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Bibliography

Major publications by the team in recent years Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 12T. Z. Benmerar, M. Kachouane, F. Oulebsir Boumghar, R. Deriche.

    A Hybrid SaaS/Grid Architecture for Diffusion MRI in Brain Imaging Field: SaaS as a New Access Model for Computation Grids, in: International Journal of Organizational and Collective Intelligence (IJOCI), March 2015, vol. 4, no 4, 35 p. [ DOI : 10.4018/ijoci.2014100102 ]

    https://hal.inria.fr/hal-01239760
  • 13M. Dyson, E. Thomas, L. Casini, B. Burle.

    Online extraction and single trial analysis of regions contributing to erroneous feedback detection, in: NeuroImage, November 2015, vol. 121, pp. 146-158. [ DOI : 10.1016/j.neuroimage.2015.06.041 ]

    https://hal.inria.fr/hal-01199206
  • 14E. Garyfallidis, O. Cepeda, D. Wassermann, M. Descoteaux.

    Robust and efficient linear registration of white-matter fascicles in the space of streamlines, in: NeuroImage, 2015, forthcoming. [ DOI : 10.1016/j.neuroimage.2015.05.016 ]

    https://hal.inria.fr/hal-01153043
  • 15A. Ghosh, R. Deriche.

    A survey of current trends in diffusion MRI for structural brain connectivity, in: Journal of Neural Engineering, February 2016, vol. 13, no 1, 14 p.

    https://hal.archives-ouvertes.fr/hal-01251770
  • 16D. Jolles, D. Wassermann, R. Chokhani, J. Richardson, C. Tenison, R. Bammer, L. Fuchs, K. Supekar, V. Menon.

    Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learningBrain Structure and Function, in: Brain Structure and Function, 2015, 15 p. [ DOI : 10.1007/s00429-014-0975-6 ]

    https://hal.inria.fr/hal-01099660
  • 17J. T. Matsui, J. G. Vaidya, D. Wassermann, R. E. Kim, V. A. Magnotta, H. J. Johnson, J. S. Paulsen.

    Prefrontal cortex white matter tracts in prodromal Huntington disease, in: Human Brain Mapping, September 2015, vol. 36, no 10, pp. 3717-32. [ DOI : 10.1002/hbm.22835 ]

    https://hal.inria.fr/hal-01152276
  • 18L. Ning, F. Laun, Y. Gur, E. V. DiBella, S. Deslauriers-Gauthier, T. Megherbi, A. Ghosh, M. Zucchelli, G. Menegaz, R. Fick, S. St-Jean, M. Paquette, R. Aranda, M. Descoteaux, R. Deriche, L. O’Donnell, Y. Rathi.

    Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?, in: Medical Image Analysis, December 2015, vol. 26, pp. 316–331. [ DOI : 10.1016/j.media.2015.10.012 ]

    https://hal.archives-ouvertes.fr/hal-01240197
  • 19J. M. Portegies, R. H. J. Fick, G. R. Sanguinetti, S. P. L. Meesters, G. Girard, R. Duits, A. Leemans.

    Improving Fiber Alignment in HARDI by Combining Contextual PDE Flow with Constrained Spherical Deconvolution, in: PLoS ONE, October 2015, vol. 10, no 10. [ DOI : 10.1371/journal.pone.0138122 ]

    https://hal.inria.fr/hal-01242740
  • 20R. E. Trachel, M. Clerc, T. G. Brochier.

    Decoding covert shifts of attention induced by ambiguous visuospatial cues, in: Frontiers in Human Neuroscience, June 2015, 9 p. [ DOI : 10.3389/fnhum.2015.00358 ]

    https://hal-amu.archives-ouvertes.fr/hal-01202766
  • 21D. 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, 2016. [ DOI : 10.1007/s00429-015-1179-4 ]

    https://hal.inria.fr/hal-01247061

International Conferences with Proceedings

  • 22B. Belaoucha, J.-M. Lina, M. Clerc, T. Papadopoulo.

    MEM-diffusion MRI framework to solve MEEG inverse problem, in: EUSIPCO 2015 : European Signal Processing Conference 2015, Nice, France, August 2015.

    https://hal.inria.fr/hal-01207165
  • 23G. Girard, R. H. Fick, M. Descoteaux, R. Deriche, D. Wassermann.

    AxTract: microstructure-driven tractography based on the ensemble average propagator, in: Information Processing in Medical Imaging, Isle of Skye, United Kingdom, Springer, June 2015. [ DOI : 10.1007/978-3-319-19992-4_53 ]

    https://hal.inria.fr/hal-01152267

Conferences without Proceedings

  • 24B. Belaoucha, T. Papadopoulo.

