output
20182026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025★ 1 cited

Inter-event Interval Microscopy for Event Cameras

Changqing Su, Yanqin Chen, Zihan Lin +5

Event cameras, an innovative bio-inspired sensor, differ from traditional cameras by sensing changes in intensity rather than directly perceiving intensity and recording these vari…

cs.CV2023

Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography

Xiao Ma, Zetian Zhang, Zexuan Ji +4

Myopia is a manifestation of visual impairment caused by an excessively elongated eyeball. Image data is critical material for studying high myopia and pathological myopia. Measure…

cs.CV2023★ 34 cited

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation

Yunqi Gu, Tao Zhou, Yizhe Zhang +4

Medical image segmentation plays a crucial role in computer-aided diagnosis. However, existing methods heavily rely on fully supervised training, which requires a large amount of l…

cs.CV2023★ 14 cited

Coronary Artery Semantic Labeling using Edge Attention Graph Matching Network

Chen Zhao, Zhihui Xu, Guang-Uei Hung +1

Coronary artery disease (CAD) is one of the primary causes leading deaths worldwide. The presence of atherosclerotic lesions in coronary arteries is the underlying pathophysiologic…

cs.CV2023★ 2 cited

A new method using deep learning to predict the response to cardiac resynchronization therapy

Kristoffer Larsena, Zhuo He, Chen Zhao +8

Background. Clinical parameters measured from gated single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) have value in predicting cardiac resynchroni…

cs.CV2023★ 22 cited

AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms

Chen Zhao, Zhihui Xu, Jingfeng Jiang +4

Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in th…

cs.CV2021★ 1 cited

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

Mingyuan Luo, Xin Yang, Xiaoqiong Huang +6

3D ultrasound (US) is widely used for its rich diagnostic information. However, it is criticized for its limited field of view. 3D freehand US reconstruction is promising in addres…