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高飞
助理教授、研究员、博导
博士毕业院校： 新加坡南洋理工大学
电话： 021-20685379
办公室： 信息学院3-428
个人主页： www.hislab.cn
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    高飞，2009年获得西安交通大学微电子学士学位，并于2015年获得新加坡南洋理工大学电气与电子工程博士学位。在博士期间曾获中国国家优秀自费留学生奖学金（2014年），博士论文获2016年Springer Thesis Award，并入选2017年上海市（东方学者）特聘教授。于2017年1月全职加入上海科技大学信息学院担任研究员、博导，以独立且唯一PI身份成立混合成像系统实验室(HISLab, 网站：www.hislab.cn)。受光声成像之父Dr. Alexander Oraevsky邀请，担任光声领域旗舰期刊《Photoacoustics》 （IF:9.6，中科院一区）编委，且为现任编委中最年轻的一位。于2023年初受邀出任多本知名期刊《Medical Physics》，《IEEE Photonics Journal》和《Ultrasound in Medicine and Biology》副主编。曾担任IEEE JERM等多个期刊的客座编辑，并担任过IEEE EMBC等多个国际会议的分会主席，受邀为Science Advances，Nature Communications，Optica等40多个高水平学术期刊审稿。已发表150余篇期刊和会议论文（2017年成为独立PI后，绝大部分论文为倒一主要通讯作者）。 Google scholar引用2500多次（h-index=29, i10-index=59）。

    在学术研究方面，科研工作主要聚焦在生物医学光声成像领域，科研工作贯通物理-硬件-算法-应用多个维度，取得了一系列的科研成果，并推动其临床应用。包括：1）光声混合成像机理研究（提出非视距光声成像；被动光声效应；光声谐振效应；相位域光声传感；脉冲-连续混合非线性光声成像；TRPA-TRUE散射介质内光聚焦方法）；2）光声成像电路与系统（提出光源与超声传感器的微型化新方法；基于延迟线电路的数据采集系统；光声重建算法的硬件加速）；3）光声成像算法与人工智能（提出图像重建算法如Ki-GAN, AS-Net, Y-Net；定量光声算法如EDA-Net, DR2U-Net）；4）与医生深度合作，开展临床痛点需求驱动的转化研究（提出适用于腋下前哨淋巴结快速定位的光声探笔系统，并在山东省肿瘤医院开展临床试验）。科研成果多次被学校官网报道（新闻链接）。

    在成果转化方面：1）已服务于多家三甲医院和科研院所，提供光声成像测试报告和技术咨询，协助成功申请科研项目；2）开发的高通量智能数据采集系统完成小批量量产，装机于实验室自研的光声层析成像系统，并与相关医学影像设备企业达成意向订单。3）在多个医疗器械创业大赛中获奖，成果转化进展多次被学校技术转移办公室官方微信报道（新闻链接）。

    在科研人才培养方面，1）实验室已毕业2名博士生分别入选清华大学博士后人才引进计划（惠妍人才基金），和福建省引进生计划，并入职福建师范大学准聘副教授；博士毕业生进入学术界比例超过66%。2）已毕业硕士生中有8人获全额奖学金出国继续攻读博士学位；硕士毕业生选择继续读博深造比例超过60%。3）在本科生科研训练方面，已指导30余位本科生科研训练，参与发表高质量学术论文38人次。其中，本科生为第一作者的论文有9篇，包括Journal of Biophotonics、Optics Letters等期刊论文和IEEE IUS、EMBC、ISCAS等会议论文。在科教融合本科生培养方面的成果被学校官网报道《在课程学习中孕育创新的“种子”》


最新论文：

2023

  1. Daohuai Jiang†, Luyao Zhu†, Shangqing Tong†, Yuting Shen†, Feng Gao, Fei Gao*, “Review of photoacoustic imaging plus X”, Preprint: arXiv:2309.02638 (2023).

  2. Nan Zhao, Yongsheng Pan, Kaichong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi,  and Dinggang Shen“Modeling Life-span Brain Ages from Large-scale Dataset based on Multi-level Information Fusion”, International Workshop on Machine Learning in Medical Imaging (MLMI ), to appear (2023)

  3. Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Dinggang Shen, and Zhong Xue“Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network”, International Workshop on Machine Learning in Medical Imaging (MLMI ), to appear (2023)

  4. Shanshan Guo, Jiadong Zhang, Dongdong Gu, Fei Gao, Yiqiang Zhan, Zhong Xue and Dinggang Shen, “Contrastive Learning-based Breast Tumor Segmentation in DCE-MRI”, International Workshop on Machine Learning in Medical Imaging (MLMI ), to appear (2023). 

