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072 7 _aCOM016000
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082 0 4 _a006
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245 1 0 _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.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
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338 _aonline resource
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347 _atext file
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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
650 0 _aComputer vision.
_994484
650 0 _aArtificial intelligence.
_93407
650 0 _aEducation
_xData processing.
_982607
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.
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700 1 _aChristiaens, Daan.
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700 1 _aFigini, Matteo.
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700 1 _aGuevara, Pamela.
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700 1 _aPieciak, Tomasz.
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_994493
700 1 _aPowell, Elizabeth.
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_994495
700 1 _aRheault, Francois.
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_994497
710 2 _aSpringerLink (Online service)
_994500
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031212079
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
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_923263
856 4 0 _uhttps://doi.org/10.1007/978-3-031-21206-2
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