Project-Team Athena
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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

  • 11J. Cheng, R. Deriche, J. Tianzi, D. Shen, P.-T. Yap.
    Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI, in: NeuroImage, November 2014, vol. 11, no 1, pp. 750–764. [ DOI : 10.1016 ]
    https://hal.inria.fr/hal-01078338
  • 12A. Daducci, E. Canales Rodgriguez, M. Descoteaux, E. Garyfallidis, Y. Gur, Y. C. Lin, M. Mani, L. Merlet, M. Paquette, A. Ramirez-Manzanares, M. Reisert, P. R. Rodrigues, F. Sepehrband, E. Caruyer, J. Choupan, R. Deriche, M. Jacob, G. Menegaz, V. Prckovska, M. Rivera, Y. Wiaux, J.-P. Thiran.
    Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI, in: IEEE Transactions on Medical Imaging, February 2014, no 99, pp. 384-399. [ DOI : 10.1109/TMI.2013.2285500 ]
    https://hal.inria.fr/hal-00908289
  • 13G. Girard, K. Whittingstall, R. Deriche, M. Descoteaux.
    Towards quantitative connectivity analysis: reducing tractography biases, in: NeuroImage, May 2014, Available online 9 May 2014. [ DOI : 10.1016/j.neuroimage.2014.04.074 ]
    https://hal.archives-ouvertes.fr/hal-00991846
  • 14D. 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 learning Brain Structure and Function , in: Brain Structure and Function, 2015.
    https://hal.inria.fr/hal-01099660
  • 15T. Megherbi, M. Kachouane, F. Oulebsir Boumghar, R. Deriche.
    Crossing Fibers Detection with an Analytical High Order Tensor Decomposition, in: Computational and Mathematical Methods in Medicine, August 2014, pp. 1-18. [ DOI : 10.1155 ]
    https://hal.inria.fr/hal-01078352
  • 16M. Paquette, S. Merlet, G. Gilbert, R. Deriche, M. Descoteaux.
    Comparison of sampling strategies and sparsifying transforms to improve compressed sensing diffusion spectrum imaging, in: Magnetic Resonance in Medicine, January 2014, vol. 73, pp. 401-416, Article first published online: 29 JAN 2014. [ DOI : 10.1002/mrm.25093 ]
    https://hal.archives-ouvertes.fr/hal-00945734