  5. Xinke Li, Peng Ge, Yuting Shen, Feng Gao, Fei Gao*, “Gradient-based adaptive wavelet de-noising method for photoacoustic imaging in vivo”, Preprint: arXiv:2307.13353 (2023)

  6. Shangqing Tong†, Peng Ge†, Yanan Jiao†, Zhaofu Ma, Ziye Li, Longhai Liu, Feng Gao, Xiaohui Du*, Fei Gao*, “Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy”, Preprint: arXiv:2307.08556 (2023)

  7. Jiadong Zhang, Kaichong Sun, Junwei Yang, Yan Hu, Yuning Gu, Zhiming Cui, Xiaopeng Zong, Fei Gao, and Dinggang Shen, “A Generalized Dual-Domain Generative Framework with Hierarchical-Consistency for Medical Image Reconstruction and Synthesis”, Communications Engineering, to appear (2023)

  8. Jiadong Zhang†; Zhiming Cui†; Zhenwei Shi; Yingjia Jiang; Zhiliang Zhang; Xiaoting Dai; Zhenlu Yang; Yuning Gu; Lei Zhou; Chu Han; Xiaomei Huang; Chenglu Ke; Suyun Li; Zeyan Xu; Fei Gao; Luping Zhou; Rongpin Wang; Jun Liu; Jiayin Zhang; Zhongxiang Ding; Kun Sun; Zhenhui Li; Zaiyi Liu; Dinggang Shen, “A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a novel spatial-temporal framework”, Patterns, to appear (2023)

  9. Yuting Shen†, Jiadong Zhang†, Daohuai Jiang, Zijian Gao, Yuwei Zheng, Feng Gao, and Fei Gao*, “S-Wave Accelerates Optimization-based Photoacoustic Image Reconstruction in vivo”, Ultrasound in Medicine and Biology, to appear (2023)

  10. Li Liu, Yongjian Zhao*, and Fei Gao*, “An Umbrella-Inspired Snap-On Robotic 3D Photoacoustic Endoscopic Probe for Augmented Intragastric Sensing”, Preprint: DOI:10.2139/ssrn.4358752 (2023)

  11. Shangqing Tong†, Hengrong Lan†, Liming Nie, Jianwen Luo*, and Fei Gao*, “Score-based Generative Models for Photoacoustic Image Reconstruction with Rotation Consistency Constraints”, Preprint: arXiv:2306.13843 (2023)

  12. Fan Zhang†, Jiadong Zhang†, Yuting Shen, Zijian Gao, Changchun Yang, Mingtao Liang, Feng Gao, Li Liu*, Hulin Zhao*, and  Fei Gao*, “Photoacoustic digital brain and deep-learning-assisted image reconstruction”, Photoacoustics, 31, 100517 (2023)

  13. Fan Zhang†, Jiadong Zhang†, Yuting Shen, Zijian Gao, Changchun Yang, Mingtao Liang, Feng Gao, Hulin Zhao*, and Fei Gao*, “Photoacoustic Digital Brain and its Image Reconstruction” IEEE International Ultrasonics Symposium (IUS ), 2023 (oral) (Preprint: arXiv:2109.09127 )

  14. Yiyun Wang, Daohuai Jiang, Hengrong Lan, Tingyang Duan, Feng Gao, and Fei Gao*, “Photoacoustic-Guided Laser Therapy: a Feasibility Study” IEEE International Ultrasonics Symposium (IUS ), 2023 (oral) (Preprint: arXiv:2105.12288 )

  15. Ziye Li, Peng Ge, Shangqing Tong, Yiyun Wang, Feng Gao, and Fei Gao*, “Frequency-Selected Adaptive Matched Filter De-Noising for Photoacoustic Imaging” IEEE International Ultrasonics Symposium (IUS ), 2023 (oral)

  16. Luyao Zhu†, Kaiyuan Xu†, Yun Zou†, Yiyun Wang, Yifei Zhao, Hanru Ying, Hui Chen, Biao Wang, Feng Gao, Xiaoxi Lin*, and Fei Gao*, “Dual-Angle Photoacoustic Depth Sensing of Congenital melanocytic Nevi” IEEE International Ultrasonics Symposium (IUS ), 2023

  17. Biao Wang†, Luyao Zhu†, Yiyun Wang, Lili Ma, Wen Zhang, Feng Gao, Ningping Zhang*, and Fei Gao*, “Photoacoustic Venous Blood Pressure sensing: a Feasibility Study” IEEE International Ultrasonics Symposium (IUS ), 2023

  18. Junxiang Cai†, Xiyu Chen†, Feng Gao, Tao Wu*, and Fei Gao*, “A Low-Cost High-Sensitivity Endoscopic Probe for Real-Time Photoacoustic Imaging” IEEE International Ultrasonics Symposium (IUS ), 2023

  19. Biao Wang†, Xiyu Chen†, Xinxian Meng†, Daohuai Jiang, Feng Gao, Yixin Zhang*, and Fei Gao*, “Arc-Shape light-Rotatable Photoacoustic Probe for Peripheral Vessel Imaging” IEEE International Ultrasonics Symposium (IUS ), 2023

