何建忠

浙江工业大学助理研究员，哈佛大学联合培养博士生，研究内容为基于扩散磁共振成像的纤维束成像算法开发，近五年在Medical Image Analysis，NeuroImage， Human Brain Mapping，ISBI等权威期刊和会议发表学术论文10余篇，授权发明专利4项，研究成果荣获获得“互联网+”全国金奖。

简历：

2022年07月 - 至今，浙江工业大学，博士后

2015年09月 - 2022年06月，浙江工业大学信息工程院控制科学与工程，硕博连读。

2019年12月 - 2021年04月，哈佛医学院Brigham and Women's Hospital，联合培养博士生。

2011年09月 - 2015年06月，浙江工业大学信息工程院自动化专业学习，获得工学学士学位。

期刊论文

1. 1. [HBM] Jianzhong He, Fan Zhang, Yiang Pan, Yuanjing Feng, Jarrett Rushmore, Erickson Torio, Yogesh Rathi et al. Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Human Brain Mapping, 2023. DOI: 10.1002/hbm.26497.

   2. [NMR BMD] Jianzhong He, Shun Yao, Qingrun Zeng, Jinping Chen, Tian Sang, Lei Xie, Yiang Pan,  Yuanjing Feng*. A unified  global tractography framework for automatic visual pathway reconstruction. NMR in Biomedicine, 2023. DOI: 10.1002/nbm.4904.

   1. [HBM] Jianzhong He, Fan Zhang*, Guoqiang Xie, Shun Yao, Yuanjing Feng*, Dhiego CA Bastos, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J Golby, Lauren J O'Donnell. Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI. Human Brain Mapping, 2021. DOI: 10.1002/hbm.25472.

1. [MedIA] Yuanjing Feng*, Jianzhong He, Asymmetric fiber trajectory distribution estimation using streamline differential equation, Medical Image Analysis, 2020.  DOI: 10.1016/j.media.2020.101686.

1. [中国科学] 冯远静, 何建忠, 李永强, 周思琪. 神经纤维体素微结构成像估计算法研究进展，中国科学.信息科学 2019. DOI: 10.1360/N112017-00273.

     

1. [IEEE TCDS] Qingrun Zeng, Jiahao Huang, Jianzhong He, Shengwei Chen, Lei Xie, Zan Chen, Wenlong Guo, Sun Yao, Mengjun  Li, Mingchu Li, Yuanjing Feng*. Automated Identification of the Retinogeniculate Visual Pathway Using a High-dimensional Tractography Atlas. IEEE Transactions on Cognitive and Developmental Systems. 2023. DOI: 10.1109/TCDS.2023.3304529.

2. [BRAIN RES] Wenyang Zhou, Jianzhong He, Chengzhe Zhang, Yiang Pan, Tian Sang, and Xiang Qiu. Fiber-specific white matter alterations in Parkinson’s disease patients with freezing of gait. Brain Research, 2023. DOI: 10.1016/j.brainres.2023.148440.

3. [NeuroIm] Leo R. Zekelman, Fan Zhang, Nikos Makris, Jianzhong He, Yuqian Chen, Tengfei Xue, Daniela Liera, Daniel L. Drane, Yogesh Rathi, Alexandra J. Golby, Lauren J. O'Donnell. White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project[J]. NeuroImage. 2022, 246, p.118739. DOI: 10.1016/j.neuroimage.2021.118739.

4. [Neuro Lett] Sang, Tian, Jianzhong He, Jingqiang Wang, Chengzhe Zhang, Wenyang Zhou, Qingrun Zeng, Yuan Yuan, Lihua Yu, and Yuanjing Feng. Alterations in white matter fiber in Parkinson disease across different cognitive stages. Neuroscience Letters. 2022, 769:136424. DOI: 10.1016/j.neulet.2021.136424.

     

   1. [HBM] Jiahao Huang, Mengjun Li, Qingrun Zeng, Lei Xie, Jianzhong He, Ge Chen, Jiantao Liang, Mingchu Li, and Yuanjing Feng*. Automatic oculomotor nerve identification based on data‐driven fiber clustering[J].  Human Brain Mapping, 2022, 43(7): 2164-2180. DOI: 10.1002/hbm.25779.

        

      1. [NMR BMD] Qingrun Zeng, Mengjun Li, Shaonan Yuan, Jianzhong He, Jingqiang Wang, Zan Chen, Changchen Zhao, Ge Chen, Jiantao Liang, Mingchu Li, Yuanjing Feng*. Automated facial–vestibulocochlear nerve complex identification based on data‐driven tractography clustering. NMR in Biomedicine, 1099-1492, 2021. DOI: 10.1002/nbm.4607.

1. [JMRI] Nath, V., Schilling, K. G., Parvathaneni, P., ..., Ye Wu, Jianzhong He, Yuanjing Feng, ..., Alexander Leemans, Maxime Descoteaux, Tim B. Dyrby, Hakmook Kang, Bennett A. Landman. Tractography Reproducibility Challenge with Empirical Data(TraCED): The 2017 ISMRM Diffusion Study Group Challenge. Journal of Magnetic Resonance Imaging, 2019. DOI: 10.1002/jmri.26794.

