5 citations · 7 across the 4 of their papers we have counts for
4 papers
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy
Garvit Goel, Jingyuan Qi, Wu-chun Feng +1
We present a deep-learning based computing framework for fast-and-accurate CT (DL-FACT) testing of COVID-19. Our CT-based DL framework was developed to improve the testing speed an…
CT Super Resolution via Zero Shot Learning
Zhicheng Zhang, Shaode Yu, Wenjian Qin +3
Computed Tomography (CT) is an advanced imaging technology used in many important applications. Here we present a deep-learning (DL) based CT super-resolution (SR) method that can…
Sinogram interpolation for sparse-view micro-CT with deep learning neural network
Xu Dong, Swapnil Vekhande, Guohua Cao
In sparse-view Computed Tomography (CT), only a small number of projection images are taken around the object, and sinogram interpolation method has a significant impact on final i…
An improved physics model for multi-material identification in photon counting CT
Xu Dong, Olga V. Pen, Zhicheng Zhang +1
Photon-counting computed tomography (PCCT) with energy discrimination capabilities hold great potentials to improve the limitations of the conventional CT, including better signal-…