34 citations · 99 across the 35 of their papers we have counts for
8 papers · 1 filter
CT-based Anomaly Detection of Liver Tumors Using Generative Diffusion Prior
Yongyi Shi, Chuang Niu, Amber L. Simpson +3
CT is a main modality for imaging liver diseases, valuable in detecting and localizing liver tumors. Traditional anomaly detection methods analyze reconstructed images to identify…
Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications
Mengzhou Li, Guibin Zan, Wenbin Yun +3
We introduce an ultrahigh-resolution (50μm\) robotic micro-CT design for localized imaging of carotid plaques using robotic arms, cutting-edge detector, and machine learning techno…
A coronary artery phantom for task-based CT performance assessment and a comparative study of clinical CT, photon counting CT, and micro CT
Jed D. Pack, Paul Fitzgerald, Stephen Araujo +7
While drastic improvements in CT technology have occurred in the past 25 years, spatial resolution is one area where progress has been limited until recently. New photon counting C…
X-ray projection imaging of metal oxide particles inside gingival tissues
Jarrod N. Cortez, Ignacio O. Romero, Md Sayed Tanveer +7
There is increasing recognition that oral health affects overall health and systemic diseases. Nonetheless it remains challenging to rapidly screen patient biopsies for signs of in…
Low-dose CT denoising with convolutional neural network
Hu Chen, Yi Zhang, Weihua Zhang +4
To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant deterioration of the image qu…
Low-Dose CT via Deep Neural Network
Hu Chen, Yi Zhang, Weihua Zhang +4
In order to reduce the potential radiation risk, low-dose CT has attracted more and more attention. However, simply lowering the radiation dose will significantly degrade the imagi…