冯远静科研成果

个人简介 冯远静，博士、健行特聘教授、博士生导师，浙江省"万人计划"创新领军人才、浙江省高校创新领军人才、中青年学科带头人。现为浙江工业大学信息工程学院副院长，浙江省“高端数智诊疗装备”协同创新中心主任，浙江省嵌入式系统联合重点实验室副主任。西安交通大学控制科学与工程博士，哈佛大学访问学者。近五年主持国家基金联合基金重点1项、面上项目2项、浙江省重点研发计划项目1项，在领域顶级期刊 Medical Image Analysis，Neuroimage， IEEE TIP，Automatica，Nature Comm.，Human Brain Mapping及会议MICCAI，ISBI，ICCV等发表论文多篇。获2015教育部科技进步二等奖(7/11)、2016浙江省科技进步二等奖(8/10)、2017浙江省科技进步二等奖(10/11)、2022吴文俊人工智能科技进步二等奖(1/14)。指导学生获“互联网+”创新创业大赛全国金奖1项(2020)，银奖1项(2018)，“挑战杯”全国一等奖2项(2011、2013)、二等奖2项(2014、2015)。获2022中国自动化学会教学成果二等奖(4/8)。工作教育经历：2018-10 至 2019-04 哈佛大学 访问教授；2010-01 至 2011-01 哈佛大学 访问学者；https://lmi.med.harvard.edu/people/yuanjing-feng2013-09 浙江工业大学 教授 ；2007-09至2013-08 浙江工业大学 副教授；2005-11至2007-08 浙江工业大学 讲师；2001至2005西安交通大学 控制科学与工程 博士；1994-2001西北农林科技大学机械设计与制造本硕。 教学与课程 1. 本科生课程：数字图像处理，脑与认知科学基础2. 硕士研究生课程：数字图像处理3. 博士生课程：计算机视觉理论与方法 育人成果 2020年，中国国际“互联网+”大学生创业大赛金奖2020年，浙江省大学生“互联网+”创业大赛冠军2018年，全国大学生“互联网+”创业计划大赛银奖2016年，全国大学生“互联网+”创业计划大赛银奖2016年，浙江省大学生创业计划大赛特等奖2015年，挑战杯国家二等奖，累积创新银奖2014年，全国大学生创业计划大赛银奖2014年，全国大学生小平创新团队（全国30个）2013年，挑战杯国家一等奖，累积创新一等奖2011年，挑战杯国家一等奖 科研项目     国家自然科学基金联合基金：磁共振引导的脑部恶性肿瘤分子影像实时精准诊疗研究(U23A20334),2024.1-2027.12    国家自然科学基金联合基金：急诊环境下的心脑血管多模态影像融合分析关键技术研究(U22A2040), 2023.1-2026.12    国家自然科学基金面上项目：非对称张量成像理论及颅神经图谱重建算法研究(61976190)，2020.1-2023.12浙江省重点研发计划：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(2020C03070)，2020.1-2022.12国家自然科学基金面上项目：基于高阶张量稀疏成像的脑纤维群体重构算法研究 (61379020)，2014.1-2017.12国家自然科学基金青年项目：Q-学习最优控制的稳定性、收敛性与最优性研究 (61703369)，2018.1-2020.12国家重点研发计划课题：复杂工况下运动姿态视频测量与动态特性分析仪(2016YFF0104004)，2016.7-2020.6 浙江省自然科学基金青年项目：神经外科微创手术辅助机器人的数据驱动力控制(LQ16F030009)，2016.1-2018.12浙江省钱江人才计划项目：脑白质纤维微结构精确重构算法及三维可视化系统开发 (2012R10051)，2012.1-2014.12 深圳安科委托项目：医疗影像数据分析关键技术研发，2018/11-2022/11航天科工广信委托项目：交通流大数据分析及智能信号配时关键技术研究，2016/01-2020.12中奥科技委托项目：警务大数据知识图谱关键技术研究，2019.3-2021.12银江股份委托项目：交通大数据分析关键技术，2012.1-2015.12 科研成果 期刊论文 [HBM]  Jianzhong He, Fan Zhang*, Yiang Pan, Yuanjing Feng*, Jarrett Rushmore, Erickson Torio, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J. Golby, Lauren J. O'Donnell. Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Human Brain Mapping. https://doi.org/10.1002/hbm.26497.[MEDP]Zan Chen,Chenxu Peng,Yongqiang Li,Feng Yuanjing*. Super-resolved q-space learning of diffusion MRI, Medical Physics.Doi:10.1002/mp.16478.[IEEE TCDS]Qingrun Zeng, Jiahao Huang, Jianzhong He, ..., 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.  