Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography. - Sibo Qiao; Shanchen Pang; Gang Luo; Silin Pan; Xun Wang 010; Min Wang 026; Xue Zhai; Taotao Chen (CoRR, 2020)

RLDS: An explainable residual learning diagnosis system for fetal congenital heart disease. - Sibo Qiao; Shanchen Pang; Gang Luo; Silin Pan; Zengchen Yu; Taotao Chen; Zhihan Lv (Future Gener. Comput. Syst., 2022)

FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-Chamber Views. - Sibo Qiao; Shanchen Pang; Gang Luo; Silin Pan; Taotao Chen; Zhihan Lv (IEEE J. Biomed. Health Informatics, 2022)

A Pseudo-Siamese Feature Fusion Generative Adversarial Network for Synthesizing High-Quality Fetal Four-Chamber Views. - Sibo Qiao; Silin Pan; Gang Luo; Shanchen Pang; Taotao Chen; Amit Kumar Singh 001; Zhihan Lv (IEEE J. Biomed. Health Informatics, 2023)

A progressive growing generative adversarial network composed of enhanced style-consistent modulation for fetal ultrasound four-chamber view editing synthesis. - Sibo Qiao; Shanchen Pang; Gang Luo; Pengfei Xie; Wenjing Yin; Silin Pan; Zhihan Lyu (Eng. Appl. Artif. Intell., 2024)

SPReCHD: Four-Chamber Semantic Parsing Network for Recognizing Fetal Congenital Heart Disease in Medical Metaverse. - Sibo Qiao; Shanchen Pang; Yi Sun; Gang Luo; Wenjing Yin; Yawu Zhao; Silin Pan; Zhihan Lv (IEEE J. Biomed. Health Informatics, 2024)