人才队伍
教学科研系列

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基本信息

邮箱: tma@hit.edu.cn

个人简介

教授、博士生导师。

 长期从事医工交叉研究，以神经信息计算、神经/精神疾病标志物研究为主线，包括：医学图像计算、类脑智能、神经调控、医疗通用AI模型等，在重大脑疾病早期影像标志物发现与提取技术方面取得了突破性成果，被Nature Reviews Neurology特别评论为“重要神经退行疾病早期标志物”。在Lancet ID、ADJ、Chem、TMI、MIA、Neural Networks等高水平期刊/会议发表论文150余篇（ESI高被引2篇，单篇最高引用2000+）。曾获腾讯AI国际大赛脑龄赛道冠军，Wiley中国开放科学高贡献作者奖，获得多项国家和省部级基础研究项目。获深圳市基础研究杰青、地方领军人才等，两次获深圳市“优秀教师”，多次获得哈工大及深圳校区教学成果奖。担任Science旗下Health Data Science杂志编委，任IEEE生物医学工程学会深圳分会副主席、深圳市医学数字影像技术和远程医疗重点实验室副主任、中国PD影像联盟发起人、广东省健康管理学会脑血管病防治和健康促进委员会副主任委员、生物医学工程学会医学影像技术分会青年委员、广东省医学会人工智能分会常委、广东省预防医学会人工智能专委会副主任委员、深圳市医院协会人工智能分会副主任委员、深圳市计算机协会人工智能分会常委等。

   已转化发明专利3项，其中一项已获批医疗器械认证。与国家老年疾病临床研究中心合作，创建一键式神经影像智能分析与辅助决策云，连续支持十三五、十四五国家重点研发专项的研究，研发落地一系列神经影像标志物智能检测产品，服务超过400家联盟医院，为数字化/智能化神经专科落地进行了开拓性实践。

   兼任鹏城实验室智能部云计算所PI，搭建医疗AI技术生态，包括：通用/专用大模型协同演化策略研究、跨尺度医疗数据建模、专科场景AI赋能应用等。与国内头部AI企业共同开发跨模态、跨尺度的医疗深度学习模型训练中台，开展跨模态、多语义数据的深度垂直专科领域大模型，为建设自主可控的医疗AI技术生态进行开拓性实践。


个人主页：https://nit-hit.github.io/


 
招生招聘

每年招收硕士生4-6名（包括联合培养），博士生1-3名（包括工程博士联合培养），欢迎对医疗AI基础模型、神经信息学、医学图像计算、神经调控感兴趣的同学报考，常年招收博士后，待遇优厚，具体详情请联系：tma@hit.edu.cn。

