04381nam 22007335 450 991063392850332120251113191944.09783031212062303121206110.1007/978-3-031-21206-2(MiAaPQ)EBC7150693(Au-PeEL)EBL7150693(CKB)25510547100041(OCoLC)1352969860(PPN)266348688(DE-He213)978-3-031-21206-2(EXLCZ)992551054710004120221124d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational Diffusion MRI 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings /edited by Suheyla Cetin-Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Tomasz Pieciak, Elizabeth Powell, Francois Rheault1st ed. 2022.Cham :Springer Nature Switzerland :Imprint: Springer,2022.1 online resource (156 pages)Lecture Notes in Computer Science,1611-3349 ;13722Print version: Cetin-Karayumak, Suheyla Computational Diffusion MRI Cham : Springer,c2022 9783031212055 Includes bibliographical references and index.Data 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.This 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.Lecture Notes in Computer Science,1611-3349 ;13722Image processingDigital techniquesComputer visionArtificial intelligenceEducationData processingSocial sciencesData processingComputer scienceMathematicsComputer Imaging, Vision, Pattern Recognition and GraphicsArtificial IntelligenceComputers and EducationComputer Application in Social and Behavioral SciencesMathematics of ComputingImage processingDigital techniques.Computer vision.Artificial intelligence.EducationData processing.Social sciencesData processing.Computer scienceMathematics.Computer Imaging, Vision, Pattern Recognition and Graphics.Artificial Intelligence.Computers and Education.Computer Application in Social and Behavioral Sciences.Mathematics of Computing.616.07548Cetin-Karayumak SuheylaMiAaPQMiAaPQMiAaPQBOOK9910633928503321Computational diffusion MRI1409948UNINA