Fiber composition of the human corpus callosum, Brain Research, vol.598, issue.1-2, pp.143-153, 1992. ,
DOI : 10.1016/0006-8993(92)90178-C
Orientationally invariant indices of axon diameter and density from diffusion MRI, NeuroImage, vol.52, issue.4, pp.1374-1389, 2010. ,
DOI : 10.1016/j.neuroimage.2010.05.043
3-Dimensional Axon Diameter Estimation of White Matter Fiber Tracts in The Human Brain, Organization for Human Brain Mapping, 2016. ,
A comprehensive Gaussian Process framework for correcting distortions and movements in diffusion images, International Symposium on Magnetic Resonance in Medicine, 2012. ,
Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, NeuroImage, vol.27, issue.1, pp.48-58, 2005. ,
DOI : 10.1016/j.neuroimage.2005.03.042
Axcaliber: A method for measuring axon diameter distribution from diffusion MRI, Magnetic Resonance in Medicine, vol.14, issue.6, pp.1347-1354, 2008. ,
DOI : 10.1093/acprof:oso/9780195082937.001.0001
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4667732
Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx), 2015 IEEE International Conference on Image Processing (ICIP), 2015. ,
DOI : 10.1109/ICIP.2015.7351085
Advanced normalization tools (ants), Insight J, vol.2, pp.1-35, 2009. ,
Assessment of bundle-specific axon diameter distributions using diffusion MRI tractography, Organization for Human Brain Mapping, 2016. ,
AxCaliber 3D, International Symposium on Magnetic Resonance in Medicine, 2011. ,
In vivo fiber tractography using DT-MRI data, Magnetic Resonance in Medicine, vol.40, issue.4, pp.625-632, 2000. ,
DOI : 10.1161/01.RES.74.5.789
Mesoscopic structure of neuronal tracts from time-dependent diffusion, NeuroImage, vol.114, pp.18-37, 2015. ,
DOI : 10.1016/j.neuroimage.2015.03.061
Symmetries in human brain language pathways correlate with verbal recall, Proceedings of the National Academy of Sciences of the United States of America, pp.17163-17168, 2007. ,
DOI : 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data, NeuroImage, vol.105, pp.32-44, 2015. ,
DOI : 10.1016/j.neuroimage.2014.10.026
URL : http://doi.org/10.1016/j.neuroimage.2014.10.026
COMMIT: Convex Optimization Modeling for Micro-structure Informed Tractography, IEEE Transactions on Medical Imaging, pp.1-1, 2014. ,
DOI : 10.1109/tmi.2014.2352414
URL : https://infoscience.epfl.ch/record/200934/files/main.pdf
Microstructure Informed Tractography: Pitfalls and Open Challenges, Frontiers in Neuroscience, vol.61, issue.232, p.247, 2016. ,
DOI : 10.1016/j.neuroimage.2012.03.072
URL : http://doi.org/10.3389/fnins.2016.00247
A convex optimization framework for global tractography, 2013 IEEE 10th International Symposium on Biomedical Imaging, pp.524-527, 2013. ,
DOI : 10.1109/ISBI.2013.6556527
Axon Physiology, Physiological Reviews, vol.91, issue.2, pp.555-602, 2011. ,
DOI : 10.1152/physrev.00048.2009
A Model-Based Deconvolution Approach to Solve Fiber Crossing in Diffusion-Weighted MR Imaging, IEEE Transactions on Biomedical Engineering, vol.54, issue.3, pp.462-472, 2007. ,
DOI : 10.1109/TBME.2006.888830
Can Spherical Deconvolution give us more information beyond fibre orientation? Towards novel quantifications of white matter integrity, International Symposium on Magnetic Resonance in Medicine, 2010. ,
Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true-tract specific index to characterize white matter diffusion, Human Brain Mapping, issue.10, pp.342464-2483, 2013. ,
Regularized, fast, and robust analytical Q-ball imaging, Magnetic Resonance in Medicine, vol.17, issue.3, pp.497-510, 2007. ,
DOI : 10.1017/CBO9781107325937
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions, IEEE Transactions on Medical Imaging, vol.28, issue.2, pp.269-286, 2009. ,
DOI : 10.1109/TMI.2008.2004424
Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI, Magnetic Resonance in Medicine, vol.56, issue.pt 5, pp.721711-721, 2012. ,
DOI : 10.1002/mrm.20962
MGH???USC Human Connectome Project datasets with ultra-high b-value diffusion MRI, NeuroImage, vol.124, pp.1108-1114, 2016. ,
DOI : 10.1016/j.neuroimage.2015.08.075
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651764
MAPL: Tissue microstructure estimation using Laplacian-regularized MAP-MRI and its application to HCP data, NeuroImage, vol.134, issue.1, pp.365-385, 2016. ,
DOI : 10.1016/j.neuroimage.2016.03.046
URL : https://hal.archives-ouvertes.fr/hal-01291929
A Novel Global Tractography Algorithm Based on an Adaptive Spin Glass Model, International Conference on Medical Image Computing and Computer Assisted Intervention, pp.927-934, 2009. ,
