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Mingjun Qu

Showing results (1-10 of 10) with videos related to

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Medical Image Analysis|May 19, 2023
Learning what and where to segment: A new perspective on medical image few-shot segmentationYong Feng, Yonghuai Wang, Honghe Li, et al.
Medical & Biological Engineering & Computing|October 17, 2024
Contour-constrained branch U-Net for accurate left ventricular segmentation in echocardiographyMingjun Qu, Jinzhu Yang, Honghe Li, et al.
Medical Image Analysis|October 12, 2022
Automatic identification of septal flash phenomenon in patients with complete left bundle branch blockMingjun Qu, Yonghuai Wang, Honghe Li, et al.
Heliyon|January 1, 2024
STGA-MS: AI diagnosis model of regional wall motion abnormality based on 2D transthoracic echocardiographySong Sun, Yonghuai Wang, Qi Yu, et al.
Medical Image Analysis|July 18, 2024
A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detectionHonghe Li, Jinzhu Yang, Zhanfeng Xuan, et al.
Computer Methods and Programs in Biomedicine|November 16, 2023
DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiographyLingzhi Tang, Xueqi Wang, Jinzhu Yang, et al.
Computers in Biology and Medicine|March 2, 2023
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiographyHonghe Li, Yonghuai Wang, Mingjun Qu, et al.
Artificial Intelligence in Medicine|January 14, 2025
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogramYiqiu Qi, Guangyuan Li, Jinzhu Yang, et al.
Biomedical Engineering Letters|September 8, 2025
Optimized multi-stage network with multi-dimensional spatiotemporal interactions for septal and apical hypertrophic cardiomyopathy classification using 12-lead ECGsQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Computer Methods and Programs in Biomedicine|December 22, 2024
CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentationQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|May 19, 2023
Learning what and where to segment: A new perspective on medical image few-shot segmentationYong Feng, Yonghuai Wang, Honghe Li, et al.
Medical & Biological Engineering & Computing|October 17, 2024
Contour-constrained branch U-Net for accurate left ventricular segmentation in echocardiographyMingjun Qu, Jinzhu Yang, Honghe Li, et al.
Medical Image Analysis|October 12, 2022
Automatic identification of septal flash phenomenon in patients with complete left bundle branch blockMingjun Qu, Yonghuai Wang, Honghe Li, et al.
Heliyon|January 1, 2024
STGA-MS: AI diagnosis model of regional wall motion abnormality based on 2D transthoracic echocardiographySong Sun, Yonghuai Wang, Qi Yu, et al.
Medical Image Analysis|July 18, 2024
A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detectionHonghe Li, Jinzhu Yang, Zhanfeng Xuan, et al.
Computer Methods and Programs in Biomedicine|November 16, 2023
DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiographyLingzhi Tang, Xueqi Wang, Jinzhu Yang, et al.
Computers in Biology and Medicine|March 2, 2023
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiographyHonghe Li, Yonghuai Wang, Mingjun Qu, et al.
Artificial Intelligence in Medicine|January 14, 2025
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogramYiqiu Qi, Guangyuan Li, Jinzhu Yang, et al.
Biomedical Engineering Letters|September 8, 2025
Optimized multi-stage network with multi-dimensional spatiotemporal interactions for septal and apical hypertrophic cardiomyopathy classification using 12-lead ECGsQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Computer Methods and Programs in Biomedicine|December 22, 2024
CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentationQi Yu, Hongxia Ning, Jinzhu Yang, et al.
Pageof 1