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Yale University

Deep Learning Powered Faster and Low-Dose Imaging, MR, PET and Beyond

Yale University via YouTube

Overview

Explore cutting-edge applications of deep learning in medical imaging through this insightful conference talk delivered by Zechen Zhou from Subtle Medical. Discover how artificial intelligence is revolutionizing MR, PET, and other imaging modalities to achieve faster acquisition times and lower radiation doses. Gain valuable insights into the latest advancements in deep reconstruction techniques and their potential to transform diagnostic capabilities across various medical fields.

Syllabus

Deep Learning Powered Faster and Low-dose Imaging, MR, PET and Beyond

Taught by

Yale Radiology and Biomedical Imaging

Reviews

5.0 rating, based on 1 Class Central review

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  • Nandini Jaydev Dhangar
    This session explores the application of deep learning techniques to accelerate and improve medical imaging, particularly in Magnetic Resonance (MR) and Positron Emission Tomography (PET). It covers the latest advancements in deep learning-based image reconstruction, denoising, and enhancement.

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