DOI : 10.1007/978-3-642-04268-3_114
URL : https://hal.archives-ouvertes.fr/inria-00502716
Dipy, a library for the analysis of diffusion MRI data, Frontiers in Neuroinformatics, vol.29, issue.22, 2014. ,
DOI : 10.1109/TMI.2010.2045126
Towards quantitative connectivity analysis: reducing tractography biases, NeuroImage, vol.98, pp.266-278, 2014. ,
DOI : 10.1016/j.neuroimage.2014.04.074
URL : https://hal.archives-ouvertes.fr/hal-00991846
Accurate and robust brain image alignment using boundary-based registration, NeuroImage, vol.48, issue.1, pp.63-72, 2009. ,
DOI : 10.1016/j.neuroimage.2009.06.060
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2733527
The rician distribution of noisy mri data, Magnetic Resonance in Medicine, vol.3, issue.6, pp.910-914, 1995. ,
DOI : 10.1002/j.1538-7305.1944.tb00874.x
Convergence and Parameter Choice for Monte-Carlo Simulations of Diffusion MRI, IEEE Transactions on Medical Imaging, vol.28, issue.9, pp.1354-1364, 2009. ,
DOI : 10.1109/TMI.2009.2015756
The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter, NeuroImage, vol.106, pp.464-472, 2015. ,
DOI : 10.1016/j.neuroimage.2014.12.008
Measuring macroscopic brain connections in vivo, Nature Neuroscience, vol.21, issue.11, pp.181546-1555, 2015. ,
DOI : 10.1002/mrm.22924
A Bayesian framework for global tractography, NeuroImage, vol.37, issue.1, pp.116-129, 2007. ,
DOI : 10.1016/j.neuroimage.2007.04.039
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution, Human Brain Mapping, vol.29, issue.3, pp.461-479, 2011. ,
DOI : 10.1002/hbm.20395
Plasticity of left perisylvian white-matter tracts is associated with individual differences in math learning, Brain Structure and Function, vol.54, issue.2, pp.1337-1351, 2016. ,
DOI : 10.1016/j.neuroimage.2010.09.008
URL : https://hal.archives-ouvertes.fr/hal-01099660
with diffusion MRI, Imaging in Medicine, vol.2, issue.3, pp.341-355, 2010. ,
DOI : 10.2217/iim.10.21
Quantitative mapping of the per-axon diffusion coefficients in brain white matter, Magnetic Resonance in Medicine, vol.60, issue.4, pp.1752-1763, 2015. ,
DOI : 10.1002/mrm.21646
A 64-channel 3T array coil for accelerated brain MRI, Magnetic Resonance in Medicine, vol.16, issue.1, pp.248-258, 2013. ,
DOI : 10.1002/mrm.1910160210
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3538896
Gibbs tracking: A novel approach for the reconstruction of neuronal pathways, Magnetic Resonance in Medicine, vol.45, issue.4, pp.953-963, 2008. ,
DOI : 10.1142/p060
Lateralization of the arcuate fasciculus from childhood to adulthood and its relation to cognitive abilities in children, Human Brain Mapping, vol.38, issue.11, pp.3563-3573, 2009. ,
DOI : 10.1212/01.WNL.0000140707.61952.CA
Distribution of axon diameters in cortical white matter: an electron-microscopic study on three human brains and a macaque, Biological Cybernetics, vol.30, issue.44, pp.541-557, 2014. ,
DOI : 10.1523/JNEUROSCI.2257-10.2010
Tractography-based connectomes are dominated by false-positive connections, 2016. ,
DOI : 10.1101/084137
Filtered Multitensor Tractography, IEEE Transactions on Medical Imaging, vol.29, issue.9, pp.1664-75, 2010. ,
DOI : 10.1109/TMI.2010.2048121
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045040
Prefrontal cortex white matter tracts in prodromal Huntington disease, Human Brain Mapping, vol.156, issue.Suppl 1, pp.363717-3732, 2015. ,
DOI : 10.1002/ajmg.b.31232
URL : https://hal.archives-ouvertes.fr/hal-01152276
Revealing mesoscopic structural universality with diffusion, Proceedings of the National Academy of Sciences, pp.1115088-5093, 2014. ,
DOI : 10.1002/nbm.1577
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3986157
Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure, NeuroImage, vol.78, pp.16-32, 2013. ,
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison, NeuroImage, vol.59, issue.3, 2012. ,
DOI : 10.1016/j.neuroimage.2011.09.081
Evaluation and statistical inference for human connectomes, Nature Methods, vol.12, issue.10, pp.1058-1063, 2014. ,
DOI : 10.1006/jmrb.1996.0086
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180802
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images, NeuroImage, vol.59, issue.4, pp.3976-94, 2012. ,
DOI : 10.1016/j.neuroimage.2011.10.045
MesoFT: Unifying Diffusion Modelling and Fiber Tracking, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.201-208, 2014. ,
DOI : 10.1007/978-3-319-10443-0_26
