75 citations · 190 across the 11 of their papers we have counts for
5 papers · 1 filter
Deep Learning Improves Dataset Recovery for High Frame Rate Synthetic Transmit Aperture Imaging
Jingke Zhang, Jianwen Luo
Synthetic transmit aperture (STA) imaging can achieve optimal lateral resolution in the full field of view, at the cost of low frame rate (FR) and low signal-to-noise ratio (SNR).…
A semi-automatic ultrasound image analysis system for the grading diagnosis of COVID-19 pneumonia
Yuanyuan Wang, Yao Zhang, Qiong He +2
This paper proposes a semi-automatic system based on quantitative characterization of the specific image patterns in lung ultrasound (LUS) images, in order to assess the lung condi…
Partial Hadamard Encoded Synthetic Transmit Aperture for High Frame Rate Imaging with Minimal l2-Norm Least Square Method
Jingke Zhang, Jing Liu, Wei Fan +2
Synthetic transmit aperture (STA) ultrasound imaging is well known for ideal focusing in the full field of view. However, it suffers from low signal-to-noise ratio (SNR) and low fr…
A General Framework for Inverse Problem Solving using Self-Supervised Deep Learning: Validations in Ultrasound and Photoacoustic Image Reconstruction
Jingke Zhang, Qiong He, Congzhi Wang +2
The image reconstruction process in medical imaging can be treated as solving an inverse problem. The inverse problem is usually solved using time-consuming iterative algorithms wi…
In Vivo Assessment of Hypertensive Nephrosclerosis Using Ultrasound Localization Microscopy
L. Qiu, J. Zhang, Y. Yang +5
Purpose: As a typical chronic kidney disease (CKD), hypertensive nephrosclerosis (HN) is a common syndrome of hypertension, characterized by chronic kidney microvascular damage. Ea…