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Breath-hold 3D MRCP at 1.5T using Fast 3D mode and a deep learning-based noise-reduction technique

Author:Taku Tajima Hiroyuki Akai Koichiro Yasaka Rintaro Miyo Masaaki Akahane Naoki Yoshioka Shigeru Kiryu

Session Type:Digital Poster

Session Date:Tuesday, 18 May 2021

Topic:Machine Learning for Data Acquisition & Image Reconstruction

Session Name:Machine Learning: Removing Artifacts & Improving Resolution

Program Number:1775

Room Session:Concurrent 1

Institution:International University of Health and Welfare Mita Hospital International University of Health and Welfare Narita Hospital The Institute of Medical Science, The University of Tokyo

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