International Conferences with Proceedings

  • 17E. Daucé, E. Thomas.
    Evidence build-up facilitates on-line adaptivity in dynamic environments: example of the BCI P300-speller, in: 22nd European Symposium on Artificial Neural Networks, Bruges, Belgium, April 2014.
    https://hal.inria.fr/hal-01104024
  • 18R. Fick, G. Sanguinetti, R. Deriche.
    Extracting a biomarker for the mean cross-sectional area from the ODF, in: Human Brain Mapping, Hamburg, Germany, July 2014.
    https://hal.inria.fr/hal-01095197
  • 19R. Fick, D. Wassermann, G. Sanguinetti, R. Deriche.
    An Analytical 3D Laplacian Regularized SHORE Basis and Its Impact on EAP Reconstruction and Microstructure Recovery, in: CD-MRI, Boston, United States, September 2014.
    https://hal.inria.fr/hal-01095271
  • 20G. Gabriel, W. Kevin, R. Deriche, M. Descoteaux.
    Choosing Tractography Parameters to Improve Connectivity Mapping, in: International Symposium on Magnetic Resonance in Medicine (ISMRM'14), Milan, Italy, May 2014.
    https://hal.inria.fr/hal-00945992
  • 21E. Garyfallidis, D. Wassermann, M. Descoteaux.
    Direct native-space fiber bundle alignment for group comparisons, in: International Society for Magnetic Resonance Imaging (ISMRM), Milan, Italy, 2014.
    https://hal.inria.fr/hal-00991740
  • 22A. Ghosh, R. Deriche.
    Greedy NNLS: Fiber Orientation Distribution from Non-Negatively Constrained Sparse Recovery, in: ISMRM : Intl. Soc. Mag. Reson. Med., Milan, Italy, May 2014, 2610 p.
    https://hal.archives-ouvertes.fr/hal-00991739
  • 23G. Girard, K. Whittingstall, R. Deriche, M. Descoteaux.
    Connectivity directionally-encoded color map: a streamline-based color mapping, in: The Organization for Human Brain Mapping (OHBM), Hambourg, Germany, The Organization for Human Brain Mapping (OHBM), June 2014.
    https://hal.archives-ouvertes.fr/hal-01103640
  • 24M. Laouchedi, T. Megherbi, H. Khabatti, I. Serrat, R. Deriche, V. Perlbarg, F. Oulebsir Boumghar.
    Odf Maxima Computation Using Hill Climbing Algorithm, in: IEEE International Symposium on Biomedical Imaging, Beijing, China, April 2014, pp. 722-725.
    https://hal.archives-ouvertes.fr/hal-00991741
  • 25T. Papadopoulo, A. Ghosh, R. Deriche.
    Complete Set of Invariants of a 4th Order Tensor: The 12 Tasks of HARDI from Ternary Quartics, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Boston, United States, P. Golland, N. Hata, C. Barillot, J. Hornegger, R. Howe (editors), Lecture Notes in Computer Science, September 2014, vol. 8675, pp. 233 - 240. [ DOI : 10.1007/978-3-319-10443-0_30 ]
    https://hal.archives-ouvertes.fr/hal-01092492
  • 26M. Paquette, S. Merlet, R. Deriche, M. Descoteaux.
    DSI 101: Better ODFs for Free, in: ISMRM : Intl. Soc. Mag. Reson. Med. 22, Milan, Italy, May 2014, 0802 p.
    https://hal.archives-ouvertes.fr/hal-00991861
  • 27M. Pizzolato, A. Ghosh, T. Boutelier, R. Deriche.
    Magnitude and complex based diffusion signal reconstruction, in: CDMRI'14, Boston, United States, September 2014. [ DOI : 10.1007/978-3-319- ]
    https://hal.inria.fr/hal-01095127
  • 28G. Sanguinetti, R. Deriche.
    Efficient Axon Diameter Distribution Recovery with Long Diffusion Time, in: ISMRM : Intl. Soc. Mag. Reson. Med, Milan, Italy, May 2014, 0792.
    https://hal.archives-ouvertes.fr/hal-00991734
  • 29G. Sanguinetti, R. Deriche.
    Mapping Average Axon Diameters under Long Diffusion Time,, in: ISBI 2014, Beijing, China, April 2014, pp. 242–245.
    https://hal.archives-ouvertes.fr/hal-00991735
  • 30G. Sanguinetti, R. Deriche.
    NMR Characterization of Cylinder Radii Distributions Using a SHORE-Based Regularization Method, in: ISMRM : Intl. Soc. Mag. Reson. Med, Milan, Italy, May 2014, 4419.
    https://hal.archives-ouvertes.fr/hal-00991736
  • 31E. Thomas, E. Daucé, D. Devlaminck, L. Mahé, A. Carpentier, R. Munos, M. Perrin, E. Maby, J. Mattout, T. Papadopoulo, M. Clerc.
    CoAdapt P300 speller: optimized flashing sequences and online learning, in: 6th International Brain Computer Interface Conference, Graz, Austria, September 2014.
    https://hal.inria.fr/hal-01103441
  • 32D. Wassermann, M. Toews, M. Niethammer, W. Wells Iii.
    Probabilistic Diffeomorphic Registration: Representing Uncertainty, in: Biomedical Image Registration, London, United Kingdom, 2014, pp. 72 - 82. [ DOI : 10.1007/978-3-319-08554-8_8 ]
    https://hal.archives-ouvertes.fr/hal-01095091
  • 33M. Zucchelli, E. Garyfallidis, M. Paquette, S. Merlet, G. Menegaz, M. Descoteaux.
    Comparison between discrete and continuous propagator indices from Cartesian q-space DSI sampling, in: ISMRM : Intl. Soc. Mag. Reson. Med., Milan, Italy, May 2014, 4294.
    https://hal.archives-ouvertes.fr/hal-00991876

National Conferences with Proceedings

  • 34T. Megherbi, M. Kachouane, F. Oulebsir Boumghar, R. Deriche.
    Détection des croisements de fibre en IRM de diffusion par décomposition de tenseur : Approche analytique, in: Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, France, June 2014.
    https://hal.archives-ouvertes.fr/hal-00989135

Conferences without Proceedings

  • 35T. Megherbi, A. Ghosh, F. Oulebsir Boumghar, R. Deriche.
    Fiber Orientation Distribution from Non-Negative Sparse Recovery, in: MICCAI 2014 Workshop on Computational Diffusion MRI, Boston, United States, September 2014.
    https://hal.archives-ouvertes.fr/hal-01104163

