Automatic identification of septal flash phenomenon in patients with complete left bundle branch block. - Mingjun Qu; Yonghuai Wang; Honghe Li; Jinzhu Yang; Chunyan Ma (Medical Image Anal., 2022)

Learning what and where to segment: A new perspective on medical image few-shot segmentation. - Yong Feng; Yonghuai Wang; Honghe Li; Mingjun Qu; Jinzhu Yang (Medical Image Anal., 2023)

EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. - Honghe Li; Yonghuai Wang; Mingjun Qu; Peng Cao 001; Chaolu Feng; Jinzhu Yang (Comput. Biol. Medicine, 2023)

FFANet - Full frequency attention net for automatic diastolic function assessment. - Mingjun Qu; Shitong Wang; Yonghuai Wang; Honghe Li; Lanting Zhao; Peng Cao 001; Jinzhu Yang (Biomed. Signal Process. Control., 2023)

Topology-sensitive weighting model for myocardial segmentation. - Song Sun; Yonghuai Wang; Jinzhu Yang; Yong Feng; Lingzhi Tang; Shuo Liu; Hongxia Ning (Comput. Biol. Medicine, 2023)

A Bayesian network for simultaneous keyframe and landmark detection in ultrasonic cine. - Yong Feng; Jinzhu Yang; Meng Li; Lingzhi Tang; Song Sun; Yonghuai Wang (Medical Image Anal., 2024)

A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection. - Honghe Li; Jinzhu Yang; Zhanfeng Xuan; Mingjun Qu; Yonghuai Wang; Chaolu Feng (Medical Image Anal., 2024)

DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography. - Lingzhi Tang; Xueqi Wang; Jinzhu Yang; Yonghuai Wang; Mingjun Qu; Honghe Li (Comput. Methods Programs Biomed., 2024)

ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram. - Yiqiu Qi; Guangyuan Li; Jinzhu Yang; Honghe Li; Qi Yu; Mingjun Qu; Hongxia Ning; Yonghuai Wang (Artif. Intell. Medicine, 2025)

Uncertainty Quantification and Quality Control for Heatmap-Based Landmark Detection Models. - Yong Feng; Jinzhu Yang; Lingzhi Tang; Song Sun; Yonghuai Wang (IEEE Trans. Medical Imaging, 2025)