Computational Diffusion MRI

Chapter 1 Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders

Chapter 2 Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging

Chapter 3 Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study

Chapter 4 Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning

Chapter 6 Diffusion MRI Fibre Orientation Distribution Inpainting

Chapter 7 Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning

Chapter 8 Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting

Chapter 9 How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation?

Chapter 10 DC $$^2$$ 2 U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net

Chapter 11 Clustering in Tractography Using Autoencoders (CINTA)

Chapter 12 Tractometric Coherence of Fiber Bundles in DTI