CSMRI Resources This repo mainly collects some important speeches, educational videos and academic presentations about Compressed sensing & MRI reconstruction 🧲 MRI Basics Raymond V. Damadian The Story of the MRI Basic Physics & a Brief History MRI: Basic Physics & a Brief History How MRI Works How MRI Works (Part 1 - NMR Basics) (Part 2 - The Spin Echo) (Part 3 - The Fourier Transform and K-Space) MRI Signals and Sequences Stanford-RAD229 [website] Understand k-space K-Space: A way to understand how MRI parameters affect images Parallel Imaging Parallel Imaging 📚 Compressed Sensing Basics David Donoho Gauss Prize Lecture: Compressed sensing — from blackboard to bedside — David Donoho — ICM2018 Michael Lustig ISMRM MR Academy - Compressed Sensing in MRI ISMRM-ESMRMB 2018 low rank ISMRM 2020 Tutorial: Low Rank Reconstruction Approaches sparsity Sparsity and the L1 Norm ✴️ Radial MRI Kai Tobias Block Improving the Robustness of Clinical MRI -- Using Radial Sampling and Compressed Sensing Li Feng XD-GRASP for compressed sensing and parallel imaging Daniel Sodickson Daniel Sodickson plenary talk: The Rapid Imaging Renaissance ☝️ MR Fingerprinting Dan Ma ISMRM MR Academy - MR Fingerprinting Mark Griswold How MR Fingerprinting Could Change the Way We Think About MRI 🚀 Low Field MRI Clarissa Cooley Low-cost "purpose-built" MRI systems for brain imaging Matthew Rosen Life at the bottom: millitesla MRI in the 21st century 🧙♂️ Deep Learning Methods Jeffrey Fessler Joint Optimization and Learning for Image Reconstruction in MRI Michal Sofka Deep MR image reconstruction across k-space and image domain 🤔 Others Klaas P. Prüssmann Richer data, better defined: Gearing up MRI for the learning age 📚 Documents Convex Optimization (CMU Fall19 Lecture material) MRI Questions website