Deep Learning-Based MR Image Reconstruction and Contrast Conversion
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Introduction
Application of Deep Learning
Conventional Image Reconstruction
Domain
Method
Math
Variational Network
Deep Cascade Network
K Space
Dual Domain Approach
Intermediate Results
Domain Transform Learning
Automate Concept
Proposed Network
Results
Parallel Imaging
MultiStream CNN
Conclusion
Parameter Mapping
Reconstruction Framework
Reconstruction Results
Contrast Conversion
Summary
Taught by
Institute for Pure & Applied Mathematics (IPAM)