    MEG/EEG reconstruction in the reduced source space, in: International Conference on Basic and Clinical Multimodal Imaging, Utrecht, Netherlands, September 2015.

    https://hal.inria.fr/hal-01207169
  • 25K. 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
  • 26R. H. Fick, D. Wassermann, M. Pizzolato, R. Deriche.

    A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI, in: International Processing in Medical Imaging (IPMI), Isle of Skye, Scotland, United Kingdom, June 2015.

    https://hal.inria.fr/hal-01140070
  • 27R. H. Fick, D. Wassermann, G. Sanguinetti, R. Deriche.

    Laplacian-Regularized MAP-MRI: Improving Axonal Caliber Estimation, in: International Symposium on BIOMEDICAL IMAGING: From Nano to Macro, Brooklyn, New York City, United States, April 2015.

    https://hal.inria.fr/hal-01140021
  • 28R. H. Fick, M. Zucchelli, G. Girard, M. Descoteaux, G. Menegaz, R. Deriche.

    Using 3D-SHORE and MAP-MRI to Obtain Both Tractography and Microstructural Constrast from a Clinical DMRI Acquisition, in: International Symposium on BIOMEDICAL IMAGING: From Nano to Macro, Brooklyn, New York City, United States, April 2015.

    https://hal.inria.fr/hal-01140011
  • 29R. H. Fick, M. Zucchelli, G. Girard, G. Menegaz, M. Descoteaux, R. Deriche.

    How to get more out of a clinically feasible 64 Gradient dMRI Acquisition: Multi-Shell versus Single-Shell, in: International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Ontario, Canada, May 2015.

    https://hal.inria.fr/hal-01140076
  • 30G. Girard, K. Whittingstall, R. Deriche, M. Descoteaux.

    Structural connectivity reproducibility through multiple acquisitions, in: Organization for Human Brain Mapping, Honolulu, United States, June 2015.

    https://hal.inria.fr/hal-01174327
  • 31G. Girard, K. Whittingstall, R. Deriche, M. Descoteaux.

    Studying white matter tractography reproducibility through connectivity matrices, in: International Symposium on Magnetic Resonance in Medicine, Toronto, Canada, May 2015.

    https://hal.inria.fr/hal-01174328
  • 32C. Papageorgakis, S. Hitziger, T. Papadopoulo.

    Dictionary learning for M/EEG multidimensional data, in: International conference on basic and clinical multimodal imaging (BACI), Utrecht, Netherlands, September 2015.

    https://hal.archives-ouvertes.fr/hal-01243284
  • 33C. Papageorgakis, B. Lanfer, M. Clerc.

    Influence of skull modelling on conductivity estimation for EEG source analysis, in: International conference on basic and clinical multimodal imaging (BACI), Utrecht, Netherlands, September 2015.

    https://hal.inria.fr/hal-01244392
  • 34M. Pizzolato, A. Ghosh, T. Boutelier, R. Deriche.

    Perfusion MRI Deconvolution with Delay Estimation and Non-Negativity Constraints, in: International Symposium on Biomedical Imaging, Brooklyn, New York, United States, April 2015. [ DOI : 10.1109/ISBI.2015.7164057 ]

    https://hal.inria.fr/hal-01143213
  • 35M. Pizzolato, D. Wassermann, T. Boutelier, R. Deriche.

    Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes, in: Medical Image Computing and Computer Assisted Intervention, Munich, Germany, 2015. [ DOI : 10.1007/978-3-319-24553-9_14 ]

    https://hal.inria.fr/hal-01152672
  • 36M. Pizzolato, D. Wassermann, T. Duval, J. S. W. Campbell, T. Boutelier, J. Cohen-Adad, R. Deriche.

    A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study, in: Computational Diffusion Magnetic Resonance Imaging, Munich, Germany, October 2015.

    https://hal.inria.fr/hal-01218143

Scientific Books (or Scientific Book chapters)

  • 37F. Lotte, L. Bougrain, M. Clerc.

    Electroencephalography (EEG)-based Brain-Computer Interfaces, in: Wiley Encyclopedia of Electrical and Electronics Engineering, Wiley, 2015, 44 p. [ DOI : 10.1002/047134608X.W8278 ]

    https://hal.inria.fr/hal-01167515

Other Publications

  • 38K. Dang, C. Vandersteen, N. Guevara, M. Clerc, D. Gnansia.

