Computational Diffusion MRI

Chapter 1 Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data

Chapter 2 Towards Learned Optimal q -Space Sampling in Diffusion MRI

Chapter 3 A Signal Peak Separation Index for Axisymmetric B-Tensor Encoding

Chapter 4 Improving Tractography Accuracy Using Dynamic Filtering

Chapter 5 Diffeomorphic Alignment of Along-Tract Diffusion Profiles from Tractography

Chapter 6 Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Network

Chapter 7 Learning Anatomical Segmentations Segmentation for Tractography Probabilistic tractography  from Diffusion MRI

Chapter 8 Diffusion MRI Fiber Orientation Distribution Function Estimation Using Voxel-Wise Spherical U-Net

Chapter 9 Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density

Chapter 10 Q-Space Quantitative Diffusion MRI Measures Using a Stretched-Exponential Representation

Chapter 11 Repeatability of Soma and Neurite Metrics in Cortical and Subcortical Grey Matter

Chapter 12 DW-MRI Microstructure Model of Models Captured Via Single-Shell Bottleneck Deep Learning

Chapter 14 Pretraining Improves Deep Learning Based Tissue Microstructure Estimation

Chapter 16 Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images

Chapter 17 Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis

Chapter 18 Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways

Chapter 19 Multi-modal Brain Age Estimation: A Comparative Study Confirms the Importance of Microstructure

Chapter 20 Longitudinal Parcellation of the Infant Cortex Using Multi-modal Connectome Harmonics

Chapter 22 Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation

Chapter 23 Exploring DTI Benchmark Databases Through Visual Analytics