Computational Diffusion MRI
15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Herausgegeben:Chamberland, Maxime; Hendriks , Tom; Karaman, Muge; Mito, Remika; Newlin , Nancy; Shailja, S.; Thompson, Elinor
Computational Diffusion MRI
15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Herausgegeben:Chamberland, Maxime; Hendriks , Tom; Karaman, Muge; Mito, Remika; Newlin , Nancy; Shailja, S.; Thompson, Elinor
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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.
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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.
The 19 full papers presented in this book were carefully reviewed and selected from 22 submissions.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 15171
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-86919-8
- Seitenzahl: 236
- Erscheinungstermin: 18. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 13mm
- Gewicht: 365g
- ISBN-13: 9783031869198
- ISBN-10: 3031869192
- Artikelnr.: 73325583
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 15171
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-86919-8
- Seitenzahl: 236
- Erscheinungstermin: 18. April 2025
- Englisch
- Abmessung: 235mm x 155mm x 13mm
- Gewicht: 365g
- ISBN-13: 9783031869198
- ISBN-10: 3031869192
- Artikelnr.: 73325583
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
- 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?.
.- 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?.
- 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?.
.- 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?.