diffusion mri

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement ICLR 2025 Equivariant spatio-hemispherical networks for diffusion MRI deconvolution NeurIPS 2024 Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching CVPR 2024 Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context MIDL 2023 E(3) x SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI MIDL 2023 Spatio-Angular Convolutions for Super-resolution in Diffusion MRI NeurIPS 2023 Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder MIDL 2022 Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​ NeurIPS 2020 Understanding Alzheimer disease’s structural connectivity through explainable AI MIDL 2020 Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays NeurIPS 2017 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016 Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NeurIPS 2014 Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI CVPR 2014