工作经历

教授 哈尔滨工业大学（深圳） 电子与信息工程学院

研究员（双聘） 鹏城实验室 智能部

访问教授 约翰霍普金斯大学 医学院神经影像中心

学习经历

博士（PhD）     香港中文大学·电子工程系·生物医学工程

工程学硕士          哈尔滨工业大学

工程/文学学士          哈尔滨工业大学（双学位）

研究方向

1、神经信息计算 Neuroinformatics computing

2、医学图像计算 Medical image computing

3、脑机接口 Brain-computer interface

4、类脑深度学习 Brain-like deep learning

5、医疗垂域基础模型 Foundation model in medicine

6、神经调控 Neuromodulation

7、医学转化研究，包括：认知障碍、运动障碍、脑血管疾病、情绪障碍、脑发育谱系疾病等。

科研项目

1. 国家自然科学基金（青年），主持，已结题

2. 深圳市基础研究杰青项目，主持，已结题

3. 深圳市高层次人才创新项目，主持，已结题

4. 哈工大重点创新项目培育计划，主持，已结题

5. 深圳市科技计划基础研究项目（面上），主持，已结题

6. 深圳市科技计划基础研究项目（学科布局），主持，已结题

7. 深圳市科技计划基础研究项目（学科布局），第一参与，已结题

8. 科技部国家重点研发专项课题（2018YFC1312004），主持，已结题

9. 广东省新冠肺炎疫情防控科研专项，主持，已结题

10. 深圳市高等院校稳定支持计划，主持，已结题

11. 深圳市科技计划重点技术攻关（揭榜挂帅），第一参与，已结题

12、国家自然科学基金（面上），主持，在研

学术兼职

1、IEEE生物医学工程学会深圳分会副主席

2、深圳市医学数字影像技术和远程医疗重点实验室副主任

3、互联网医疗诊治国家工程实验室技术委员会委员

4、中国医院协会健康医疗大数据应用管理专委会常委

5、中国PD影像联盟发起人

6、广东省医学会人工智能专委会常委

7、广东省预防医学会人工智能专委会副主任委员

8、广东省健康管理学会脑血管病防治和健康促进委员会副主任委员

教学课程

硕士课程《生物医学信号》

本科课程《生物医学电子》

著作

    1. T. Ma, Y. Zhang, and Y.T. Zhang, “Biometrics” in Encyclopedia of Biomedical Engineering, Wiley Press, 2006

    2. T. Ma, Y.Y. Gu, and Y.T. Zhang, “Circuit Models for Neural Information Processing” in Neural Engineering, Kluwer Academic/Plenum Publishers, 2005.    

    3. 叶亮，马婷，“多模交互模式识别与应用”，哈尔滨工业大学出版社，2017.6 (译著)

    4. 马婷，叶辰飞，“人智交互” 之 “以患者为中心的智慧医疗”，清华大学出版社，2024.10

代表期刊论文(近五年)

  1. Xutao Guo+, Mengqi Wang+, Yang Xiang, Yanwu Yang, Chenfei Ye, Haijun Wang, and Ting Ma*, Uncertainty Driven Adaptive Self-Knowledge Distillation for Medical Image Segmentation, IEEE Transactions on Emerging Topics in Computational Intelligence, in press.

  2. Yanwu Yang, Guoqing Cai, Chenfei Ye, Kunru Song, Jintao Zhang, Yang Xiang, Ting Ma*, Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-modal Brain Networks, IEEE J Biomed Health Inform, 2024 Nov 1:PP. doi: 10.1109/JBHI.2024.3490664. Online ahead of print.

  3. Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, …, Pengcheng Shi, Ting Ma, …, Alan Yuille, Zongwei Zhou, Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?, NeurlPS 2024, 2024 Sep , DOI: 10.48550/arXiv.2411.03670.

  4. Pan Sun, Zhengbo He, Anqi Li, Jie Yang, Yalin Zhu, Yue Cai, Ting Ma, Shaohua Ma, Tengfei Guo*, Spatial and Temporal Patterns of Cortical Mean Diffusivity in Alzheimer's Disease and Suspected Non-Alzheimer's Disease Pathophysiology, Alzheimer’s & Dementia, 2024 Oct; 20(10):7048-7061. doi: 10.1002/alz.14176. Epub 2024 Aug 12.

  5. Xutao Guo+, Yang Xiang+, Yanwu Yang, Chenfei Ye, Yue Yu, and Ting Ma*, Accelerating Denoising Diffusion Probabilistic Model via Truncated Inverse Processes for Medical Image Segmentation, Computers in Biology and Medicine, 2024 Sep:180:108933. doi: 10.1016/j.compbiomed.2024.108933. Epub 2024 Aug 2.

  6. Yanwu Yang+, Chenfei Ye+, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu*, Ting Ma*, BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning, IEEE Trans Med Imaging, 2024 Nov;43(11):4004-4016. doi: 10.1109/TMI.2024.3414476. Epub 2024 Nov 4.

  7. Chenfei Ye+, Yixuan Zhang+, Chen Ran, Ting Ma*, Recent progress in brain network models for medical applications: a review, Health Data Science, 4:0157, 2024 Jul 8. doi: 10.34133/hds.0157. eCollection 2024.

  8. Na Gao, Hantao Chen, Xutao Guo, Xingyu Hao, Ting Ma*, Geodesic Shape Regression based Deep Learning Segmentation for Assessing Longitudinal Hippocampal Atrophy in Dementia Progression, NeuroImage: Clinical, NeuroImage: Clinical, 43: 103623, Epub 2024 May 26. doi: 10.1016/j.nicl.2024.103623.

  9. Jiesi Hu, Yanwu Yang, Xutao Guo, Jinghua Wang*, and Ting Ma*, A Chebyshev confidence guided source-free domain adaptation framework for medical image segmentation, IEEE J Biomed Health Inform, 2024 Sep;28(9):5473-5486. doi: 10.1109/JBHI.2024.3406906. Epub 2024 Sep 5.

  10. Yun Lu, Yunxu Sun, Zhousheng Shen, Xiaochuan Xu, Ting Ma, Chang Peng, Fenfang Li, Chengqing Ning, Jiawei Wang, Shutian Liu, Zhengjun Liu, Lingji Xu, and Wei Liu, Thermal-tagging photoacoustic remote sensing flowmetry, Optics Letters, 49(7): 1725-1728, doi.org/10.1364/OL.521564, Mar 2024.

