个人简历：
Dr. Xuejun Qian is a tenure-track assistant professor, researcher, doctoral supervisor, Principal Investigator (PI) of the school of Biomedical Engineering, the director of Intelligent Multimodal Fusion Medical Ultrasound Laboratory (iMFMU Lab).
Dr. Xuejun Qian received his Ph.D. in Biomedical Engineering from the University of Southern California in 2019, and then obtained the AMI Research Fellowship to enter Keck School of Medicine of the University of Southern California for his postdoctoral research. During this period, he worked with Prof. Mark Humayun (the pioneer of Bionic Eyes) to explore the application of medical ultrasound in ophthalmology.
Dr. Xuejun Qian is mainly committed to the research on medical ultrasound and intelligent diagnosis and treatment. So far, he has published more than 30 high-level research journal papers, including 20 papers as the first author or corresponding author, including Nature Biomedical Engineering, IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering, etc., which have been highly recognized by international counterparts. These papers have been cited many times by top journals such as Nature Biomedical Engineering, Science Translational Medicine, Cancer Cell, and Nature Communications, and have been recognized by international scientific media such as the American Association for the Advancement of Science (AAAS), Physics World, Applied Physics Letter News, The Science Advisory Board, etc.研究领域：
High resolution ultrasound imaging system
Multimodal fusion medical imaging algorithms
High spatial-temporal resolution ultrasound neuromodulation technique
Machine learning and artificial intelligence
教学与课程：
学术任职：
Editorial Board
Guest Editor of Computational and Mathematical Methods in Medicine
Guest Editor of Bioengineering
Invited Reviewer
The Lancet Digital Health, Nature Communications, IEEE Transactions on Image Processing (TIP), Theranostics, IEEE Transactions on Biomedical Engineering (TBME), IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (T-UFFC), et al.代表性论文：
(* corresponding author)
Multimodal medical imaging fusion artificial intelligence
X. Qian*, J. Pei, H. Zheng, X. Xie, L. Yan, H. Zhang, ... & K. Kirk Shung. “Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.” Nature Biomedical Engineering, 5, no.6, 522-532. (2021)
X. Qian, B. Zhang, S. Liu, Y. Wang, X. Chen, J. Liu, ... & Z. Chen*. “A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.” European Radiology, 30, no.5, 3023-3033. (2020)
High resolution elastography imaging
X. Qian, R. Li, G. Lu, L. Jiang, H. Kang, K. Kirk Shung, ... & Q. Zhou*. “Ultrasonic elastography to assess biomechanical properties of the optic nerve head and peripapillary sclera of the eye.” Ultrasonics, 110, 106263. (2021)
X. Qian, R. Li, Y. Li, G. Lu, Y. He, Mark S. Humayun, ... &, Q. Zhou*. “In vivo evaluation of posterior eye elasticity using shaker-based optical coherence elastography.” Experimental Biology and Medicine, 245, no.4, 282-288. (2020)
X. Qian, T. Ma, C-C. Shih, M. Heur, J. Zhang, K. Kirk Shung, ... &, Q. Zhou*. “Ultrasonic microelastography to assess biomechanical properties of the cornea.” IEEE Transactions on Biomedical Engineering, 66, no.3, 647-655. (2018)
X. Qian, T. Ma, M. Yu, X. Chen, K. Kirk Shung, Q. Zhou*. “Multi-functional ultrasonic micro-elastography imaging system.” Scientific reports, vol. 7, no. 1. (2017).
Super-resolution microvasculature imaging
X. Qian*, C. Huang, R. Li, B. Song, H. Tchelepi, K. Kirk Shung, ... &, Q. Zhou*. “Super-resolution ultrasound localization microscopy for visualization of the ocular blood flow.” IEEE Transactions on Biomedical Engineering, 69, no.5, 1585-1594. (2021).
X. Qian*, H. Kang, R. Li, G. Lu, Z. Du, K. Kirk Shung, ... &, Q. Zhou*. “In vivo visualization of eye vasculature using super-resolution ultrasound microvessel imaging.” IEEE Transactions on Biomedical Engineering, 67, no.10, 2870-2880. (2020).
Ultrasound neuromodulation technique
X. Qian, G. Lu, B. Thomas, R. Li, X. Chen, K. Kirk Shung, ... & Q. Zhou*. “Noninvasive Ultrasound Retinal Stimulation for Vision Restoration at High Spatiotemporal Resolution.” BME Frontiers 9829316. (2022).
论文链接：
https://scholar.google.com/citations?hl=en&user=puRYJ60AAAAJ
实验室介绍：
Intelligent Multimodal Fusion Medical Ultrasound Lab (iMFMU Lab) takes advantage of engineering informatics to design and develop new microscale multifunctional and intelligent medical ultrasound in order to improve its ability to accurately diagnose and treat complex structural lesions, and finally expands research results to clinical and other engineering applications.
The main research topics include：
Ultrafast high resolution ultrasound imaging methods
Ultrasound neuromodulation technique
Multimodal medical imaging fusion approach
Artificial intelligence in healthcare
