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Yale University

Fast Motion-Resolved 4D MRI Using Convolutional Networks Without Data Consistency

Yale University via YouTube

Overview

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Explore cutting-edge techniques for rapid motion-resolved 4D MRI reconstruction in this insightful conference talk presented by Ricardo Otazo from Memorial Sloan Kettering Cancer Center. Delve into the innovative application of convolutional networks without data consistency, offering a novel approach to accelerate and enhance 4D MRI imaging. Gain valuable insights into the latest advancements in medical imaging technology and their potential impact on diagnostic accuracy and patient care.

Syllabus

Fast motion-resolved 4D MRI using convolutional networks without data consistency

Taught by

Yale Radiology and Biomedical Imaging

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