  11. Guoqing Cai, Fenghui Zhang, Bolun Yang, Shoulin Huang, Ting Ma*, Manifold Learning-based Common Spatial Pattern for EEG Signal Classification, IEEE J Biomed Health Inform, Epub 2024 Jan 24:PP. doi: 10.1109/JBHI.2024.3357995.

  12. Jie Guo, Ting Ma*, Dongdong Weng*, Synchronous Mixed Reality (SMR): A Personalized Virtual-Real Fusion Framework with High Immersion and Effective Interaction, Journal of the Society for Information Display, 31: 621-637, doi: 10.1002/jsid.1259. July 2023.

  13. Na Gao, Zhiyuan Liu, Yuesheng Deng, Hantao Chen, Chenfei Ye, Qi Yang, Ting Ma*, MR-based spatiotemporal anisptropic atrophy evaluation of hippocampus in AD progression by multiscale skeletal representation, Human Brain Mapping, 2023 Oct 15;44(15):5180-5197. doi: 10.1002/hbm.26460. Epub 2023 Aug 22.

  14. Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, Ting Ma*, CReg-KD: Model Refinement via Confidence Regularized Knowledge Distillation for Brain Imaging, Medical Image Analysis, 2023 Oct:89:102916. doi: 10.1016/j.media.2023.102916. Epub 2023 Jul 26.

  15. Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Xiang Yang*, Ting Ma*, Mapping Multi-modal Brain Connectome for Brain Disorder Diagnosis via Cross-modal Mutual Learning," IEEE Trans. on Medical Imaging, 2024 Jan;43(1):108-121. doi: 10.1109/TMI.2023.3294967. Epub 2024 Jan 2.

  16. Li Liang, Pengzheng Zhou, Chenfei Ye, Qi Yang and Ting Ma*, “Spatial-temporal Patterns of Brain Disconnectome in Alzheimer’s Disease,” Human brain mapping, 2023 Aug 1, 44(11):4272-4286. doi: 10.1002/hbm.26344. Epub 2023 May 25.

  17. Yanwu Yang+, Chenfei Ye+, Ting Ma*, “A deep connectome learning network using graph convolution for connectome-disease association study,” Neural Networks, 2023 Jul，164:91-104. doi: 10.1016/j.neunet.2023.04.025. Epub 2023 Apr 22

  18. Chen Ran+, Yanwu Yang+, Chenfei Ye, Haiyan Lv, Ting Ma*, “Brain age vector: a measure of brain aging with enhanced neurodegenerative disorder specificity”, Human brain mapping, 2022 Nov; 43(16):5017-5031. doi: 10.1002/hbm.26066. Epub 2022 Sep 12.

  19. Xutao Guo+, Chenfei Ye+, Yanwu Yang, Li Zhang, Li Liang, Shang Lu, Haiyan Lv, Chunjie Guo*, Ting Ma*. “Ensemble Learning Via Supervision Augmentation For White Matter Hyperintensity Segmentation”, Frontiers in Neuroscience, 2022 Sep 15;16:946343. doi: 10.3389/fnins.2022.946343. eCollection 2022.

  20. Chong Wei+, Yanwu Yang+, Xutao guo, Chenfei Ye, Haiyan Lv, Yang Xiang, Ting Ma*, “MRF-Net: A Multi-branch Residual Fusion Network for Fast and Accurate Whole-Brain MRI Segmentation”, Frontiers in Neuroscience, 2022 Sep 12;16:940381. doi: 10.3389/fnins.2022.940381. eCollection 2022.

  21. Yiwei Pan+, Shuying Liu+, Yao Zeng, Chenfei Ye, Hongwen Qiao, Tianbing Song, Haiyan Lv, Piu Chan, Jie Lu*, and Ting Ma*, A multi-atlas-based [18F]-FP-DTBZ PET image segmentation method for Parkinson’s disease quantification, Frontiers in Aging Neuroscience. 2022;14:902169. doi:10.3389/fnagi.2022.902169.

  22. Chenfei Ye+, Jing Huang+, Li Liang, Zehong Yan, Zhigang Qi, Xiong Kang, Zheng Liu, Huiqing Dong, Haiyan Lv, Ting Ma*, Jie Lu*. Coupling of brain activity and structural network in multiple sclerosis: a graph frequency analysis study. Journal of Neuroscience Research, 2022 May;100(5):1226-1238. doi: 10.1002/jnr.25028. Epub 2022 Feb 20.

