Description

Book Synopsis

- 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?.

Computational Diffusion MRI

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    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Chamberland Maxime

    15 in stock


      View other formats and editions of Computational Diffusion MRI by Chamberland Maxime

      Publisher: Springer
      Publication Date: 20/04/2025
      ISBN13: 9783031869198, 978-3031869198
      ISBN10:
      Also in:
      Computing Image processing

      Description

      Book Synopsis

      - 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?.

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