Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography

28 October 2021

Papers citing "Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography"

3 / 3 papers shown

Title
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks Daniel A. Serino Marc L. Klasky B. Nadiga Xiaojian Xu Artur Dubrawski MedIm AI4CE 17 0 0 02 Aug 2024
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data Anish Lahiri M. Klasky Jeffrey A. Fessler S. Ravishankar 17 24 0 23 Jan 2022
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 41 64 0 15 Oct 2019