  23. Yanwu Yang+, Chenfei Ye+, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma*, Tao Wu*, “Alteration of brain structural connectivity in progression of Parkinson's disease: a connectome-wide network analysis”, Neuroimage Clin, 31 (2021):102715, 2213-1582.

  24. Shoulin Huang, Guoqing Cai, Tong Wang, and Ting Ma*, “Amplitude-Phase Information Measurement on Riemannian Manifold for Motor Imagery-based BCI”, IEEE Signal Processing Letters, 28 (2021): 1310-1314, 1070-9908.

  25. Li Liang, Pengzheng Zhou, Wanxin Lu, Xutao Guo, Chenfei Ye, Haiyan Lv, Ting Ma*, "An anatomical knowledge-based mri deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment," Computerized Medical Imaging and Graphics, 89 (2021): 101873, 0895-6111.

  26. Hongyang Zhang+, Chengcheng Hong+, Qulu Zheng+, Pengzheng Zhou, Yuliang Zhu, Zhongkai Zhang, Qifang Bi*, Ting Ma*. A multi-family cluster of COVID-19 associated with asymptomatic and pre-symptomatic transmission in Jixi City, Heilongjiang, China, Emerging microbes & infections, 2020 Dec, 9(1): 2509–2514. Doi: 10.1080/22221751.2020.1837015.

  27. Yang Chen, Chengcheng Hong, Michael R Pinsky, Ting Ma*, Gilles Clermont*, Estimating Surgical Blood Loss Volume using Continuous Monitored Vital Signs [J]. Sensors, 2020 Nov 17, 20(22):6558. doi: 10.3390/s20226558.

  28. Shoulin Huang, Yang Chen, Tong Wang, and Ting Ma*, Spectrum-weighted Tensor Discriminant Analysis for Motor Imagery-based BCI, IEEE Access, 2020 May 18, vol. 8: 93749-93759, DOI: 10.1109/ACCESS.2020.2995302.

  29. Qifang Bi+, Yongsheng Wu+, Shujiang Mei+, Chenfei Ye+, Xuan Zou, Zhen Zhang, Xiaojian Liu, Lan Wei, Shaun A Truelove, Tong Zhang, Wei Gao, Cong Cheng, Xiujuan Tang, Xiaoliang Wu, Yu Wu, Binbin Sun, Suli Huang, Yu Sun, Juncen Zhang, Ting Ma*, Justin Lessler*, Tiejian Feng*, Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study, Lancet Infect Dis, 2020 Apr 27. pii: S1473-3099(20)30287-5. doi: 10.1016/S1473-3099(20)30287-5.

  30. Junyan Sun+, Zhaoyu Lai+, Jinghong Ma, Linlin Gao, Meijie Chen, Jie Chen, Jiliang Fang, Yangyang Fan, Yan Bao, Piu Chan, Qi Yang, MD, Chenfei Ye, Tao Wu*, Ting Ma*, Quantitative Evaluation of Iron Content  in Idiopathic Rapid Eye Movement Sleep Behavior Disorder, Movement Disorders, 2020 Mar, 35(3): 478-485. doi: 10.1002/mds.27929.


中文期刊论文

1.   马婷，陈清财*，基于开放医疗大数据的人工智能研究，医学与哲学，Jan 2022，43(1):1-4. （封面文章，技术核心期刊）

2.   马婷*，张海洪，医疗人工智能的“图灵测试”：路在何方，医学与哲学，2020，41（20）：8-13. （技术核心期刊）


 

近三年会议论文   

  1. Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma*, Advancing brain imaging analysis step-by-step via progressive self-paced learning, 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, 6-10 Oct 2024.

  2. Pengcheng Shi, Jiesi Hu, Yanwu Yang, Zilve Gao, Wei Liu, Ting Ma*, Centerline boundary dice loss for vascular segmentation, 27th International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, 6-10 Oct 2024.

  3. Jiesi Hu, Yang Shang, Yanwu Yang, Xutao Guo, Hanyang Peng, Ting Ma*. Synergizing In-context Learning Model and SAM in Medical Image Segmentation. Medical Imaging with Deep Learning (MIDL), Paris, French, July 2024.

  4. Xutao Guo, Yanwu Yang, Chenfei Ye, Guoqing Cai, Ting Ma*. CALSeg: Improving Calibration of Medical Image Segmentation Via Variational Label Smoothing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1601-1605, Seoul, Korea, April 2024.

  5. Yanwu Yang, Xutao Guo, Guoqing Cai, Chenfei Ye, Ting Ma*. Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4045-4049, Seoul, Korea, April 2024.

