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Automatic assessment of motion artifact on Nigrosome 1 visualization protocol using CNN-LSTM

Author:Junghwa Kang  Na Young Shin  Yoonho Nam  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Parkinson & Neurodegeneration  

Session Name:Brain Stem & Cerebellar Diseases  

Program Number:3020  

Room Session:Concurrent 6  

Institution:Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, South Korea  Seoul St.Mary’s Hospital, Department of Radiology, The Catholic University of Korea, Seoul, South Korea  

DeepTSE-T2: Deep learning-powered T2 mapping with B1+ estimation using a product double-echo Turbo Spin Echo sequence

Author:Hwihun Jeong  Hyeong-Geol Shin  Sooyeon Ji  Jinhee Jang  Hyun-Soo Lee  Yoonho Nam  Jongho Lee  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0328  

Room Session:Concurrent 1  

Institution:Hankuk University of Foreign Studies  Seoul National University  Siemens healthineers Ltd  The Catholic University of Korea