Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction

2 May 2019Itzik MalkielSangtae AhnValentina TavianiAnne MeniniLior WolfChristopher J. Hardy

Recent sparse MRI reconstruction models have used Deep Neural Networks (DNNs) to reconstruct relatively high-quality images from highly undersampled k-space data, enabling much faster MRI scanning. However, these techniques sometimes struggle to reconstruct sharp images that preserve fine detail while maintaining a natural appearance... (read more)

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