https://doi.org/10.1109/TCDS.2023.3304529. [MEDIA]Xie Lei, Huang Jiahao, Yu Jiangli, Zeng Qingrun, Hu Qiming,Chen Zan, Xie Guoqiang, Yuanjing Feng*. CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation. Medical Image Analysis, 2023,  86: 102766[NRM 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[IEEE TCSVT]Changchen Zhao, Hongsheng Wang, Huiling Chen, Weiwei Shi, and Yuanjing Feng*. JAMSNet: A Remote Pulse Extraction Network Based on Joint Attention and Multi-Scale Fusion. IEEE Transactions on Circuits and Systems for Video Technology. DOI:10.1109/TCSVT.2022.3227348[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.[IEEE TIM]Changchen Zhao , Menghao Zhou , Weiran Han, Yuanjing Feng*. Anti-Motion Remote Measurement of Heart Rate Based on Region Proposal Generation and Multi-scale ROI Fusion. IEEE Transactions on Instrumentation and Measurement. DOI:10.1109/TIM.2022.3169567.[HBM]Mengjun Li,  Fang-Cheng Yeh,  Qingrun Zeng,  Xiaolong Wu, Xu Wang, Zixin Zhu, Xiaohai Liu, Yuanjing Feng*， Mingchu Li*. The trajectory of the medial longitudinal fasciculus in the human brain: A diffusion imaging‐based tractography study[J]. Human Brain Mapping. 2021; 42(18):6070-6086. [NMR BMD]Jingqiang Wang,Xiaoming Liu,Xinyi Wang,Yuhuan Hu,Qingrun Zeng,Zhicheng Lin,Nian Xiong,Yuanjing Feng*.Alterations of white matter tracts and topological properties of structural networks in hemifacial spasm.NMR in Biomedicine. http://doi.org/10.1002/nbm.4756[ELIFE]Mingchao Yan, Wenwen Yu, Qian Lv, Qiming Lv, Tingting Bo, Xiaoyu Chen, Yilin Liu, Yafeng Zhan, Shengyao Yan, Xiangyu Shen, Baofeng Yang, Qiming Hu, Jiangli Yu, Zilong Qiu, Yuanjing Feng, Xiao-Yong Zhang, He Wang, Fuqiang Xu, Zheng Wang. Mapping brain-wide excitatory projectome of primate prefrontal cortex at submicron resolution and comparison with diffusion tractography. eLife, DOI:10.7554/eLife.72534.[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, 42(12), 3887-3904, 2021.[IEEE TIP]Zan Chen, Wenlong Guo, Yuanjing Feng*, Yongqiang Li, Changchen Zhao,Yi Ren,Ling Shao. Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing. IEEE Transactions on Image Processing, 30, 7112-7126.[NEC]Zan Chen, LeiXie, YukaiChen, QingrunZeng, Qichuan ZhuGe, JiakaiShen, CaiyunWen,YuanjingFeng*. Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image. Neurocomputing. DOI: 10.1016/j.neucom.2021.11.075.[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.[AUTO]Li Yongqiang, Lu Chaolun, Hou Zhongsheng, Feng Yuangjing*. Data-driven robust stabilization with robust domain of attraction estimate for nonlinear discrete-time systems . Automatica, 2020, 119(4):109031[MEDIA]Yuanjing Feng*, Jianzhong He, Asymmetric fiber trajectory distribution estimation using streamline differential equation, Medical Image Analysis, 2020.  