1. 1. [BBR] Liling Jin, Qingrun Zeng, Jianzhong He, Yuanjing Feng*, Siqi Zhou,Ye Wu. A ReliefF-SVM-based method for marking dopamine-based disease characteristics: A study on SWEDD and Parkinson’s disease. Behavioural brain research, 2019 (356): 400-407. DOI: 10.1016/j.bbr.2018.09.003.

1. 1. [BRAIN RES] Siqi Zhou, Liling Jin, Jianzhong He, Qingrun Zeng, Ye Wu, Zhewen Cao, Yuanjing Feng*. Distributed performance of white matter properties in chess players: A DWI study using automated fiber quantification. Brain research, 2018, 1700, 9-18. DOI: 10.1016/j.brainres.2018.07.003.

• 会议论文

1. [ISBI] Jianzhong He, Yuanjing Feng*. Asymmetric Fiber Trajectory Distribution Estimated Using Streamline Differential Equation,  IEEE, International Symposium on Biomedical Imaging–ISBI, 2019. (Oral) DOI: 10.1109/ISBI.2019.8759470.

2. [ISBI] Sipei Li, Jianzhong He, Tengfei Xue, Guoqiang Xie, Shun Yao, Yuqian Chen, Erickson F. Torio et al. DeepRGVP: A novel Microstructure-Informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography. IEEE, International Symposium on Biomedical Imaging ISBI, 2023. DOI: 10.1109/ISBI53787.2023.10230833. 

3. [CCC] Shuo Zhao, Jianzhong He, Yongqiang Li, Qingrun Zeng, Yuanjing Feng, Evgeniya Amelina, Mihail Amelin, and Yile Xu. Retinogeniculate Visual Pathway Reconstruction Using Reinforcement Learning. In 2023 42nd Chinese Control Conference (CCC), 2023. DOI: 10.23919/CCC58697.2023.10239952.

4. [CCC] Qingrun Zeng, Jiawei Zhang, Shengwei Chen, Lei Xie, Jiahao Huang, Jianzhong He, Yiang Pan et al. Automatic Retinogeniculate Visual Pathway Identification Based on Data-driven Fiber Clustering and Anatomical Constrains. In 2023 42nd Chinese Control Conference (CCC), 2023. DOI: 10.23919/CCC58697.2023.10239759.

5. [CCC] Lei Xie, Lin Yang, Qingrun Zeng, Jianzhong He, Jiahao Huang, Yuanjing Feng, Evgeniya Amelina, and Mihail Amelin. Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation. In 2023 42nd Chinese Control Conference (CCC), 2023. DOI: 10.23919/CCC58697.2023.10240807.

1. 1. [MICCAI-CDMRI] Ridho Akbar, Yuanjing Feng*, Fan Zhang,  Jianzhong He,  Qingrun Zeng, Lipeng Ning,  Carl-Fredrik Westin,  Lauren J O’Donnell. Spatial sparse estimation of fiber orientation distribution using deep alternating directions method of multipliers network[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention Workshop on Computational Diffusion MRI MICCAI-CDMRI， Springer， 2020. DOI: 10.1007/978-3-030-52893-5_7.

   
   

• 授权专利

• [1] 冯远静, 何建忠, 吴烨, 张军, 徐田田, 周思琪, 黄弈奇. 一种基于群体跟踪的脑白质纤维成像方法. (授权号：ZL201610288917.5) 发明专利.

• [2] 冯远静, 何建忠, 吴烨, 徐田田, 张军, 周思琪. 一种基于字典的球面去卷积正则化方法. (授权号：ZL201610387181.7) 发明专利.

• [3] 冯远静, 何建忠, 吴烨, 张军, 徐田田, 周思琪, 黄奕奇. 一种基于球面卷积的全球概率纤维跟踪方法. (授权号：ZL201610292345.8) 发明专利.

• [4] 李永强, 冯远静, 周思琪, 金丽玲, 何建忠, 曾庆润. 一种基于空间结构一致性的脑纤维微结构重构方法. (授权号：ZL201610218816.0) 发明专利.

[1] 基于深度学习的非对称纤维成像及功能传导束图谱构建算法研究，国家青年科学基金项目. 编号: 62303413, 2024-2026. (主持)

[2] 非对称张量成像理论及颅神经图谱重建算法研究，国家自然科学基金项目. 编号: 61976190, 2020-2024. (参与)

[3] 医学人工智能技术与系统研发-多模态脑神经微结构三维重建与神经外科手术 规划系统研发，浙江省科技计划项目-重点研发. 编号: 2020C03070, 2020-2023. (参与)

[4] 高精度-多模态脑神经微成像技术开发辅助精准神经外科手术的应用研究，温州市重大科技专项. 编号: ZS2017007, 2017-2020. (参与)

[5] 全球脑神经外科手术规划云服务领航者，浙江省“互联网+”大学生创新创业大 赛，总冠军，2020. (参与)

[6] 全球脑神经外科手术规划云服务领航者, 中国国际“互联网+”大学生创新创业大赛, 全国金奖, 2020. (参与)