个人简历：
钱学骏博士任生物医学工程学院常任轨助理教授（Tenure-track Assistant Professor）、研究员、博士生导师，独立课题组组长（Principal Investigator, PI），智能多模态医学超声实验室（Intelligence Motivated Multimodal Ultrasound (IMMU) Lab）负责人。
钱学骏博士于2019年在美国南加州大学（University of Southern California）获得生物医学工程博士学位，后获得 AMI Research Fellowship 进入南加州大学Keck医学院从事博士后研究，期间与美国两院院士、人造视网膜之父 Mark Humayun 教授紧密合作探索医学超声在眼科的应用。
钱学骏博士主要致力于医学超声精准智能化诊疗的相关研究，至今已在国际权威期刊发表高水平研究论文30余篇，其中第一作者或通讯作者论文20篇，包含 Nature Biomedical Engineering、IEEE Transactions on Medical Imaging、IEEE Transactions on Biomedical Engineering 等，得到了国内外同行的高度认可。系列研究成果被 Nature Biomedical Engineering、Science Translational Medicine、Cancer Cell、Nature Communications 等顶级期刊多次引用，受到美国科学促进会（AAAS）、Physics World、Applied Physics Letter News、The Science Advisory Board 等国际科学媒体的评论报道。
研究领域：
高分辨率超声成像系统
多模态融合医学影像算法
高时空超声神经调控技术
机器学习与人工智能
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：
(* 通讯作者corresponding author)
多模态影像融合人工智能技术 (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)
高分辨率弹性成像(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).
超分辨率微血管显微成像(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).
超声神经调控方法(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：
智能多模态医学超声实验室（Intelligent Multimodal Fusion Medical Ultrasound Lab）通过结合超声的波动、力学效应以及机器学习和人工智能领域的最新理论和技术，利用工程信息学手段设计与开发新型“微尺度”“多功能”“智能化”医学超声，提升其对早期小尺度复杂结构病灶的精准诊疗能力，并将研究成果拓展到临床等工程应用中。
实验室主要研究方向包括：
超快速高分辨率超声成像技术
超声神经调控技术开发
多模态医学影像融合方法
人工智能在医学影像中的应用
