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Less is More: Learning Signals to Learn Representations in Healthcare

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Machine Learning Courses Artificial Intelligence Courses Radiology Courses Medical Imaging Courses Image Reconstruction Courses Interpretability Courses

Course Description

Overview

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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

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