Convex Optimization
A Riemannian Framework for Tensor Computing
International Journal of Computer Vision
On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Riemannian Framework for Estimating Symmetric Positive Definite 4th Order Diffusion Tensors
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Extreme diffusion values for non-Gaussian diffusions
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Estimating Crossing Fibers: A Tensor Decomposition Approach
IEEE Transactions on Visualization and Computer Graphics
Optimal Acquisition Schemes in High Angular Resolution Diffusion Weighted Imaging
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Structure-Adaptive Anisotropic Filter with Local Structure Tensors
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 02
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Ternary quartic approach for positive 4th order diffusion tensors revisited
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
4th order diffusion tensor interpolation with divergence and curl constrained Bézier patches
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
ODF reconstruction in Q-ball imaging with solid angle consideration
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Symmetric positive 4th order tensors & their estimation from diffusion weighted MRI
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Multi-fiber reconstruction from diffusion MRI using mixture of wisharts and sparse deconvolution
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
International Journal of Computer Vision
Maximum entropy spherical deconvolution for diffusion MRI
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
Perpendicular fibre tracking for neural fibre bundle analysis using diffusion MRI
International Journal of Bioinformatics Research and Applications
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Tensors of various orders can be used for modeling physical quantities such as strain and diffusion as well as curvature and other quantities of geometric origin. Depending on the physical properties of the modeled quantity, the estimated tensors are often required to satisfy the positivity constraint, which can be satisfied only with tensors of even order. Although the space $\mathcal{P}_0^{2m}$ of $2m$th-order symmetric positive semidefinite tensors is known to be a convex cone, enforcing positivity constraint directly on $\mathcal{P}_0^{2m}$ is usually not straightforward computationally because there is no known analytic description of $\mathcal{P}_0^{2m}$ for $m1$. In this paper, we propose a novel approach for enforcing the positivity constraint on even-order tensors by approximating the cone $\mathcal{P}_0^{2m}$ for the cases $0