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Yale University

Deep Learning with Diffusion & Large Models

Yale University via YouTube

Overview

Explore cutting-edge deep learning techniques for CT reconstruction in this insightful conference talk presented by Ge Wang and his research group from Rensselaer Polytechnic Institute. Delve into the applications of diffusion models and large-scale neural networks in computed tomography, gaining valuable insights into advanced image reconstruction methods. Learn how these innovative approaches are revolutionizing medical imaging and enhancing diagnostic capabilities in the field of radiology.

Syllabus

CT – Deep Learning with Diffusion & Large Models

Taught by

Yale Radiology and Biomedical Imaging

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