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Improved CNN-based Image reconstruction using regularly under-sampled signal obtained in phase scrambling Fourier transform imaging

Author:Satoshi ITO  Shun UEMATSU  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1974  

Room Session:Concurrent 1  

Institution:Utsunomiya University  

Multi-channel and multi-group-based CNN Image Reconstruction using Equal-sized Multi-resolution Image Decomposition

Parallelized Blind MR Image Denoising using Deep Convolutional Neural Network