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Bibliography

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

Doctoral Dissertations and Habilitation Theses

  • 10A. Ghosh.

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

    ftp://ftp-sop.inria.fr/athena/Publications/PhDs/ghosh:11.pdf
  • 11E. Olivi.

    Coupling of numerical methods for the forward problem in Magneto- and Electro-EncephaloGraphy, Nice Sophia Antipolis University, December 2011.
  • 12T. Papadopoulo.

    Contributions and perspectives to computer vision, image processing and EEG/MEG data analysis, University of Nice-Sophia Antipolis, 2011, HDR.

Articles in International Peer-Reviewed Journal

International Conferences with Proceedings

Conferences without Proceedings

  • 35P. Barttfeld, J. Calvar, S. Cukier, R. Deriche, R. Leiguarda, S. Navarta, M. Sigman, D. Wassermann, B. Wicker.

    Large-scale network analysis reflects big-world characteristics in ASD, in: 17th Annual Meeting of the Organization on Human Brain Mapping, Quebec City, Canada, June 2011.
  • 36E. Olivi, A. Gramfort, T. Papadopoulo, M. Clerc.

    Adjoint method for lead-fields computation in MEEG, in: HBM'2011, Québec City, Canada, OHBM, June 2011, POSTER.

    http://hal.inria.fr/inria-00603769/fr/
  • 37D. Wassermann, A.-C. Philippe, P. Barttfeld, B. Wicker, M. Sigman, R. Deriche.

    Tract-based statistical analyzes in dMRI in autism spectrum disorder, in: 17th Annual Meeting of the Organization on Human Brain Mapping, Quebec City, Canada, June 2011.

Internal Reports

References in notes
  • 40A. 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, p. S153-162.. [ DOI : doi:10.1016/j.neuroimage.2008.10.056 ]

    http://www.sciencedirect.com/science/journal/10538119
  • 41P. 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, p. 247–254.
  • 42P. J. Basser, J. Mattiello, D. Le Bihan.

    MR Diffusion Tensor Spectroscopy and imaging, in: Biophysical Journal, 1994, vol. 66, no 1, p. 259–267.
  • 43C. Beaulieu.

    The basis of anisotropic water diffusion in the nervous system - a technical review, in: NMR in Biomedicine, 2002, vol. 15, p. 435-455.
  • 44T. E. J. Behrens, H. Johansen-Berg, S. Jbabdi, M. Rushworth, M. Woolrich.

    Probabilistic diffusion tractography with multiple fibre orientations. What can we gain?, in: NeuroImage, January 2007, vol. 34, no 1, p. 144-155.

    http://www.ncbi.nlm.nih.gov/pubmed/17070705
  • 45M. 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, p. 395–410.

    ftp://ftp-sop.inria.fr/odyssee/Publications/2006/descoteaux-angelino-etal:06c.pdf
  • 46M. 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, p. 239-252.

    ftp://ftp-sop.inria.fr/odyssee/Publications/2009/descoteaux-deriche:09.pdf
  • 47Q. 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, p. 6–18.
  • 48A. 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
  • 49S. I. Gonçalves, J. C. de Munck, J. P. Verbunt, F. Bijma, R. M. Heethaar, F. L. da Silva.

    In Vivo Measurement of the Brain and Skull Resistivities using an EIT-Based Method and Realistic Models for the Head, in: IEEE Transactions on Biomedical Engineering, 2003, vol. 50, no 6.
  • 50K. M. Jansons, D. C. Alexander.

    Persistent angular structure: new insights fom diffusion magnetic resonance imaging data, in: Inverse Problems, 2003, vol. 19, p. 1031-1046.
  • 51D. Le Bihan, E. Breton.

    Imagerie de Diffusion it in vivo par Résonnance Magnétique Nucléaire, in: CR Académie des Sciences, 1985, no 301, p. 1109-1112.
  • 52D. 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, p. 534-46.

    http://www.ncbi.nlm.nih.gov/pubmed/11276097
  • 53C. 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, p. S111-S122..

    ftp://ftp-sop.inria.fr/odyssee/Publications/2009/lenglet-campbell-etal:09.pdf
  • 54C. Lenglet, M. Rousson, R. Deriche.

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

    ftp://ftp-sop.inria.fr/odyssee/Publications/2006/lenglet-rousson-etal:06c.pdf
  • 55K. Merboldt, W. Hanicke, J. Frahm.

    Self-diffusion NMR Imaging Using Stimulated Echoes, in: J. Magn. Reson., 1985, vol. 64, p. 479–486.
  • 56M. Moseley, Y. Cohen, J. Mintorovitch, J. Kucharczyk, J. Tsuruda, P. Weinstein, D. Norman.

    Evidence of Anisotropic Self-Diffusion, in: Radiology, 1990, vol. 176, p. 439–445.
  • 57T. Oostendorp, J. Delbeke, D. Stegeman.

