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Bayesian deep learning-based 1H-MRS of the brain: Metabolite quantification with uncertainty estimation using Monte Carlo dropout

Author:HyeongHun Lee  Hyeonjin Kim  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Analysis/Quantification  

Program Number:2014  

Room Session:Concurrent 2  

Institution:Seoul National University  Seoul National University Hospital  

Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain

Author:Joon Jang  Hyeong Hun Lee  Ji-Ae Park  Hyeonjin Kim  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Spectroscopy: Acq/Recon/Analysis  

Session Name:Spectroscopy: Acq/Recon/Analysis  

Program Number:1997  

Room Session:Concurrent 2  

Institution:Korea Institute of Radiological & Medical Science  Seoul National University  Seoul National University Hospital