Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
Partnerships and Cooperations
Dissemination
Bibliography
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PDF e-Pub


Bibliography

Major publications by the team in recent years
[1]
C. 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 ]
https://www.sciencedirect.com/science/article/pii/S0165027009001551
[2]
E. 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, no 6, pp. 1534–1540. [ DOI : 10.1002/mrm.24736 ]
http://hal.inria.fr/hal-00821688/
[3]
M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche.
Regularized, Fast, and Robust Analytical Q-Ball Imaging, in: Magnetic Resonance in Medicine, 2007, vol. 58, no 3, pp. 497–510.
ftp://ftp-sop.inria.fr/odyssee/Publications/2007/descoteaux-angelino-etal:07.pdf
[4]
M. 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, no 2, pp. 269–286.
ftp://ftp-sop.inria.fr/odyssee/Publications/2009/descoteaux-deriche-etal:09.pdf
[5]
R. 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
[6]
G. 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, no 11, pp. 5485-5500.
http://onlinelibrary.wiley.com/doi/10.1002/hbm.23741/abstract
[7]
S. Vallaghé, T. Papadopoulo.
A Trilinear Immersed Finite Element Method for Solving the Electroencephalography Forward Problem, in: SIAM Journal on Scientific Computing, 2010, vol. 32, no 4, pp. 2379–2394.
http://epubs.siam.org/doi/pdf/10.1137/09075038X
Publications of the year

Articles in International Peer-Reviewed Journals

[8]
T. Brochier, R. Trachel, M. Clerc.
Brain-computer interaction for online enhancement of visuospatial attention performance, in: Journal of Neural Engineering, 2018, vol. 15, no 4. [ DOI : 10.1088/1741-2552/aabf16 ]
https://hal.archives-ouvertes.fr/hal-01794034
[9]
D. Cherifi, M. Boudjada, A. Morsli, G. Girard, R. Deriche.
Combining Improved Euler and Runge-Kutta 4th order for Tractography in Diffusion-Weighted MRI, in: Biomedical Signal Processing and Control, March 2018, vol. 41, pp. 90 - 99. [ DOI : 10.1016/j.bspc.2017.11.008 ]
https://hal.archives-ouvertes.fr/hal-01928276
[10]
M. Dali, O. Rossel, D. Andreu, L. Laporte, A. Hernández, J. Laforet, E. Marijon, A. A. Hagège, M. Clerc, C. Henry, D. Guiraud.
Model based optimal multipolar stimulation without a priori knowledge of nerve structure: application to vagus nerve stimulation, in: Journal of Neural Engineering, May 2018, vol. 15, no 4, 046018 p. [ DOI : 10.1088/1741-2552/aabeb9 ]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01770039
[11]
R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehéricy, R. Deriche, D. Wassermann.
Non-Parametric GraphNet-Regularized Representation of dMRI in Space and Time, in: Medical Image Analysis, 2018, vol. 43, pp. 37–53. [ DOI : 10.1016/j.media.2017.09.002 ]
https://hal.inria.fr/hal-01578296
[12]
P. Filipiak, R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehéricy, P. Ciuciu, R. Deriche, D. Wassermann.
Reducing the number of samples in spatiotemporal dMRI acquisition design, in: Magnetic Resonance in Medicine, November 2018. [ DOI : 10.1002/mrm.27601 ]
https://hal.archives-ouvertes.fr/hal-01928734
[13]
Y. Hong, L. J. O'Donnell, P. Savadjiev, F. Zhang, D. Wassermann, O. Pasternak, H. J. Johnson, J. Paulsen, J.-P. Vonsattel, N. Makris, C.-F. Westin, Y. Rathi.
Genetic load determines atrophy in hand cortico-striatal pathways in presymptomatic Huntington’s disease, in: Human Brain Mapping, 2018. [ DOI : 10.1002/hbm.24217 ]
https://hal.inria.fr/hal-01787886
[14]
F. Lotte, L. Bougrain, A. Cichocki, M. Clerc, M. Congedo, A. Rakotomamonjy, F. Yger.
A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update, in: Journal of Neural Engineering, April 2018, 55 p.
https://hal.inria.fr/hal-01846433
[15]
T. Megherbi, G. Girard, A. Ghosh, F. Oulebsir-Boumghar, R. Deriche.
Fiber orientation distribution function from non-negative sparse recovery with quantitative analysis of local fiber orientations and tractography using DW-MRI datasets, in: Magnetic Resonance Imaging, October 2018. [ DOI : 10.1016/j.mri.2018.10.003 ]
https://hal.archives-ouvertes.fr/hal-01912555
[16]
S. Merino-Caviedes, L. Cordero-Grande, M. T. Perez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, C. Alberola-Lopez.
A Second Order Multi-Stencil Fast Marching Method with a Non-Constant Local Cost Model, in: IEEE Transactions on Image Processing, 2018, 1 p. [ DOI : 10.1109/TIP.2018.2880507 ]
https://hal.archives-ouvertes.fr/hal-01921997
[17]
V. Sydnor, A. M. Rivas-Grajales, A. Lyall, F. Zhang, S. Bouix, S. Karmacharya, M. Shenton, C.-F. Westin, N. Makris, D. Wassermann, L. J. O'Donnell, M. Kubicki.
A comparison of three fiber tract delineation methods and their impact on white matter analysis, in: NeuroImage, May 2018, vol. 178, pp. 318-331. [ DOI : 10.1016/j.neuroimage.2018.05.044 ]
https://hal.inria.fr/hal-01807178