https://doi.org/10.1016/j.media.2020.101686[IEEE TCDS]Yuanjing Feng*, Jiahao Song etc., Investigation of local white matter properties in professional chess player: A diffusion magnetic resonance imaging study based on automatic annotation fiber clustering. IEEE Transactions on Cognitive and Developmental Systems https://doi.org/10.1109/TCDS.2020.2968116.[NEROS]Yuanjing Feng*, Wenxuan Yan. Local white matter fiber clustering differentiates Parkinson’s  disease diagnoses,  Neuroscience,  https://doi.org/10.1016/j.neuroscience.2020.03.049.[MEDIA]Ye Wu, Yoonmi Hong,Yuanjing Feng*, DinggangShen*,Pew-ThianYap*, Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Analysis, 2019, 59:101543. [AUTO]Yongqiang Li, Chengzan Yang, Zhongsheng Hou, Yuanjing Feng*, Chenkun Yin.  Data-Driven Approximate Q-Learning Stabilization with Optimality Error Bound Analysis. Automatica, 2019[JMRI]Vishwesh Nath, Kurt G. Schilling,...., 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[NEUROIMAGE]Wu Y, Zhang F, Makris N, Ning Y, Norton I, She S, Peng H, Rathi Y, Feng Y, Wu H, et al. Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder. Neuroimage. 2018;181 :16-29.[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[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,2018:S016643281830891X.[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(6):663-684.[AUTO]Yongqiang Li, Zhongsheng Hou, Yuanjing Feng*, Ronghu Chi. Data-driven approximate value iteration with optimality error bound analysis[J]. Automatica, 2017, 78: 79-87.[AI MED]Yuanjing Feng*, Ye Wu, Yogesh Rathi, Carl-Fredrik Westin. Sparse deconvolution of higher order tensor for fiber orientation distribution estimation[J]. Artificial Intelligence in Medicine, 2015, 65(3): 229-238. [NC]Klaus H. Maier-Hein*, Peter F. Neher, Jean-Christophe Houde, Marc-Alexandre Côté, Eleftherios Garyfallidis, Jidan Zhong, Maxime Chamberland, Fang-Cheng Yeh, Ying-Chia Lin, Qing Ji, Wilburn E. Reddick, John O. Glass, David Qixiang Chen, Yuanjing Feng, Chengfeng Gao, Ye Wu, Jieyan Ma, H. Renjie, Qiang Li, Carl-Fredrik Westin, et al. The challenge of mapping the human connectome based on diffusion tractography[J]. Nature Communications, 2017, 8(1): 1349-1361. [INS]Ronghua Liang, Zhengzhou Wang, Song Zhang, Yuanjing Feng, Li Jiang, Xiangyin Ma, Wei Chen, David F. Tate. Visual exploration of HARDI fibers with probabilistic tracking[J]. Information Sciences, 2016, 330(C): 483-494. [AMC]Yuanjing Feng*, Li Yu, Guijun Zhang. Ant colony pattern search algorithms for unconstrained and bound constrained optimization [J]. Applied Mathematics and Computation, 2007, 191(1):42-56.