Other Publications

  • 36B. Belaoucha, J.-M. Lina, M. Clerc, A.-C. Philippe, C. Grova, T. Papadopoulo.
    Using diffusion MRI information in the Maximum Entropy on Mean framework to solve MEG/EEG inverse problem, August 2014, The 19th International Conference on Biomagnetism.
    https://hal.inria.fr/hal-01095785
  • 37B. Belaoucha, A.-C. Philippe, M. Clerc, T. Papadopoulo.
    Diffusion Magnetic Resonance information as a regularization term for MEG/EEG inverse problem, August 2014, The 19th International Conference on Biomagnetism.
    https://hal.inria.fr/hal-01095449
  • 38K. Dang, M. Clerc, J. Laudanski.
    A 3D Model-based Simulation of the Electric Field During Cochlear Stimulation, October 2014, 8th International Symposium on Objective Measures in Auditory Implants.
    https://hal.inria.fr/hal-01103374
  • 39S. Hitziger, M. Clerc, A. Gramfort, S. Saillet, G. Bénar, T. Papadopoulo.
    Electro-Metabolic Coupling Investigated with Jitter Invariant Dictionary Learning, June 2014, OHBM 2014.
    https://hal.inria.fr/hal-01094674
  • 40T. Jordanov, J.-P. Marmorat, M. Clerc, J. Leblond, A. Waelkens, T. Papadopoulo.
    FindSources3D - Source Localization Using Rational Approximation on Plane Sections, Poster listings, June 2014, Organization Human Brain Mapping, Annual Meeting.
    https://hal.inria.fr/hal-01098108
  • 41A.-C. Philippe, T. Papadopoulo, G. Bénar, J.-M. Badier, M. Clerc, R. Deriche.
    Propagation of epileptic spikes revealed by diffusion-based constrained MEG source reconstruction, 19th International Conference on Biomagnetism, August 2014, 19th International Conference on Biomagnetism.
    https://hal.archives-ouvertes.fr/hal-01104109
References in notes
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    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 ]
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    http://hal.inria.fr/tel-00750144
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    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. Clerc, J. Leblond, J.-P. Marmorat, T. Papadopoulo.
    Source localization using rational approximation on plane sections, in: Inverse Problems, 2012, vol. 28, no 5, pp. 055018–055042. [ DOI : 10.1088/0266-5611/28/5/055018 ]
    http://hal.inria.fr/hal-00699541
  • 52M. 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
  • 53M. 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
  • 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
  • 59A. Ghosh, T. Milne, R. Deriche.
    Constrained Diffusion Kurtosis Imaging Using Ternary Quartics & MLE, in: Magnetic Resonance in Medicine, July 2013, Article first published online: 2 JUL 2013. [ DOI : 10.1002/mrm.24781 ]
    http://hal.inria.fr/hal-00789755
  • 60A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    OpenMEEG: opensource software for quasistatic bioelectromagnetics, in: BioMedical Engineering OnLine, September 2010, vol. 9, no 1, 45 p. [ DOI : 10.1186/1475-925X-9-45 ]
    https://hal.inria.fr/inria-00467061
  • 61A. Gramfort, T. Papadopoulo, E. Olivi, M. Clerc.
    Forward Field Computation with OpenMEEG, in: Computational Intelligence and Neuroscience, 2011, vol. 2011, no ID 923703, pp. 1–13. [ DOI : 10.1155/2011/923703 ]
    http://www.hindawi.com/journals/cin/2011/923703/
  • 62S. Hitziger, M. Clerc, A. Gramfort, S. Saillet, C. Bénar, T. Papadopoulo.
    Jitter-Adaptive Dictionary Learning - Application to Multi-Trial Neuroelectric Signals, in: ICLR - 1st International Conference on Learning Representations, May 2013.
    http://arxiv.org/abs/1301.3611
  • 63K. M. Jansons, D. C. Alexander.
    Persistent angular structure: new insights fom diffusion magnetic resonance imaging data, in: Inverse Problems, 2003, vol. 19, pp. 1031-1046.
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    Imagerie de Diffusion it in vivo par Résonnance Magnétique Nucléaire, in: CR Académie des Sciences, 1985, no 301, pp. 1109-1112.
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  • 66C. 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
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    DTI Segmentation by Statistical Surface Evolution, in: IEEE Transactions on Medical Imaging, June 2006, vol. 25, no 06, pp. 685–700.
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