C. Vemuri.
  
  Regularized Positive-Definite Fourth-Order Tensor Field Estimation from DW-MRI, in: NeuroImage, March 2009, vol. 45, n^o 1, pp. S153-162. [ DOI : 10.1016/j.neuroimage.2008.10.056 ]
  
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• 53P. J. Basser, J. Mattiello, D. Le Bihan.
  
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• 54P. J. Basser, J. Mattiello, D. Le Bihan.
  
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• 55B. Belaoucha, M. Clerc, T. Papadopoulo.
  
  Cortical Surface Parcellation via dMRI using Mutual Nearest Neighbor Condition, in: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, April 2016, pp. 903–906.
  
  http://ieeexplore.ieee.org/document/7493411/
• 56B. Belaoucha, M. Kachouane, T. Papadopoulo.
  
  Multivariate autoregressive model constrained by anatomical connectivity to reconstruct focal sources, in: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), August 2016, pp. 4067–4070. [ DOI : 10.1109/EMBC.2016.7591620 ]
  
  http://ieeexplore.ieee.org/document/7591620/
• 57B. Belaoucha, T. Papadopoulo.
  
  Iterative two-stage approach to estimate sources and their interactions, in: 20th International Conference on Biomagnetism (BIOMAG2016), Seoul, South Korea, October 2016.
  
  https://hal.inria.fr/hal-01377967
• 58S. Bhattacharyya, M. Clerc, M. Hayashibe.
  
  A study on the effect of electrical stimulation as a user stimuli for motor imagery classification in Brain-Machine Interface, in: European Journal of Translational Myology, June 2016, vol. 26, n^o 2, pp. 165-168. [ DOI : 10.4081/ejtm.2016.6041 ]
  
  https://hal-lirmm.ccsd.cnrs.fr/lirmm-01402537
• 59P. T. Callaghan.
  
  Principles of nuclear magnetic resonance microscopy, Oxford University Press, Oxford, 1991.
• 60E. Caruyer.
  
  Q-Space diffusion MRI: Acquisition and signal processing, University of Nice Sophia Antipolis, July 2012.
  
  http://hal.inria.fr/tel-00750144
• 61E. Caruyer, R. Verma.
  
  On facilitating the use of {HARDI} in population studies by creating rotation-invariant markers, in: Medical Image Analysis, 2015, vol. 20, n^o 1, pp. 87 - 96. [ DOI : 10.1016/j.media.2014.10.009 ]
  
  http://www.sciencedirect.com/science/article/pii/S1361841514001558
• 62J. Cheng.
  
  Estimation and Processing of Ensemble Average Propagator and Its Features in Diffusion MRI, University of Nice Sophia Antipolis, May 2012.
  
  http://hal.inria.fr/tel-00759048
• 63M. Clerc, J. Leblond, J.-P. Marmorat, C. Papageorgakis.
  
  On some inverse conductivity recovery problem in a sphere: Uniqueness and reconstruction results with applications to EEG, in: Problèmes Inverses, Contrôle et Optimisation de Formes (PICOF), Autrans, France, June 2016.
  
  https://hal.inria.fr/hal-01410030
• 64M. Clerc, J. Leblond, J.-P. Marmorat, C. Papageorgakis.
  
  Uniqueness result for an inverse conductivity recovery problem with application to EEG, in: Rendiconti dell'Istituto di Matematica dell'Università di Trieste. An International Journal of Mathematics, 2016, vol. 48, To appear, special issue dedicated to Giovanni Alessandrini.
  
  https://hal.archives-ouvertes.fr/hal-01303640
• 65M. Clerc, J. Mattout, E. Maby, D. Devlaminck, T. Papadopoulo, V. Guy, C. Desnuelle.
  