Invited Conferences

[18]
L. Caroux, E. Campo, N. Vigouroux, E. Bourreau, M. Clerc, P. Gorce, C. Graff, M. Huchard, D. Istrate, J. Jacquier-Bret, N. Lompré, N. Pinede, L. R. Duarte, M. Sacher, A. Serna, A. Serpa, A. Van Den Bossche, F. Vella.
MAN : Mise en Place d'une Méthode d’Évaluation Croisée de l'Accès aux Ressources Numériques, in: HANDICAP, Paris, France, Actes du Congrès Handicap 2018 - 10ème édition, June 2018, pp. 211-212.
https://hal.archives-ouvertes.fr/hal-01815554
[19]
M. Clerc.
Conductivity models for functional neuroimaging, in: SIAM Conference on Imaging Science, Bologna, Italy, June 2018.
https://hal.inria.fr/hal-01888187
[20]
T. Papadopoulo.
Inverse source problems in electro- and magneto- encephalography, in: Inverse problems: modeling and simulation, Paradise Bay, Malta, May 2018.
https://hal.inria.fr/hal-01963644

International Conferences with Proceedings

[21]
A. Alimi, R. H. Fick, D. Wassermann, R. Deriche.
Dmipy, a Diffusion Microstructure Imaging toolbox in Python to improve research reproducibility, in: MICCAI 2018 - Workshop on Computational Diffusion MRI, Granada, Spain, September 2018.
https://hal.inria.fr/hal-01873353
[22]
A. Alimi, Y. Usson, P.-S. Jouk, G. Michalowicz, R. Deriche.
An Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging, in: ISBI 2018 - IEEE International Symposium on Biomedical Imaging, Washington, D.C., United States, April 2018, pp. 1-4.
https://hal.inria.fr/hal-01688789
[23]
I. Costantini, P. Filipiak, K. Maksymenko, S. Deslauriers-Gauthier, R. Deriche.
fMRI Deconvolution via Temporal Regularization using a LASSO model and the LARS algorithm, in: EMBC'18 - 40th International Engineering in Medicine and Biology Conference, Honolulu, United States, July 2018.
https://hal.inria.fr/hal-01855467
[24]
S. Deslauriers-Gauthier, D. Parker, F. Rheault, R. Deriche, S. Brem, M. Descoteaux, R. Verma.
Edema-informed anatomically constrained particle filter tractography, in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Granada, Spain, September 2018.
https://hal.inria.fr/hal-01893110
[25]
M. Frigo, I. Costantini, R. Deriche, S. Deslauriers-Gauthier.
Resolving the crossing/kissing fiber ambiguity using Functionally Informed COMMIT, in: Computational Diffusion MRI 2018, Granada, Spain, September 2018.
https://hal.inria.fr/hal-01864939
[26]
G. Gallardo, N. Gayraud, R. Deriche, M. Clerc, S. Deslauriers-Gauthier, D. Wassermann.
Solving the Cross-Subject Parcel Matching Problem using Optimal Transport, in: International Conference on Medical Image Computing and Computer-Assisted Intervention 2018, Granada, Spain, September 2018.
https://hal.archives-ouvertes.fr/hal-01935684
[27]
K. Maksymenko, M. Clerc, T. Papadopoulo.
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem, in: iTWIST, Marseille, France, November 2018, https://arxiv.org/abs/1812.04110.
https://hal.inria.fr/hal-01946876
[28]
F. Turi, N. T. H. Gayraud, M. Clerc.
Zero-calibration cVEP BCI using word prediction: a proof of concept, in: BCI 2018 - 7th International BCI Meeting, Pacific Grove, California, United States, May 2018, https://arxiv.org/abs/1810.03428.
https://hal.inria.fr/hal-01878015
[29]
M. Zucchelli, S. Deslauriers-Gauthier, R. Deriche.
A Closed-Form Solution of Rotation Invariant Spherical Harmonic Features in Diffusion MRI, in: MICCAI - Computational Diffusion MRI Workshop 2018, Granada, Spain, September 2018.
https://hal.inria.fr/hal-01912148