Global fiber reconstruction becomes practical, NeuroImage, vol.54, issue.2, pp.955-962, 2011. ,
DOI : 10.1016/j.neuroimage.2010.09.016
On the Relation between Fibre Diameter and Conduction Velocity in Myelinated Nerve Fibres, Proceedings of the Royal Society of London. Series B, pp.21729-21764, 1206. ,
DOI : 10.1098/rspb.1982.0092
Microstructural organization of axons in the human corpus callosum quantified by diffusion-weighted magnetic resonance spectroscopy of N-acetylaspartate and post-mortem histology, Brain Structure and Function, vol.56, issue.3, pp.1-13, 2013. ,
DOI : 10.1016/j.neuroimage.2011.01.084
Fusion of white and gray matter geometry: A framework for investigating brain development, Medical Image Analysis, vol.18, issue.8, pp.181349-1360, 2014. ,
DOI : 10.1016/j.media.2014.06.013
Characterizing brain tissue by assessment of the distribution of anisotropic microstructural environments in diffusion-compartment imaging (DIAMOND), Magnetic Resonance in Medicine, vol.63, issue.3, pp.963-977, 2015. ,
DOI : 10.1016/j.neuroimage.2012.06.033
Brain tissue compartment density estimated using diffusion-weighted MRI yields tissue parameters consistent with histology, Human Brain Mapping, vol.61, issue.9, pp.3687-3702, 2015. ,
DOI : 10.1016/j.neuroimage.2012.03.072
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4545675
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project, NeuroImage, vol.80, pp.220-233, 2013. ,
DOI : 10.1016/j.neuroimage.2013.05.078
MicroTrack: An Algorithm for Concurrent Projectome and Microstructure Estimation, International Conference on Medical Image Computing and Computer-Assisted Intervention, pp.183-90, 2010. ,
DOI : 10.1007/978-3-642-15705-9_23
SIFT: Spherical-deconvolution informed filtering of tractograms, NeuroImage, vol.67, pp.298-312, 2013. ,
DOI : 10.1016/j.neuroimage.2012.11.049
Demyelination increases radial diffusivity in corpus callosum of mouse brain, NeuroImage, vol.26, issue.1, pp.132-140, 2005. ,
DOI : 10.1016/j.neuroimage.2005.01.028
Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography, NeuroImage, vol.54, issue.1, pp.49-59, 2011. ,
DOI : 10.1016/j.neuroimage.2010.07.055
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited, Proceedings of the National Academy of Sciences of the United States of America, pp.11116574-11116583, 2014. ,
DOI : 10.1006/jmrb.1996.0167
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution, NeuroImage, vol.35, issue.4, pp.1459-1472, 2007. ,
DOI : 10.1016/j.neuroimage.2007.02.016
MRtrix: Diffusion tractography in crossing fiber regions, International Journal of Imaging Systems and Technology, vol.56, issue.1, pp.53-66, 2012. ,
DOI : 10.1016/j.neuroimage.2011.01.075
Estimation of fiber Orientation Probability Density Functions in High Angular Resolution Diffusion Imaging, NeuroImage, vol.47, issue.2, pp.638-650, 2009. ,
DOI : 10.1016/j.neuroimage.2009.04.049
Q-ball imaging, Magnetic Resonance in Medicine, vol.23, issue.6, pp.1358-1372, 2004. ,
DOI : 10.1080/14786447908639684
Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: A combined fMRI and DTI study, NeuroImage, vol.35, issue.3, pp.351064-1076, 2006. ,
DOI : 10.1016/j.neuroimage.2006.12.041
The white matter query language: a novel approach for describing human white matter anatomy, Brain Structure and Function, vol.52, issue.10, pp.1-17, 2016. ,
DOI : 10.1016/j.neuroimage.2010.05.049
URL : https://hal.archives-ouvertes.fr/hal-01247061
Tensorlines: advection-diffusion based propagation through diffusion tensor fields, Proceedings Visualization '99 (Cat. No.99CB37067), pp.249-253, 1999. ,
DOI : 10.1109/VISUAL.1999.809894
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.462.9398
Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences, Cell, vol.165, issue.7, pp.1651776-1788, 2016. ,
DOI : 10.1016/j.cell.2016.05.010
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI, International Conference on Medical Image Computing and Computer- Assisted Intervention, pp.82-89, 2011. ,
DOI : 10.1002/(SICI)1522-2594(199909)42:3<526::AID-MRM15>3.0.CO;2-J
Axon diameter mapping in the presence of orientation dispersion with diffusion MRI, NeuroImage, issue.3, pp.561301-561316, 2011. ,
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain, NeuroImage, vol.61, issue.4, pp.611000-1016, 2012. ,
DOI : 10.1016/j.neuroimage.2012.03.072
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm, IEEE Transactions on Medical Imaging, vol.20, issue.1, pp.45-57, 2001. ,
DOI : 10.1109/42.906424