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 15 Enhancing Diffusion Signal Augmentation Using Spherical Convolutions

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