Computational Diffusion MRI : 15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / / edited by Maxime Chamberland, Tom Hendriks , Muge Karaman, Remika Mito, Nancy Newlin, S. Shailja, Elinor Thompson

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XI, 224 p. 81 illus., 76 illus. in color.)
• Disciplina: 006
• Soggetto topico: Image processing - Digital techniques; Computer vision; Artificial intelligence; Education - Data processing; Social sciences - Data processing; Computer science - Mathematics; Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence; Computers and Education; Computer Application in Social and Behavioral Sciences; Mathematics of Computing
• Persona (resp. second.): ChamberlandMaxime; Hendriks Tom; KaramanMuge; MitoRemika; NewlinNancy; ShailjaS; ThompsonElinor
• Nota di contenuto: - 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?.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational diffusion MRI
• ISBN: 3-031-86920-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996655267103316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15171