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_aComputational Diffusion MRI _h[electronic resource] : _b13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings / _cedited by Suheyla Cetin-Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Tomasz Pieciak, Elizabeth Powell, Francois Rheault. |
250 | _a1st ed. 2022. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2022. |
|
300 |
_aX, 149 p. 56 illus., 53 illus. in color. _bonline resource. |
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336 |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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347 |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13722 |
|
505 | 0 | _aData preprocessing -- Slice estimation in diffusion MRI of neonatal and fetal brains in image and spherical harmonics domains using autoencoders -- Super-resolution of manifold-valued diffusion MRI refined by multi-modal imaging -- Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study -- Correction of susceptibility distortion in EPI: a semi-supervised approach with deep learning -- The impact of susceptibility distortion correction protocols on adolescent diffusion MRI measures -- Signal representations -- Diffusion MRI Fibre Orientation Distribution Inpainting -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? -- Tractography and WM pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- Clustering in Tractography using Autoencoders (CINTA) -- Tractometric Coherence of Fiber Bundles in DTI. | |
520 | _aThis book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2022, which was held 22 September 2022, in conjunction with MICCAI 2022. The 12 full papers included were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: Data processing, Signal representations, Tractography and WM pathways. | ||
650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _994484 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aEducation _xData processing. _982607 |
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650 | 0 |
_aSocial sciences _xData processing. _983360 |
|
650 | 0 |
_aComputer science _xMathematics. _93866 |
|
650 | 1 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputers and Education. _941129 |
650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _931815 |
650 | 2 | 4 |
_aMathematics of Computing. _931875 |
700 | 1 |
_aCetin-Karayumak, Suheyla. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994488 |
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700 | 1 |
_aChristiaens, Daan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994489 |
|
700 | 1 |
_aFigini, Matteo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994490 |
|
700 | 1 |
_aGuevara, Pamela. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994491 |
|
700 | 1 |
_aPieciak, Tomasz. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994493 |
|
700 | 1 |
_aPowell, Elizabeth. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994495 |
|
700 | 1 |
_aRheault, Francois. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994497 |
|
710 | 2 |
_aSpringerLink (Online service) _994500 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031212055 |
776 | 0 | 8 |
_iPrinted edition: _z9783031212079 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v13722 _923263 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-21206-2 |
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