    The Conductivity of the Human Skull: Results of In Vivo and In Vitro Measurements, in: IEEE Transactions on Biomedical Engineering, December 2000, vol. 47, no 11, p. 1487–1492.
  • 58P. Osment, K. Packer, M. Taylor, J. J. Attard, T. A. Carpenter, L. D. Hall, S. J. Doran, N. J. Herrod.

    NMR Imaging of Fluids in Porous Solids, in: Phil. Trans. Roy. Soc., 1990, vol. 333, p. 441–452.
  • 59C. Pierpaoli, P. Jezzard, P. J. Basser, A. Barnett, G. D. Chiro.

    Diffusion Tensor MR Imaging of Human Brain, in: Radiology, 1996, vol. 201, p. 637–648.
  • 60C. Poupon.

    Détection des faisceaux de fibres de la substance blanche pour l'étude de la connectivité anatomique cérébrale., Ecole Nationale Supérieure des Télécommunications, December 1999.
  • 61S. Rossignol, M. Schwab, M. Schwartz, M. Fehlings.

    Spinal cord injury: time to move ?, in: The Journal of Neuroscience,, October 2007, vol. 27, p. 11782-11792. [ DOI : doi:10.1523/JNEUROSCI.3444-07.2007 ]

    http://www.jneurosci.org/cgi/content/full/27/44/11782
  • 62D. Taylor, M. Bushell.

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

    http://www.iop.org/EJ/abstract/0031-9155/30/4/009
  • 63S. Thuret, L. Moon, F. Gage.

    Therapeutic interventions after spinal cord injury., in: Nature Reviews Neuroscience, August 2006, vol. 7, p. 628-643. [ DOI : doi:10.1038/nrn1955 ]

    http://www.nature.com/nrn/journal/v7/n8/full/nrn1955.html
  • 64D. S. Tuch, J. W. Belliveau, R. Weisskoff, V. J. Wedeen.

    High Angular Resolution Imaging of the Human Brain, in: Proceedings of the International Society for the Magnetic Resonance in Medecine, April 1999.

    http://cds.ismrm.org/ismrm-1999/PDF2/321.pdf
  • 65D. S. Tuch, T. G. Reese, M. R. Wiegell, N. G. Makris, J. W. Belliveau, V. J. Wedeen.

    High Angular Resolution Diffusion Imaging Reveals Intravoxel White Matter Fiber Heterogeneity, in: Magn. Res. Med., 2002, vol. 48, no 4, p. 577–582.
  • 66D. S. Tuch.

    Diffusion MRI of Complex Tissue Structure, Harvard University and Massachusetts Institute of Technology, 2002.
  • 67S. Vallaghé, M. Clerc, J.-M. Badier.

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

    http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4193466
  • 68S. Vallaghé, M. Clerc.

    A global sensitivity analysis of three and four-layer EEG conductivity models, in: IEEE Transactions on Biomedical Engineering, April 2009, vol. 56, no 4, p. 988–995.

    http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04671116
  • 69S. Vallaghé, T. Papadopoulo, M. Clerc.

    The adjoint method for general EEG and MEG sensor-based lead field equations, in: Physics in Medicine and Biology, 2009, vol. 54, p. 135–147.

    ftp://ftp-sop.inria.fr/odyssee/Publications/2009/vallaghe-papadopoulo-etal:09.pdf
  • 70D. Wassermann, L. Bloy, E. Kanterakis, R. Verma, R. Deriche.

    Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers, in: Neuroimage, May 2010, vol. 51, no 1, p. 228–241.

    http://dx.doi.org/10.1016/j.neuroimage.2010.01.004
  • 71V. J. Wedeen, T. G. Reese, D. S. Tuch, M. R. Weigell, J.-G. Dou, R. M. Weiskoff, D. Chessler.

    Mapping Fiber Orientation Spectra in Cerebral White Matter with Fourier-Transform Diffusion MRI, in: Proceedings of the International Society for the Magnetic Resonance in Medecine: 8th Scientific Meeting and Exhibition, 2000, no 82.
  • 72D. Weinstein, L. Zhukov, C. Johnson.

    Lead-field bases for electroencephalography source imaging, in: Annals of Biomedical Engineering, September 2000, vol. 28, no 9, p. 1059-1164.
  • 73C. H. Wolters, L. Grasedyck, W. Hackbusch.

    Efficient computation of lead field bases and influence matrix for the FEM-based EEG and MEG inverse problem, in: Inverse Problems, 2004, vol. 20, p. 1099–1116.
  • 74E. 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, p. 955–965.
  • 75E. Özarslan, N. Shemesh, C. G. Koay, Y. Cohen, P. J. Basser.

    NMR characterization of general compartment size distributions, in: New Journal of Physics, 2011, vol. 13.
  • 76E. Özarslan, T. Shepherd, B. C. Vemuri, S. Blackband, T. H. Mareci.

    Resolution of Complex Tissue Microarchitecture Using the Diffusion Orientation Transform (DOT), in: NeuroImage, 2006, vol. 31, no 3, p. 1086–1103.
  • 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, p. 866-876.