    Realistic Simulation of Electric Potential Distributions of Different Stimulation Modes in an Implanted Cochlea, February 2015, Association of Research in Otolaryngology 38th MidWinter Meeting, Poster.

    https://hal.inria.fr/hal-01128098
References in notes
  • 39H. Johansen-Berg, T. E. Behrens (editors)

    Diffusion MRI : From Quantitative Measurement to In vivo Neuroanatomy, Elevier - Academic Press, 2009.
  • 40D. K. Jones (editor)

    Diffusion MRI: Theory, Methods, and Applications, Oxford University Press, 2011.
  • 41Y. Assaf, P. Basser.

    Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, in: Neuroimage, August 2005, vol. 27, no 1, pp. 48-58.
  • 42Y. 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, no 6, pp. 1347–54.

    http://www.ncbi.nlm.nih.gov/pubmed/18506799
  • 43H.-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.

    http://dx.doi.org/10.1007/978-3-642-23629-7_20
  • 44H. Assemlal, D. Tschumperlé, L. Brun.

    Efficient and robust computation of PDF features from diffusion MR signal, in: Medical Image Analysis, 2009, vol. 13, no 5, pp. 715–729.
  • 45A. 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, no 1, pp. S153-162.. [ DOI : 10.1016/j.neuroimage.2008.10.056 ]

    http://www.sciencedirect.com/science/journal/10538119
  • 46P. J. Basser, J. Mattiello, D. Le Bihan.

    Estimation of the effective self-diffusion tensor from the NMR spin echo, in: Journal of Magnetic Resonance, 1994, vol. B, no 103, pp. 247–254.
  • 47P. J. Basser, J. Mattiello, D. Le Bihan.

    MR Diffusion Tensor Spectroscopy and imaging, in: Biophysical Journal, 1994, vol. 66, no 1, pp. 259–267.
  • 48P. T. Callaghan.

    Principles of nuclear magnetic resonance microscopy, Oxford University Press, Oxford, 1991.
  • 49E. Caruyer.

    Q-Space diffusion MRI: Acquisition and signal processing, University of Nice Sophia Antipolis, July 2012.

    http://hal.inria.fr/tel-00750144
  • 50J. 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
  • 51M. 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
  • 52M. 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, no 2, pp. 239-252.

    ftp://ftp-sop.inria.fr/odyssee/Publications/2009/descoteaux-deriche:09.pdf
  • 53M. Descoteaux, R. Deriche, D. Le Bihan, J.-F. Mangin, C. Poupon.

    Multiple q-shell diffusion propagator imaging, in: Medical Image Analysis, 2011, vol. 15, no 4, pp. 603–621. [ DOI : DOI: 10.1016/j.media.2010.07.001 ]

    http://www.sciencedirect.com/science/article/B6W6Y-50HYGF0-1/2/647c6da427c692f0968d6647ecb952f7
  • 54M. 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
  • 55Q. Dong, R. Welsh, T. Chenevert, R. Carlos, P. Maly-Sundgren, D. Gomez-Hassan, S. Mukherji.

    Clinical Applications of Diffusion Tensor Imaging, in: Journal of Magnetic Resonance Imaging, 2004, vol. 19, pp. 6–18.
  • 56A. 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. [ DOI : 10.1007/978-1-84882-299-3 ]

    http://www.springer.com/computer/computer+imaging/book/978-1-84882-298-6
  • 57A. Ghosh, R. Deriche.

    From Diffusion MRI to Brain Connectomics, in: Modeling in Computational Biology and Medicine: A Multidisciplinary Endeavor, F. Cazals, P. Kornprobst (editors), Springer, 2013, chap. 6, pp. 193–231.

    http://hal.inria.fr/hal-00667912/
  • 58A. Ghosh.

    High Order Models in Diffusion MRI and Applications, University of Nice Sophia Antipolis, April 2011.

    ftp://ftp-sop.inria.fr/athena/Publications/PhDs/ghosh:11.pdf
  • 59D. Le Bihan, E. Breton.

    Imagerie de Diffusion it in vivo par Résonnance Magnétique Nucléaire, in: CR Académie des Sciences, 1985, no 301, pp. 1109-1112.
  • 60D. Le Bihan, J.-F. Mangin, C. Poupon, C. Clark, S. Pappata, N. Molko, H. Chabriat.

    Diffusion tensor imaging: concepts and applications, in: J Magn Reson Imaging., 2001, vol. 13, no 4, pp. 534-46.

    http://www.ncbi.nlm.nih.gov/pubmed/11276097
  • 61C. Lenglet, J. S. W. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, R. Deriche, G. B. Pike, G. Sapiro, K. Siddiqi, P. Thompson.

