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This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge {u2013} invited contribution
Monografía
monografia Rebiun28853248 https://catalogo.rebiun.org/rebiun/record/Rebiun28853248 cr nn 008mamaa 210921s2021 sz | s |||| 0|eng d 9783030876159 10.1007/978-3-030-87615-9 doi UPVA 997850098303706 UAM 991008097213004211 UPM 991005950526204212 CBUC 991003530251506714 CBUC 991009900148906719 CBUC 991004923246206711 CBUC 991010475286706709 CBUC 991004032842706713 CBUC 991000744874506712 CBUC 991012583459006708 UCAR 991008222839804213 CBUC 991010475286706709 UPNA0540322 UR0535377 UYQV bicssc COM016000 bisacsh UYQV thema Computational Diffusion MRI Recurso electronico] 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings edited by Suheyla Cetin-Karayumak, Daan Christiaens, Matteo Figini, Pamela Guevara, Noemi Gyori, Vishwesh Nath, Tomasz Pieciak 1st ed. 2021 Cham Springer International Publishing Imprint: Springer 2021 Cham Cham Springer International Publishing Imprint: Springer IX, 172 p. 72 illus., 68 illus. in color. online resource IX, 172 p. 72 illus., 68 illus. in color. Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Image Processing, Computer Vision, Pattern Recognition, and Graphics 13006 Acquisition -- On the b-value derivation for di usion-weighted Double-Echo Steady-State (dwDESS) Magnetic Resonance Imaging -- Quantitative evaluation of enhanced multi-plane clinical fetal diffusion MRI with a crossing- ber phantom -- Microstructure modelling -- A microstructure model from conventional diffusion MRI of meningiomas: impact of noise and error minimization -- Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI -- Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks -- Synthesizing VERDICT maps from standard DWI data using GANs -- Tractography and Connectivity -- A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging -- Fast tractography streamline search -- Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport -- Applications and Visualisation -- Diffusion MRI Automated Region of Interest Analysis in Standard Atlas Space versus the Individual's Native Space -- Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning -- Lesion Normalization and Supervised Learning in Post-Traumatic Seizure Classiffication with Diffusion MRI -- Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL -- DiSCo Challenge - Invited contribution -- The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset. . This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge {u2013} invited contribution Optical data processing Computers Mathematical statistics Computer Imaging, Vision, Pattern Recognition and Graphics Information Systems and Communication Service Probability and Statistics in Computer Science Cetin-Karayumak, Suheyla. editor. edt. http://id.loc.gov/vocabulary/relators/edt Christiaens, Daan. editor. https://orcid.org/0000-0001-8323-5451. edt. http://id.loc.gov/vocabulary/relators/edt Figini, Matteo. editor. https://orcid.org/0000-0002-8238-2262. edt. http://id.loc.gov/vocabulary/relators/edt Guevara, Pamela. editor. https://orcid.org/0000-0001-9988-400X. edt. http://id.loc.gov/vocabulary/relators/edt Gyori, Noemi. editor. https://orcid.org/0000-0001-9021-0957. edt. http://id.loc.gov/vocabulary/relators/edt Nath, Vishwesh. editor. edt. http://id.loc.gov/vocabulary/relators/edt Pieciak, Tomasz. editor. https://orcid.org/0000-0002-7543-3658. edt. http://id.loc.gov/vocabulary/relators/edt SpringerLink Book Series (Online Service) Image Processing, Computer Vision, Pattern Recognition, and Graphics 13006