  20. Yiyun Wang, Chengxiao Liu, Yujie Wang, Niansong Ye, Xinke Li, Feng Gao, Lunguo Xia, Bing Fang*, and Fei Gao*, “Ultrasound Localization of Tissues Inside Alveolar Bone Ex Vivo” IEEE International Ultrasonics Symposium (IUS ), 2023

  21. Yuting Shen, Yiyun Wang, Chengxiao Liu, Niansong Ye, Feng Gao, Lunguo Xia, Bing Fang*, and Fei Gao*, “Photoacoustic Digital Tooth and Image Reconstruction of Tooth Root” IEEE International Ultrasonics Symposium (IUS ), 2023 (Preprint: arXiv:2304.05607 )

  22. Yuwei Zheng, Zijian Gao, Yuting Shen, Jiadong Zhang, Daohuai Jiang, Fengyu Liu, Feng Gao*, and Fei Gao*, “Hardware Acceleration of s-Wave Based PA Image Reconstruction” IEEE International Ultrasonics Symposium (IUS ), 2023 

  23. Bowei Yao, Xiyu Chen, Gaofei Jin, Fei Gao*, and Xiran Cai*, “Light-rotating ring-shape photoacoustic tomography system” IEEE International Ultrasonics Symposium (IUS ), 2023

  24. Mengjie Guo, Risa Higashita*, Chen Lin, Lingxi Hu, Wan Chen, Fei Li, Gilda Wing Ki Lai, Anwell Nguyen, Rei Sakata, Keiichiro Okamoto, Bo Tang, Yanwu Xu*, Huazhu Fu*, Fei Gao*, Makoto Aihara, Xiulan Zhang, Jin Yuan*, Shan Lin, Christopher Kai-shun Leung, and Jiang Liu*, “Crystalline lens nuclear age prediction as a new biomarker of nucleus degeneration”, British Journal of Ophthalmology, to appear (2023)

  25. Jiadong Zhang, Zhiming Cui, Caiwen Jiang, Shanshan Guo, Fei Gao*, and Dinggang Shen*, “Hierarchical Organ-aware Total-Body Standard-dose PET Reconstruction from Low-dose PET and CT Images”, IEEE Transactions on Neural Networks and Learning Systems, to appear (2023)

  26. Junxiang Cai†, Yiyun Wang†, Daohuai Jiang, Yuandong Gu, Liang Lou*, Fei Gao* and Tao Wu*, “Photoacoustic Imaging Based on Broadened Bandwidth Aluminum Nitride Piezoelectric Micromachined Ultrasound Transducers” IEEE Sensors Letters, 7(4), 2500604 (2023) (Preprint: arXiv:2203.16806 )

  27. Zijian Gao, Yuting Shen, Daohuai Jiang, Yuwei Zheng, Fengyu Liu, Feng Gao*, and Fei Gao*, “Implementation and Comparison of Three Image Reconstruction Algorithms in FPGA towards Palm-size Photoacoustic Tomography”, IEEE Sensors Journal, 23(8), 8605 - 8612 (2023) (Preprint: arXiv:2204.14084 )

  28. Yuting Shen, Xiaohua Feng*, and Fei Gao*, “Non-line-of-sight photoacoustic imaging”, Preprint: arXiv:2302.10193 (2023)

  29. Siyu Liu, Xiaohua Feng, Daohuai Jiang, Fei Gao, Yongjian Zhao, Li Liu, “Virtual wave based phasor field projection for photoacoustic imaging”, Applied Physics Letters, 122, 093701 (2023)

  30. Tianqu Hu†, Zihao Huang†, Peng Ge, Feng Gao and Fei Gao*, “Adaptive De-noising of Photoacoustic Signal and Image based on Modified Kalman Filter”, Journal of Biophotonics, 16(5), e202200362 (2023) (Preprint: arXiv:2211.10262)

  31. Gaofei Jin, Hui Zhu, Daohuai Jiang, Jinwei Li, Lili Su, Jianfeng Li, Fei Gao*, and Xiran Cai*,“A Signal Domain Object Segmentation Method for Ultrasound and Photoacoustic Computed Tomography”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control , 70(3), 253 - 265 (2023).

  32. Hengrong Lan†, Changchun Yang†, and  Fei Gao*, “A Jointed Feature Fusion Framework for Photoacoustic image  Reconstruction”, Photoacoustics, 29, 100442 (2023). (Preprint: arXiv:2012.02472)

  33. Jingchao Luo†, Huan Wang†, Shangqing Tong†, Jiadong Zhang, et al. , Fei Gao*, Guowei Tu*, and Zhe Luo*, “Interpreting Infrared thermography with deep learning to assess the mortality risk of critically ill patients at risk of hypoperfusion”, Reviews in Cardiovascular Medicine, 24(1), 7 (2023)

  34. Shanshan Guo, Jiadong Zhang, Dongdong Gu, Yiqiang Zhan, Fei Gao*, Zhong Xue*, “High sensitivity breast tumor segmentation from DCE-MRI by contrastive feature learning”, European Congress of Radiology, (2023)