获奖情况
(1)2025 国家级青年人才
(2)2017 中国科协“青年人才托举”
(3)2025 首届“超声医学前沿应用及人工智能创新大赛”一等奖
(4)2026 北京市教学成果奖一等奖
(5)2024 北航教学成果一等奖
发明专利
(1)一种堆叠式超声换能器,ZL202011154563.8
(2)一种基于激光干涉的光纤阵列式声波信号采集装置,ZL201910857667.6
(3)一种基于光致超声和激光干涉的全光学超声探测装置,ZL202010787228.5
(4)一种双频超声换能器阵列及其工作方法,ZL202111344273.4
(5)一种基于宽带超声回波特征的乳腺肿瘤筛查方法和装置,ZL2022108713
代表性论文
[1] X. Zhang, S. Qi, Y. Yang, Y. Li, L. Xu and J. Ma*, "High-Quality Ultrafast Ultrasound Imaging With FPGA Implementation," IEEE Transactions on Instrumentation and Measurement, vol. 74, p. 4021110, 2025.
[2] Y. Cai, Y. Yang, C. Shi, L. Chen, L. Xu and J. Ma*, "Ultrasound Transducer Design based on Anti-Matching Layer Structure," IEEE Sensors Journal, vol. 25, no. 10, p. 16726-16735, 2025.
[3] Y. Cai, T. Zhang, L. Xu, J. Ma*, "Dual-orientation fusion of dual-frequency ultra-short ultrasound pulses for super-resolution imaging," IEEE Transactions on Instrumentation and Measurement, vol. 73, p. 3458049, 2024.
[4] Z. Xie#, Q. Sun#, J. Han, P. Sun, X. Hu, N. Ji, L. Xu, J. Ma*, "Spectral analysis enhanced net (SAE-Net) to classify breast lesions with BI-RADS category 4 or higher," Ultrasonics, vol. 143, p. 107406, 2024.
[5] Y. Cai, L. Xu, T. Zhang, D. Suo, and J. Ma*, "Ultrasound transducers with both imaging and power output capabilities by anti-matching at backing layers," Applied Physics Letters, vol. 124, no. 7, p. 072201, 2024.