Conferences without Proceedings

[30]
R. H. Fick, D. Wassermann, R. Deriche.
Mipy: An Open-Source Framework to improve reproducibility in Brain Microstructure Imaging, in: OHBM 2018 - Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-4.
https://hal.archives-ouvertes.fr/hal-01722146
[31]
M. Frigo, G. Gallardo, I. Costantini, A. Daducci, D. Wassermann, R. Deriche, S. Deslauriers-Gauthier.
Reducing false positive connection in tractograms using joint structure-function filtering, in: OHBM 2018 - Organization for Human Brain Mapping, Singapore, Singapore, June 2018, pp. 1-3.
https://hal.inria.fr/hal-01737434
[32]
N. T. H. Gayraud, G. Gallardo, M. Clerc, D. Wassermann.
Solving the Cross-Subject Parcel Matching Problem: Comparing Four Methods Using Extrinsic Connectivity, in: OHBM 2018, Singapore, Singapore, June 2018.
https://hal.archives-ouvertes.fr/hal-01737366
[33]
S. Rimbert, N. Gayraud, M. Clerc, S. Fleck, L. Bougrain.
Can the MIQ-RS questionnaire be used to estimate the performance of a MI-based BCI?, in: 2018 Seventh International BCI Meeting, Pacific Grove, United States, May 2018.
https://hal.archives-ouvertes.fr/hal-01889864
[34]
M. Zucchelli, M. Descoteaux, G. Menegaz.
Investigating Diffusion-MRI based neurite density estimation model dependency: an in-vivo study on the HCP dataset, in: ISMRM 2018 - International Society for Magnetic Resonance in Medicine, Paris, France, June 2018.
https://hal.inria.fr/hal-01831823

