Computational Diffusion MRI

Chapter 1 Neural Spherical Harmonics for Structurally Coherent Continuous Representation of Diffusion MRI Signal

Chapter 2 A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI

Chapter 3 Diffusion Phantom Study of Fiber Crossings at Varied Angles Reconstructed with ODF-Fingerprinting

Chapter 4 Improving Multi-Tensor Fitting with Global Information from Track Orientation Density Imaging

Chapter 5 BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation

Chapter 6 Automated Mapping of Residual Distortion Severity in Diffusion MRI

Chapter 7 Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle

Chapter 8 Self Supervised Denoising Diffusion Probabilistic Models for Abdominal DW-MRI

Chapter 9 Voxlines: Streamline Transparency Through Voxelization and View-Dependent Line Orders

Chapter 10 Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork

Chapter 11 Fast Acquisition for Diffusion Tensor Tractography

Chapter 12 FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography

Chapter 13 Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography

Chapter 14 BundleCleaner : Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data

Chapter 15 A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data

Chapter 16 ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs

Chapter 17 Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort