Focused on the intelligent analysis of multimodal medical big data, I employ artificial intelligence/deep learning methods to conduct in-depth analysis of various medical data, including electrocardiogram (ECG) signals, ultrasound images, X-Ray images, and positron emission tomography (PET) images. My research areas encompass artificial intelligence, deep learning, analysis of multimodal medical data, and intelligent analysis of ultrasound imaging.

Projects include breast cancer diagnosis, ultrasound-guided brachial plexus block, fetal ultrasound-assisted examination system, echocardiography-assisted diagnosis system, lung nodule detection system, chemotherapy outcome prediction system, and respiratory rate prediction system.

Yu Wang, Yudong Yao and Binbin Zhu et al., "BPSegSys: A Brachial Plexus Nerve Trunk Segmentation System Using Deep Learning", Ultrasound in Medicine and Biology.

Yu Wang, Yao, Y. "Breast lesion detection using an anchor-free network from ultrasound images with segmentation-based enhancement". Scientific Reports 12, 14720 (2022).

Yu Wang, X. Ge, H. Ma, S. Qi, G. Zhang and Y. Yao, "Deep Learning in Medical Ultrasound Image Analysis: A Review," in IEEE Access, vol. 9, pp.5431054324,2021, doi:10.1109/ACCESS.2021.3071301.

Yu Wang and Y. Yao, "Application of Artificial Intelligence Methods in Carotid Artery Segmentation: A Review", in IEEE Access, vol. 11, pp. 13846-13858, 2023, doi: 10.1109/ACCESS.2023.3243162.

Yu Wang and Y. Yao, "A comparative study on fetal head circumference measurement from ultrasound images using deep learning models", Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence, 2022, 1341-1348.

Chen W, Wang Y, Tian D, et al. "CT Lung Nodule Segmentation: A Comparative Study of Data Preprocessing and Deep Learning Models" [J]. IEEE Access, 2023.

Tian D, Zhu B, Wang Y, et al. "Brachial plexus nerve trunk recognition from ultrasound images: A comparative study of deep learning models" [J]. IEEE Access, 2022, 10: 82003-82014.

Zhao Q, Liu F, Wang Y, et al. "Predicting Respiratory Rate from Electrocardiogram and Photoplethysmogram Using a Transformer-Based Model" [J]. Bioengineering, 2023, 10(9): 1024.