Computational Diffusion MRI
Springer International Publishing (Verlag)
978-3-031-86919-8 (ISBN)
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?.
| Erscheinungsdatum | 19.04.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XI, 224 p. 81 illus., 76 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Connectomics • Diffusion MRI • diffusion-weighted imaging • Image Processing • image reconstruction • Image Registration • Image Segmentation • machine learning • Magnetic Resonance Imaging • Medical Image Analysis • Medical Image Computing • microstructure imaging • neuroimaging • signal modeling • tractography • Visualization • white matter |
| ISBN-10 | 3-031-86919-2 / 3031869192 |
| ISBN-13 | 978-3-031-86919-8 / 9783031869198 |
| Zustand | Neuware |
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