  6. Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye*, Ting Ma*. Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision. Medical Imaging with Deep Learning (MIDL) 2023, Proceedings of Machine Learning Research, Nashville, America, July 2023.

  7. Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang*, Ting Ma*. “Tensor-Based Complex-Valued Graph Neural Network For Dynamic Coupling Multimodal Brain Networks” 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece, May 2023.

  8. Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang*, Ting Ma*. Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation. IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.

  9. Xutao Guo, Pengcheng Shi, Shang Lu, Chenfei Ye, Ting Ma*. "Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation." IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.

  10. Jiesi Hu, Yanwu Yang, Xutao Guo, Bo Peng, Hua Huang, Ting Ma*. "DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features" IEEE 18th International Symposium on Biomedical Imaging (ISBI). Cartagena de Indias, Colombia, April 2023.

  11. Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang*, Ting Ma*. "Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification." IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, USA, and Changsha, Hunan, China, December 2022.

  12. Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma*. " Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation." IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, USA, and Changsha, Hunan, China, December 2022.

  13. Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, Ting Ma*. "Regularizing brain age prediction via gated knowledge distillation." Medical Imaging with Deep Learning (MIDL) 2022, Proceedings of Machine Learning Research, Zurich, Switzerland, July 2022.

  14. Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma*. "Estimating Brain Age with Global and Local Dependencies." 2022 IEEE International Conference on Image Processing (ICIP). Bordeaux, France, October 2022.

  15. Zhou PengZheng, Liang Li, guo xutao, Haiyan Lv, Tong Wang, Ting Ma*, “U-Net Combined with CRF and Anatomical Based Spatial Features to Segment White Matter Hyperintensities”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020. (SCI-EXPANDED, EI)

  16. Yang Chen, Shoulin Huang, Tong Wang, Ting Ma*, Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020.  (SCI-EXPANDED, EI)

  17. Wuchao Yan, Chenfei Ye, Tong Wang, Junyan Sun, Tao Wu, Ting Ma*, “Misfolded Protein Propagation in an Integrated Computational Model of Structural Network and LRRK2 Gene Expression ”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal , Canada, July 2020.  (SCI-EXPANDED, EI)

  18. Shoulin Huang, Junhua Zhu, Yang Chen, Tong Wang, Ting Ma*, “Analysis and Classification of Sleep Stages Based on Common Frequency Pattern from a Single-Channel EEG Signal”, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Montréal, Canada, July 2020.  (SCI-EXPANDED, EI)

已授权专利

1．一种基于体征信息提取的穿戴式情绪识别装置，哈尔滨工业大学（深圳），实用新型，201921906820.1(211609815U),2019-11-07, 哈尔滨工业大学（深圳）,2020-10-02

2．一种基于视频的动态微表情识别方法，哈尔滨工业大学深圳研究生院，发明，201610265428.8(105913038B)，2016-04-26，哈尔滨工业大学深圳研究生院，2019-08-06

3．贴片式传感器电极及生理参数检测系统，哈尔滨工业大学深圳研究生院，实用新型，201320746852.6（203619544U），2013-11-22，哈尔滨工业大学深圳研究生院，2014-06-04

4．数据处理方法及系统，哈尔滨工业大学深圳研究生院，发明，201310598287.8(103598876A)，2013-11-22，哈尔滨工业大学深圳研究生院，2016-08-17

5．一种构建三维血管模型方法及设备，哈尔滨工业大学深圳研究生院，发明，201310106783.7(103247071A)，2013-03-29，哈尔滨工业大学深圳研究生院2015-11-11

6．一种三维骨组织模型构建方法及设备，哈尔滨工业大学深圳研究生院，发明，201310312432.1(103400414A)，2013-07-24，哈尔滨工业大学深圳研究生院，2017-02-08

7．压缩感知框架下的快速弥散张量成像方法及系统，哈尔滨工业大学深圳研究生院，发明，201310307016.2(103356193A)，2013-07-19，哈尔滨工业大学深圳研究生院，2016-12-28

8．一种具有抗干扰实时监护的生理监测手环，哈尔滨工业大学深圳研究生院，实用新型，201621275289.9(206543176U)，2016-11-25，哈尔滨工业大学深圳研究生院，2017-10-10

9．一种适用于电力作业的生理监测手环，哈尔滨工业大学深圳研究生院，实用新型，201621275293.5(206543177U)，2016-11-25，哈尔滨工业大学深圳研究生院，2017-10-10


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