  Verbal Communication through Brain Computer Interfaces, in: Interspeech - 14th Annual Conference of the International Speech Communication Association - 2013, Lyon, France, Frédéric Bimbot, 2013, grant from Association pour la Recherche sur la Sclérose Latérale Amyotrophique.
  
  http://hal.inria.fr/hal-00842851
• 66K. Dang, M. Clerc, C. Vandersteen, N. Guevara, D. Gnansia.
  
  In situ validation of a parametric model of electrical field distribution in an implanted cochlea, in: 7th International IEEE EMBS Conference on Neural Engineering, Montpellier, France, France, April 2015. [ DOI : 10.1109/NER.2015.7146711 ]
  
  https://hal.inria.fr/hal-01242020
• 67K. Dang, P. Stahl, C. Vandersteen, N. Guevara, D. Gnansia, M. Clerc.
  
  Evaluation of the current distribution of the hybrid common ground stimulation in cochlear implants, in: 9th International Symposium on Objective Measures in Auditory Implants (OMAI), June 2016, Poster.
  
  https://hal.inria.fr/hal-01377653
• 68R. Deriche, J. Calder, M. Descoteaux.
  
  Optimal Real-Time Q-Ball Imaging Using Regularized Kalman Filtering with Incremental Orientation Sets, in: Medical Image Analysis, August 2009, vol. 13, n^o 4, pp. 564–579.
  
  http://dx.doi.org/10.1016/j.media.2009.05.008
• 69M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
  
  Apparent Diffusion Coefficients from High Angular Resolution Diffusion Imaging: Estimation and Applications, in: Magnetic Resonance in Medicine, 2006, vol. 56, pp. 395–410.
  
  ftp://ftp-sop.inria.fr/odyssee/Publications/2006/descoteaux-angelino-etal:06c.pdf
• 70M. Descoteaux, R. Deriche.
  
  High Angular Resolution Diffusion MRI Segmentation Using Region-Based Statistical Surface Evolution, in: Journal of Mathematical Imaging and Vision, February 2009, vol. 33, n^o 2, pp. 239-252.
  
  ftp://ftp-sop.inria.fr/odyssee/Publications/2009/descoteaux-deriche:09.pdf
• 71M. Descoteaux, R. Deriche, D. Le Bihan, J.-F. Mangin, C. Poupon.
  
  Multiple q-shell diffusion propagator imaging, in: Medical Image Analysis, 2011, vol. 15, n^o 4, pp. 603–621. [ DOI : DOI: 10.1016/j.media.2010.07.001 ]
  
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• 72M. Descoteaux.
  
  High Angular Resolution Diffusion MRI: From Local Estimation to Segmentation and Tractography, University of Nice Sophia Antipolis, February 2008.
  
  ftp://ftp-sop.inria.fr/odyssee/Publications/PhDs/descoteaux_thesis.pdf
• 73Q. Dong, R. C. Welsh, T. L. Chenevert, R. C. Carlos, P. Maly-Sundgren, D. M. Gomez-Hassan, S. K. Mukherji.
  
  Clinical Applications of Diffusion Tensor Imaging, in: Journal of Magnetic Resonance Imaging, 2004, vol. 19, pp. 6–18.
• 74N. T. H. Gayraud, N. Foy, M. Clerc.
  
  A Separability Marker Based on High-Dimensional Statistics for Classification Confidence Assessment, in: IEEE International Conference on Systems, Man, and Cybernetics October 9-12, Budapest, Hungary, October 2016.
  
  https://hal.inria.fr/hal-01407759
• 75A. Ghosh, R. Deriche.
  
  From Second to Higher Order Tensors in Diffusion-MRI, in: Tensors in Image Processing and Computer Vision, S. Aja-Fernández, R. de Luis García, D. Tao, X. Li (editors), Advances in Pattern Recognition, Springer London, May 2009, chap. 9, pp. 315-. [ DOI : 10.1007/978-1-84882-299-3 ]
  
  http://www.springer.com/computer/computer+imaging/book/978-1-84882-298-6
• 76A. Ghosh, R. Deriche.
  
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