most citedLow-Dose CT Image Denoising Using Parallel-Clone Networks

11 citations · 11 across the 1 of their papers we have counts for

collaborators

5 papers

physics.med-ph2020

Multiparametric Cardiac 18F-FDG PET: Pilot Comparison of FDG Delivery Rate with 82Rb Myocardial Blood Flow

Yang Zuo, Javier E. Lopez, Thomas W. Smith +4

Myocardial blood flow (MBF) and flow reserve are usually quantified in the clinic with positron emission tomography (PET) using a perfusion-specific radiotracer (e.g. 82Rbchloride)…

physics.med-ph2020

Modified Kernel MLAA Using Autoencoder for PET-enabled Dual-Energy CT

Siqi Li, Guobao Wang

Combined use of PET and dual-energy CT provides complementary information for multi-parametric imaging. PETenabled dual-energy CT combines a low-energy x-ray CT image with a high-e…

physics.med-ph2020

PET-enabled Dual-Energy CT: Image Reconstruction and A Proof-of-Concept Computer Simulation Study

Guobao Wang

Standard dual-energy computed tomography (CT) uses two different X-ray energies to obtain energy-dependent tissue attenuation information to allow quantitative material decompositi…

physics.med-ph2020

Multiparametric Cardiac 18F-FDG PET in Humans: Kinetic Model Selection and Identifiability Analysis

Yang Zuo, Ramsey D. Badawi, Cameron C. Foster +3

Cardiac 18F-FDG PET has been used in clinics to assess myocardial glucose metabolism. Its ability for imaging myocardial glucose transport, however, has rarely been exploited in cl…

eess.IV202011 cited

Low-Dose CT Image Denoising Using Parallel-Clone Networks

Siqi Li, Guobao Wang

Deep neural networks have a great potential to improve image denoising in low-dose computed tomography (LDCT). Popular ways to increase the network capacity include adding more lay…