Short Biography
Xiaolei Qu received the B.E. degree in software engineering from Xi’an Jiaotong University, Xi’an, China in 2007, the M.S. degree in pattern recognition from Huazhong University of Science and Technology, Wuhan, China in 2009 and the Ph.D. degree in bioengineering from the University of Tokyo, Japan, in 2012. From 2012 to 2014, he was a senior engineer with the Techwin Research Center (Samsung Group), Fukuoka, Japan. From 2014 to 2017, he was a project researcher with the University of Tokyo. Since 2017, he has been an associate professor with the School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China. He is the author of more than 20 articles and holds four patents. His research interests include medical ultrasound imaging, image processing and recognition
Research Area
(1) Image Analysis
(2) Medical Ultrasound Imaging
Courses
(3) Signal Analysis and Processing
(1) Sensor Technology and Applications
Papers & Books
(1)Wenhan Wang, Jiande Wang, Cheng Zhang, Muzi Li, Zhiling Luo, Weiwei Xing, Shangchun Fan, Xiaolei Qu*, Hong Meng*. A Multi-Stage Deep Learning Network for Prenatal Diagnosis of Coarctation of the Aorta. Medical Physics, 2025.
(2)Xiaolei Qu, Jiale Zhou, Jue Jiang, Wenhan Wang, Haoran Wang, Shuai Wang, Wenzhong Tang, Xun Lin*, EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images, Information Fusion, Volume 109, 102430, 2024
(3)Fangyuan Zheng, Shangchun Fan, Yihang Wei, Zihao Wang, Xiaorui Wei, Wonbayar Borjigin, Jue Jiang, Xiaolei Qu*, “Ultrasound channel attetion residual network for medical plane wave echo data-based average sound speed estimation”, Measurement, 231(31), 2024.
(4)Zhengfeng Lan, Chao Rong, Changshan Han, Xiaolei Qu*, Jingsong Li*, Hongxiang Lin*, Coherence-based phase aberration correction and beamforming for ring-array ultrasound imaging, Mechanical Systems and Signal Processing, Volume 220, Issue 1, 2024
(5)Jiale Zhou, Zuoxun Hou, Hongyan Lu, Wenhan Wang, Wanchen Zhao, Zenan Wang, Dezhi Zheng, Shuai Wang, Wenzhong Tang, Xiaolei Qu*, “A deep supervised transformer U-shaped full resoultion residual network for the segmentation of breast ultrasound image”, Medical Physics, Volume 50, Issue 12, 2023
