000 | 03783nam a22006495i 4500 | ||
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001 | 978-3-030-56215-1 | ||
003 | DE-He213 | ||
005 | 20220530132037.0 | ||
007 | cr nn 008mamaa | ||
008 | 210210s2021 sz | s |||| 0|eng d | ||
020 |
_a9783030562151 _9978-3-030-56215-1 |
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024 | 7 |
_a10.1007/978-3-030-56215-1 _2doi |
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072 | 7 |
_aUYZF _2bicssc |
|
072 | 7 |
_aMAT013000 _2bisacsh |
|
072 | 7 |
_aUYZF _2thema |
|
082 | 0 | 4 |
_a001.4226 _223 |
245 | 1 | 0 |
_aAnisotropy Across Fields and Scales _h[electronic resource] / _cedited by Evren Özarslan, Thomas Schultz, Eugene Zhang, Andrea Fuster. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
|
300 |
_aX, 280 páginas109 ilustraciones, 91 ilustraciones in color. _bonline resource. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aMathematics and Visualization, _x2197-666X |
|
505 | 0 | _aTensor 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. | |
506 | 0 | _aOpen Access | |
520 | _aThis open access book focuses on processing, modeling, and visualization of anisotropy information... | ||
650 | 0 | _aInformation visualization. | |
650 | 0 | _aAlgebras, Linear. | |
650 | 0 | _aMathematics-Data processing. | |
650 | 0 | _aImage processing-Digital techniques. | |
650 | 0 | _aComputer vision. | |
650 | 0 | _aMathematical physics. | |
650 | 1 | 4 | _aData and Information Visualization. |
650 | 2 | 4 | _aLinear Algebra. |
650 | 2 | 4 | _aComputational Science and Engineering. |
650 | 2 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aTheoretical, Mathematical and Computational Physics. |
700 | 1 |
_aÖzarslan, Evren. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aSchultz, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aZhang, Eugene. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aFuster, Andrea. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030562144 |
776 | 0 | 8 |
_iPrinted edition: _z9783030562168 |
776 | 0 | 8 |
_iPrinted edition: _z9783030562175 |
830 | 0 |
_aMathematics and Visualization, _x2197-666X |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-56215-1 |
912 | _aZDB-2-SMA | ||
912 | _aZDB-2-SXMS | ||
912 | _aZDB-2-SOB | ||
999 |
_c154032 _d154032 |