Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
| Anisotropy Across Fields and Scales [[electronic resource] /] / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
| Autore | Özarslan Evren |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
| Disciplina | 004 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Mathematics
Visualization Matrix theory Algebra Computer mathematics Optical data processing Mathematical physics Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
| Soggetto non controllato |
Visualization
Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics Data and Information Visualization Linear Algebra tensor tensor fields higher-order harmonics spherical harmonics image processing medical imaging diffusion-weighted imaging (DWI) structural mechanics astrophysics statistics open access Combinatorics & graph theory Algebra Maths for scientists Computer vision Mathematical physics |
| ISBN | 3-030-56215-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
| Record Nr. | UNISA-996466563203316 |
Özarslan Evren
|
||
| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster
| Anisotropy Across Fields and Scales / / edited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster |
| Autore | Özarslan Evren |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (X, 280 p. 109 illus., 91 illus. in color.) |
| Disciplina | 004 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Mathematics
Visualization Matrix theory Algebra Computer mathematics Optical data processing Mathematical physics Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics |
| Soggetto non controllato |
Visualization
Linear and Multilinear Algebras, Matrix Theory Computational Science and Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Theoretical, Mathematical and Computational Physics Data and Information Visualization Linear Algebra tensor tensor fields higher-order harmonics spherical harmonics image processing medical imaging diffusion-weighted imaging (DWI) structural mechanics astrophysics statistics open access Combinatorics & graph theory Algebra Maths for scientists Computer vision Mathematical physics |
| ISBN | 3-030-56215-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Tensor approximation for multidimensional and multivariate data -- Tensor field topology without symmetrization using Hermitian tensors -- Continuous histograms for Anisotropy of 2D symmetric piece-wise linear tensor fields -- Riemann-DTI geodesic tractography revisited -- Fourth-order anisotropic diffusion for inpainting and image compression -- Advanced deep learning for processing orientation-dependent diffusion magnetic resonance imaging data - A review -- On the variance measure of diffusion tensors in two dimensions -- Magnetic resonance assessment of effective confinement anisotropy with powder-averaged single and double diffusion encoding -- Merge trees, neutral surfaces, and tensor field topology -- Asymmetric tensor analysis -- Anisotropy issues in shape-based object analysis -- Tractogram filtering -- Multispectral image processing in astronomy -- Anisotropy in the human placenta in pregnancies complicated by fetal growth restriction -- The case for spatially homogeneous models in high gradient strength diffusion-weighted MRI: A position paper on the potential applicability of stochastic geometry. |
| Record Nr. | UNINA-9910473459203321 |
|
Özarslan Evren
|
||
| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Diffusion MRI : MICCAI Workshop, Athens, Greece, October 2016 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert
| Computational Diffusion MRI : MICCAI Workshop, Athens, Greece, October 2016 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XI, 212 p. 70 illus., 66 illus. in color.) |
| Disciplina | 510 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Biomathematics
Mathematics Visualization Computer simulation Optical data processing Statistics Mathematical and Computational Biology Simulation and Modeling Image Processing and Computer Vision Statistics for Life Sciences, Medicine, Health Sciences |
| ISBN | 3-319-54130-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The MR Physics of Advanced Diffusion Imaging: Matt Hall -- Noise Floor Removal via Phase Correction of Complex Diffusion-Weighted Images: Influence on DTI and q-Space Metrics: M. Pizzolato et al -- Regularized Dictionary Learning with Robust Sparsity Fitting for Compressed Sensing Multishell HARDI: K. Gupta et al -- Denoising Diffusion-Weighted Images Using Grouped Iterative Hard Thresholding of Multi-Channel Framelets: Jian Zhang et al -- Diffusion MRI Signal Augmentation – From Single Shell to Multi Shell with Deep Learning: S. Koppers et al -- Multi-Spherical Diffusion MRI: Exploring Diffusion Time Using Signal Sparsity: R.H.J. Fick et al -- Sensitivity of OGSE ActiveAx to Microstructural Dimensions on a Clinical Scanner: L.S. Kakkar et al -- Groupwise Structural Parcellation of the Cortex: A Sound Approach Based on Logistic Models: G. Gallardo et al -- Robust Construction of Diffusion MRI Atlases with Correction for Inter-Subject Fiber Dispersion: Z. Yang et al -- Parcellation of Human Amygdala Subfields Using Orientation Distribution Function and Spectral K-means Clustering: Q. Wen et al -- Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity: G. Zimmerman Moreno et al -- An Unsupervised Group Average Cortical Parcellation using Diffusion MRI to Probe Cytoarchitecture: T. Ganepola et al -- Using multiple Diffusion MRI Measures to Predict Alzheimer’s Disease with a TV-L1 Prior: J.E. Villalon-Reina et al -- Accurate Diagnosis of SWEDD vs. Parkinson Using Microstructural Changes of Cingulum Bundle: Track-Specific Analysis: F. Rahmani et al -- Colocalization of Functional Activity and Neurite Density within Cortical Areas: A. Teillac et al -- Comparison of Biomarkers in Transgenic Alzheimer Rats Using Multi-shell Diffusion MRI: R.H.J. Fick -- Working Memory Function in Recent-onset Schizophrenia Patients Associated with White Matter Microstructure: Connectometry Approach: M. Dolatshahi et al. |
| Record Nr. | UNINA-9910254284003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert
| Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Mathematics
Visualization Bioinformatics Computer mathematics Computer simulation Optical data processing Statistics Computational Biology/Bioinformatics Computational Science and Engineering Simulation and Modeling Image Processing and Computer Vision Statistics for Life Sciences, Medicine, Health Sciences |
| ISBN | 3-319-28588-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holistic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squares Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpening: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al. |
| Record Nr. | UNINA-9910254075803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||