Computational Diffusion MRI

Neural Spherical Harmonics for structurally coherent continuous representation of diffusion MRI signal.- A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI.- Diffusionphantomstudyof fiber crossings at varied angles reconstructed with ODF-Fingerprinting.- Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging.- BundleSeg: A versatile, reliable and reproducible approach to white matter bundle segmentation.- Automated Mapping of Residual Distortion Severity in Diffusion MRI.- Automatic fast and reliable recognition of a small brain white matter bundle.- Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI.- Voxlines: Streamline Transparency through Voxelization and View-Dependent Line Orders.- Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork.- Fast Acquisition for Diffusion Tensor Tractography.- FASSt : Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography.- Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography.- BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.- A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data.- ReTrace: Topological evaluation of white matter tractography algorithms using Reeb graphs.- Advanced diffusion MRI modeling sheds light on FLAIR white matter hyperintensities in an aging cohort.