| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/tip/YapZS16 |
| P356 | DOI | 10.1109/TIP.2016.2588328 |
| P932 | PMC publication ID | 5219847 |
| P698 | PubMed publication ID | 27392357 |
| P894 | zbMATH Open document ID | 1408.94770 |
| P50 | author | Dinggang Shen | Q66730599 |
| Pew-Thian Yap | Q87301876 | ||
| P2093 | author name string | Yong Zhang | |
| P2860 | cites work | SPHERE: SPherical Harmonic Elastic REgistration of HARDI data | Q24629187 |
| High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity | Q28204393 | ||
| The WU-Minn Human Connectome Project: An overview | Q28673229 | ||
| A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data. | Q30574168 | ||
| Probing tissue microstructure with restriction spectrum imaging: Histological and theoretical validation | Q30578100 | ||
| Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data. | Q30841741 | ||
| Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data | Q30873702 | ||
| Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution | Q30975544 | ||
| A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI. | Q31137880 | ||
| Diagnosis of autism spectrum disorders using regional and interregional morphological features | Q33944702 | ||
| Development Trends of White Matter Connectivity in the First Years of Life | Q34037778 | ||
| Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparison | Q34048677 | ||
| Quantification of increased cellularity during inflammatory demyelination. | Q34101668 | ||
| Spatial Transformation of DWI Data Using Non-Negative Sparse Representation | Q34308559 | ||
| Enriched white matter connectivity networks for accurate identification of MCI patients | Q34432603 | ||
| Identification of MCI individuals using structural and functional connectivity networks | Q35663525 | ||
| Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging | Q36315032 | ||
| Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks | Q36470531 | ||
| Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI. | Q40282391 | ||
| Sparse and Adaptive Diffusion Dictionary (SADD) for recovering intra-voxel white matter structure. | Q40372243 | ||
| Spatially Regularized Compressed Sensing for High Angular Resolution Diffusion Imaging | Q43096864 | ||
| Orientationally invariant indices of axon diameter and density from diffusion MRI. | Q48151351 | ||
| Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution | Q48231513 | ||
| Asynchrony of the early maturation of white matter bundles in healthy infants: quantitative landmarks revealed noninvasively by diffusion tensor imaging | Q48264144 | ||
| NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain | Q48579145 | ||
| Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI. | Q48613475 | ||
| Beyond fractional anisotropy: extraction of bundle-specific structural metrics from crossing fiber models | Q48711835 | ||
| Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain | Q48832896 | ||
| Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution | Q50687941 | ||
| Sparse regularization for fiber ODF reconstruction: from the suboptimality of ℓ2 and ℓ1 priors to ℓ0. | Q51105182 | ||
| Diffusion basis functions decomposition for estimating white matter intravoxel fiber geometry. | Q51908087 | ||
| Estimating orientation distribution functions with probability density constraints and spatial regularity | Q84123416 | ||
| Estimation of Extracellular Volume from Regularized Multi-shell Diffusion MRI | Q85834856 | ||
| Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification | Q90408129 | ||
| Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization | Q90909118 | ||
| Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties | Q90909122 | ||
| A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems | Q94349026 | ||
| P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
| P577 | publication date | 2016-07-07 | |
| P1433 | published in | IEEE Transactions on Image Processing | Q15756967 |
| P1476 | title | Multi-Tissue Decomposition of Diffusion MRI Signals via L0 Sparse-Group Estimation |
| Q36247975 | A Novel Richardson-Lucy Model with Dictionary Basis and Spatial Regularization for Isolating Isotropic Signals |
| Q58570952 | A framework for multi-component analysis of diffusion MRI data over the neonatal period |
| Q58758809 | Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in - Space |
| Q47298785 | Dictionary-based fiber orientation estimation with improved spatial consistency |
| Q90246872 | Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data |
| Q64117340 | Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space |
| Q90251367 | Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks |
| Q64126002 | Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion |
| Q42374854 | Robust Fusion of Diffusion MRI Data for Template Construction |
| Q38874820 | Spatio-angular consistent construction of neonatal diffusion MRI atlases |
| Q88171881 | The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development |
Search more.