    Mathematical Methods for Diffusion MRI Processing, in: NeuroImage, March 2009, vol. 45, no 1, pp. S111-S122..

    ftp://ftp-sop.inria.fr/odyssee/Publications/2009/lenglet-campbell-etal:09.pdf
  • 62C. Lenglet, M. Rousson, R. Deriche.

    DTI Segmentation by Statistical Surface Evolution, in: IEEE Transactions on Medical Imaging,, June 2006, vol. 25, no 06, pp. 685–700.

    ftp://ftp-sop.inria.fr/odyssee/Publications/2006/lenglet-rousson-etal:06c.pdf
  • 63K. Merboldt, W. Hanicke, J. Frahm.

    Self-diffusion NMR Imaging Using Stimulated Echoes, in: J. Magn. Reson., 1985, vol. 64, pp. 479–486.
  • 64S. Merlet.

    Diffusion MRI & Compressive Sensing, Nice Sophia Antipolis University, September 2013.

    https://tel.archives-ouvertes.fr/tel-00908369/
  • 65E. Ozarslan, C. Koay, T. Shepherd, S. Blackband, P. Basser.

    Simple harmonic oscillator based reconstruction and estimation for three-dimensional q-space MRI, in: ISMRM 17th Annual Meeting and Exhibition, Honolulu,, 2009, 1396. p.

    http://stbb.nichd.nih.gov/abstracts.html
  • 66E. Ozarslan, C. Koay, T. Shepherd, M. Komlosh, M. Irfanoglu, C. Pierpaoli, P. J. Basser.

    Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure., in: Neuroimage, September 2013, vol. 78, pp. 16–32.

    stbb.nichd.nih.gov/pdf/MAP-MRI.pdf
  • 67E. Panagiotaki, T. Schneider, B. Siow, M. G. Hall, M. F. Lythgoe, D. C. Alexander.

    Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison, in: NeuroImage, 2012, vol. 59, pp. 2241–2254. [ DOI : 10.1016/j.neuroimage.2011.09.081 ]

    http://www.ucl.ac.uk/cabi/PDF/2012_Panagiotaki_et_al._NeuroImage.pdf
  • 68T. Schultz, A. Fuster, A. Ghosh, R. Deriche, L. Florack, L.-H. Lim.

    Higher-Order Tensors in Diffusion Imaging, in: Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, C.-F. Westin, B. Burgeth (editors), Springer, 2013, Dagstuhl Reports.

    http://hal.inria.fr/hal-00848526
  • 69S. N. Sotiropoulos, T. E. Behrens, S. Jbabdia.

    Ball and Rackets: Inferring Fibre Fanning from Diffusion-weighted MRI, in: NeuroImage, January 2012, vol. 60, pp. 1412–1425.

    http://dx.doi.org/10.1016/j.neuroimage.2012.01.056
  • 70E. Stejskal, J. Tanner.

    Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient, in: Journal of Chemical Physics, 1965, vol. 42, pp. 288–292.
  • 71D. Taylor, M. Bushell.

    The spatial mapping of translational diffusion coefficients by the NMR imaging technique, in: Phys. Med. Biol., 1985, vol. 30, pp. 345-349. [ DOI : 10.1088/0031-9155/30/4/009 ]

    http://www.iop.org/EJ/abstract/0031-9155/30/4/009
  • 72D. Tuch.

    Q-Ball Imaging, in: Magnetic Resonance in Medicine, 2004, vol. 52, no 6, pp. 1358–1372.
  • 73S. Vallaghé, M. Clerc, J.-M. Badier.

    In vivo conductivity estimation using somatosensory evoked potentials and cortical constraint on the source, in: Proceedings of ISBI, April 2007, pp. 1036–1039.

    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4193466
  • 74V. Wedeen, P. Hagmann, W. Tseng, T. Reese, R. Weisskoff.

    Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging, in: Magnetic Resonance in Medicine, 2005, vol. 54, no 6, pp. 1377–1386.
  • 75H. Zhang, T. Schneider, C. A. Wheeler-Kingshott, D. C. Alexander.

    NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, in: NeuroImage, March 2012, vol. 61, pp. 1000–1016.

    http://dx.doi.org/10.1016/j.neuroimage.2012.03.072
  • 76E. Özarslan, T. H. Mareci.

    Generalized Diffusion Tensor Imaging and Analytical Relationships Between Diffusion Tensor Imaging and High Angular Resolution Imaging, in: Magnetic Resonance in Medicine, 2003, vol. 50, pp. 955–965.
  • 77E. Özarslan, B. C. Vemuri, T. H. Mareci.

    Generalized Scalar Measures for Diffusion MRI Using Trace, Variance and Entropy, in: Magnetic Resonance in Medicine, 2005, vol. 53, no 4, pp. 866-876.


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