Less is More: Learning Signals to Learn Representations in Healthcare
Computational Genomics Summer Institute CGSI via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of machine learning and healthcare imaging in this 40-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into the evolution of radiology, magnetic resonance imaging (MRI) physics, and cutting-edge algorithms for image reconstruction. Learn about the concept of "Less is More" in signal processing and its application to learning representations in healthcare. Examine performance metrics and view example images showcasing the potential of machine learning-augmented MRI for point-of-care disease identification. Gain insights from related research papers on topics such as interpretability methods, variational networks for accelerated MRI reconstruction, and advancements in machine learning for medical image reconstruction.
Syllabus
Introduction
Goals of Radiology
History of Radiology
History of MR
Definition of Better
Medical Imaging
MR Physics
K Space Matrix
Question
Recap
Algorithm
Performance
Example Images
Taught by
Computational Genomics Summer Institute CGSI