Other Publications

[35]
A. Alimi, A. Petiet, M. Santin, A.-C. Philippe, S. Lehéricy, R. Deriche, D. Wassermann.
Towards the assessment of myelination using time-dependent diffusion MRI indices, June 2018, pp. 1-4, ISMRM 2018 - International Society for Magnetic Resonance in Medicine, Poster.
https://hal.inria.fr/hal-01723846
[36]
F. Almairac, P. Filipiak, L. Slabu, M. Clerc, T. Papadopoulo, D. Fontaine, L. Mondot, S. Chanelet, D. Wassermann, R. Deriche.
Bridging Brain Structure and Function by Correlating Structural Connectivity and Cortico-Cortical Transmission, June 2018, 2nd C@UCA meeting, Poster.
https://hal.inria.fr/hal-01852956
[37]
I. Costantini, P. Filipiak, K. Maksymenko, S. Deslauriers-Gauthier, R. Deriche.
L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal, June 2018, C@UCA, Poster.
https://hal.inria.fr/hal-01855505
[38]
P. Filipiak, R. H. Fick, A. Petiet, M. Santin, A.-C. Philippe, S. Lehéricy, R. Deriche, D. Wassermann.
Spatio-Temporal dMRI Acquisition Design: Reducing the Number of Samples, June 2018, ISMRM 2018, Poster.
https://hal.inria.fr/hal-01719646
[39]
P. Görlach, E. Hubert, T. Papadopoulo.
Rational invariants of even ternary forms under the orthogonal group, July 2018, working paper or preprint.
https://hal.inria.fr/hal-01570853
[40]
K. Maksymenko, M. Clerc, T. Papadopoulo.
Data-driven cortical clustering to provide a family of plausible solutions to the M/EEG inverse problem, August 2018, BIOMAG 2018, Poster.
https://hal.archives-ouvertes.fr/hal-01874281
[41]
K. Maksymenko, M. Clerc, T. Papadopoulo.
Fast Approximation of EEG Forward Problem and Application to Tissue Conductivity Estimation, October 2018, https://arxiv.org/abs/1810.04410 - working paper or preprint.
https://hal.inria.fr/hal-01890242
[42]
D. Wassermann, D. V. Nguyen, G. Gallardo, J.-R. Li, W. Cai, V. Menon.
Sensing Von Economo Neurons in the Insula with Multi-shell Diffusion MRI, 2018, International Society for Magnetic Resonance in Medicine, Poster.
https://hal.inria.fr/hal-01807704
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Using diffusion MRI information in the Maximum Entropy on Mean framework to solve MEG/EEG inverse problem, in: BIOMAG, Halifax, Canada, August 2014.
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P. T. Callaghan.
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[54]
E. Caruyer.
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[55]
E. Caruyer, R. Verma.
On facilitating the use of {HARDI} in population studies by creating rotation-invariant markers, in: Medical Image Analysis, 2015, vol. 20, no 1, pp. 87 - 96. [ DOI : 10.1016/j.media.2014.10.009 ]
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J. 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
[57]
R. 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, no 4, pp. 564–579.
http://dx.doi.org/10.1016/j.media.2009.05.008
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M. 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.
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M. 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
[60]
M. 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 ]
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[61]
M. 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
[62]
Q. Dong, R. C. Welsh, T. L. Chenevert, R. C. Carlos, P. Maly-Sundgren, D. M. Gomez-Hassan, S. K. Mukherji.
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[63]
P. Durand, V. Auboiroux, V. Rohu, L. Langar, F. Berger, E. Labyt.
Glial tumor localization and characterization using DTI augmented MEG modelling, in: Proceedings of Biomag, Halifax, Canada, Biomag, 2014.
[64]
A. 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
[65]
A. 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/
[66]
A. 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
[67]
A. 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 - Volume 71, Issue 4, April 2014, Pages: 1581–1591. [ DOI : 10.1002/mrm.24781 ]
http://hal.inria.fr/hal-00789755
[68]
A. Ghosh, T. Papadopoulo, R. Deriche.
Biomarkers for HARDI: 2nd & 4th Order Tensor Invariants, in: IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, May 2012.
http://hal.inria.fr/hal-00667905/
[69]
A. Ghosh, T. Papadopoulo, R. Deriche.
Generalized Invariants of a 4th order tensor: Building blocks for new biomarkers in dMRI, in: Computational Diffusion MRI Workshop (CDMRI), MICCAI, E. Panagiotaki, L. O'Donnell, T. Schultz, G. H. Zhang (editors), 2012, pp. 165–173.
http://hal.inria.fr/hal-00789763
[70]
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A Common Formalism for the Integral Formulations of the Forward EEG Problem, in: IEEE Transactions on Medical Imaging, January 2005, vol. 24, pp. 12–28.
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Mathematical Methods for Diffusion MRI Processing, in: NeuroImage, March 2009, vol. 45, no 1, pp. S111–S122.
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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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Diffusion MRI & Compressive Sensing, Nice Sophia Antipolis University, September 2013.
https://tel.archives-ouvertes.fr/tel-00908369/
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I. Mohamed, H. Otsubo, M. Shroff, E. Donner, J. Drake, O. Snead III.
Magnetoencephalography and diffusion tensor imaging in gelastic seizures secondary to a cingulate gyrus lesion, in: Clinical neurology and neurosurgery, 2007, vol. 109, no 2, pp. 182–187.
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E. 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.
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[81]
T. 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, Boston, USA, September 2014, vol. 17, pp. 233–240. [ DOI : 10.1007/978-3-319-10443-0_30 ]
https://hal.archives-ouvertes.fr/hal-01092492
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