Computational Diffusion MRI

Super-Resolution Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data.- Towards optimal sampling in diffusion MRI for accelerated fiber tractography.- A Signal Peak Separation Index for axisymmetric B-tensor encoding.- Improving tractography accuracy using dynamic filtering.- Diffeomorphic Alignment of Along-Tract Diffusion Profile Data from Tractography.- Direct reconstruction of crossing muscle fibers in the human tongue using a deep neural network.- Learning Anatomical Segmentations for Tractography from Diffusion MRI.- Diffusion MRI fiber orientation distribution function estimation using voxel-wise spherical U-net.- Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density.- Q-space quantitative diffusion MRI measures using a stretched-exponential representation.- Repeatability of soma and neurite metrics in cortical and subcortical grey matter.- DW-MRI Microstructure Model of Models Captured via Single-Shell Bottleneck Deep Learning.- Deep learning model fitting for diffusion-relaxometry: a comparative study.- Pretraining Improves Deep Learning Based Tissue Microstructure Estimation.- Enhancing Diffusion Signal Augmentation using Spherical Convolutions.- Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images.- Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis.- Beyond lesion-load: Tractometry-informed metrics for characterizing white matter lesions within fibre pathways.- Multi-modal brain age estimation: a comparative study confirms the importance of microstructure.- Longitudinal Parcellation of the Infant Cortex Using Multi-Modal Connectome Harmonics.- Automatic segmentation of dentate nuclei for microstructure assessment: example of application to temporal lobe epilepsy patients.- Two Parallel Stages Deep Learning Network for Anterior Visual Pathway