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Computational Diffusion MRI: 15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings [Pehme köide]

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  • Formaat: Paperback / softback, 224 pages, kõrgus x laius: 235x155 mm, 76 Illustrations, color; 5 Illustrations, black and white, 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15171
  • Ilmumisaeg: 18-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031869192
  • ISBN-13: 9783031869198
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Computational Diffusion MRI: 15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 224 pages, kõrgus x laius: 235x155 mm, 76 Illustrations, color; 5 Illustrations, black and white, 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15171
  • Ilmumisaeg: 18-Apr-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031869192
  • ISBN-13: 9783031869198
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031869198.html
Märksõnad:
This book constitutes the proceedings of the 15th International Workshop, CDMRI 2024, held in conjunction with MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Marrakesh, Morocco, October 6, 2024.





The 19 full papers presented in this book were carefully reviewed and selected from 22 submissions.
- Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned
Diffusion Model.
.- Diffusion-Based Gray-White Matter Mapping for Quantitative Tractography in
Glioma Patients.
.- Ground-truth effects in learning-based fiber orientation distribution
estimation in neonatal brains.
.- Synthesizing 3D axon morphology: springs are all we need.
.- Randomly COMMITting: Iterative Convex Optimization for
Microstructure-Informed Tractography.
.- AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with
Detail-preserving Model-based Deep Learning.
.- Multi-dimensional Parameter Space Exploration for Streamline-specific
Tractography.
.- Cross-domain Fiber Cluster Shape Analysis for Language Performance
Cognitive Score Prediction.
.- Can Transfer Learning Improve Supervised Segmentation of White Matter
Bundles in Glioma Patients.
.- Image Quality Transfer of Diffusion MRI Guided By High-Resolution
Structural MRI.
.- QID2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI
Data.
.- Ts-FWE: Token-Aware Single-shell Free Water Estimation for Brain Diffusion
MRI.
.- Assessing Early Motor System Degeneration in the Spinal Cord of ALS
Patients Using Diffusion MRI: An Exploratory Study.
.- RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under
Continuous Representation.
.- Introducing QuantConn: Overcoming challenging diffusion acquisitions with
harmonization.
.- Learning Low-Rank Tensor Approximation for GPU-based Tractography.
.- Deep multivariate autoencoder for capturing complexity in Brain Structure
and Behaviour Relationships.
.- Heritability and Genetic Correlations Along the Corticospinal Tract.
.- Corpus Callosum Parcellation Methods: What Can Tractography Tell Us About
Them?.