[OER]Yuanjing Feng*, Li Yu, Liangjun Ke. Finite grade pheromone ant colony optimization for image segmentation[J]. Opto-Electronics Review, 2008, 16(2):163-171. 会议论文[MICCAI-CDMRI]Siqi Li, Zan Chen, Wenlong Guo, Qingrun Zeng, Yuanjing Feng*. Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation. Computational Diffusion MRI, MICCAI, 279-290, 2021. [PRCV]Zan Chen, Chenxu Peng, Hao Zhang, Qingrun Zeng, Yuanjing Feng*.Deep-Based Super-Angular Resolution for Diffusion Imaging. Chinese Conference on Pattern Recognition and Computer Vision , 13021, 513-523,2021.[ISBI]Jianzhong He, Yuanjing Feng*.  Asymmetric Fiber Trajectory Distribution Estimated Using Streamline Differential Equation,  IEEE, International Symposium on Biomedical Imaging–ISBI, 2019, 4.8-11, Venice, Italy. (Oral)[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: 79-89. (MICCAI 2019)[MICCAI]Ye Wu,Yuanjing Feng, Dinggang Shen, Pew-Thian Yap. A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions, Medical Image Computing and Computer Assisted Intervention 2018 pp 45-52 [MICCAI]Ye Wu, Yuanjing Feng, Dinggang Shen, Pew-Thian . Penalized Geodesic Tractography for Mitigating Gyral Bias, Medical Image Computing and Computer Assisted Intervention 2018 pp 12-19.[ISBI]Ye Wu, Yuanjing Feng, Fei Li, Carl-Fredrik Westin. Global consistency spatial model for fiber orientation distribution estimation[C]// IEEE, International Symposium on Biomedical Imaging. IEEE, 2015:1180-1183.[ISBI]Yuanjing Feng, Peter Savadjiev, Yogesh Rathi, Meina Quan, Zhejin Wang, Carl-Fredrik Westin. A Swarm Tracking Approach for Stochastic White Matter Tractography[C]//IEEE International Symposium on Biomedical Imaging. Chicago, US, 2011: 803-807. 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，詹佳雯，吴烨，周思琪，龚一隆，毛文涛，周侠，叶峰，梁朝凯，李小薪，梁荣华. 一种用于复杂纤维束精确重构的多级调整混合加权稀疏成像方法，(授权号：ZL201510298776.0) 发明专利[3] 冯远静，张军，徐田田，徐武超. 一种非负高阶张量拟牛顿搜索的纤维方向分布估计方法，(授权号：ZL20151086336.X) 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[5] 李章维，冯远静，白雪琛，王哲进，叶峰，刘衍志. 基于扩散加权磁共振数据的脑纤维三维显示方法（授权号：ZL201310098936.8）发明专利[6] 冯远静，禹鑫燚，白雪琛，洪凌，王哲进. 一种模拟手术训练系统（授权号：ZL201310118117.5）发明专利[7] 洪凌，白雪琛，冯远静，禹鑫燚，叶峰，陈蒙奇，刘衍志，郭冰冰，王哲进. 神经外科脑手术典型病历训练系统（授权号：ZL201310220488.4）发明专利[8] 李章维，冯远静，刘衍志，白雪琛，禹鑫燚. 一种基于图形变换矩阵的窥镜视角跟踪方法（授权号：ZL201310220543.X）发明专利[9] 冯远静，牛延棚，许优优，吴烨，叶峰. 一种扩散加权磁共振成像多纤维重建方法（授权号：ZL201310321268.0）发明专利[10] 梁荣华，孙文杰，王正州，姜晓睿，池华炯，冯远静. 一种基于空间相似度的脑纤维分类方法（授权号：ZL201410328943.7）发明专利[11] 梁荣华，王正州，孙文杰，姜晓睿，池华炯，冯远静. 一种脑神经纤维的空间绘制方法及其系统（授权号：ZL201410328862.7）发明专利[12] 徐田田，冯远静，张军，吴烨，李婓，高成峰. 一种脑白质纤维成像的方法（授权号：ZL201510751670.1）发明专利[13] 冯远静, 吴烨, 许优优, 单敏, 李蓉, 李志娟, 王哲进, 高成峰, 叶峰, 陈蒙奇, 李斐. 用于脑白质纤维跟踪的高阶扩散张量混合稀疏成像方法（授权号：ZL201410558017.9）发明专利。