联系方式
个人简介
1999-2003年：amjs澳金沙门欢迎您 机械设计制造及其自动化专业工学学士
2003-2005年：amjs澳金沙门欢迎您 机械电子工程专业工学硕士
2005-2010年：amjs澳金沙门欢迎您 生物医学仪器与工程专业工学博士
2010-2018年：amjs澳金沙门欢迎您 生物医学工程讲师
2019-至今：amjs澳金沙门欢迎您 生物医学工程副教授
Personal Profile
1999-2003：Harbin Institute of Technology, Mechanical design, manufacture and automation, Bachelor degree
2003-2005：Harbin Institute of Technology, Mechatronic Engineering, Master degree
2005-2010：Harbin Institute of Technology, Biomedical Engineering, Doctoral degree
2010-2018：Harbin Institute of Technology, Biomedical Engineering, Lecturer
2019-present：Harbin Institute of Technology, Biomedical Engineering, Associate Processor
研究方向和领域
医疗机器人
Medical Robotics
医学图像处理与分析
Medical Image Processing and Analysis
研究内容
医疗机器人：
1. 多模态环境智能感知研究手术机器人工作过程中术野环境内视觉和力觉混合感知方法，为手术机器人自主操作提供信息支撑。
2. 新型手术器械设计设计具有力感知和自定位功能的灵巧型手术器械与机械臂配合完成特定手术操作。
3. 面向手术机器人的虚拟手术训练，研究基于位置动力学的软组织建模方法、碰撞检测方法及软组织切割方法。
4. 人机交互技术研究基于数据手套的手势识别方法实现对多类型机器人的主从式遥操作。
医学图像处理与分析方向：
1. 多模态医学数据在DBS神经调控机理模拟DBS调控过程中电场在脑深部的分布，利用神经影像和电生理信号探索神经通路相关的DBS神经调控机制。
2. 计算机辅助手术计划与导航研究基于视觉的手术器械追踪方法、多模态影像配准方法和基于增强现实的导航方法。
Research Interests
Medical Robotics:
1. Multimodality intelligent sensing
Hybrid understanding the surgical field of view with vision and force sensing for the surgical robot automatic operation.
2. Novel surgical instrument design
Designing flexible surgical instruments with force sensing and self-positioning, which can be integrated to the robot arm for certain surgical operation.
3. Virtual surgical training for surgical robot
Developing the methods of position-based dynamic based soft tissue deformation modeling, collision detection and virtual cutting.
4. Human-Robot interaction
Studying hand gesture recognition using data glove to implement master-slave remote control of different types of robots.
Medical Image Processing and Analysis:
1. Mechanism of deep brain stimulation using multimodality medical data
Simulating the distribution of the electric field in the brain in the procedure of Deep Brain Stimulation to explore the mechanism of neural pathway related DBS neuromodulation using neuroimaging and electrophysiological signals.
2. Computer assisted surgical planning and navigation
Developing novel methods of surgical instrument tracking, multimodality medical images registration and augmented reality-based navigation.
研究成果：
发表论文
1. Mohamed Hosny, Minwei Zhu,Wenpeng Gao*, Yili Fu. Detection of Subthalamic nucleus using novel higher-order spectra features in microelectrode recording signals. Biocybernetics and Biomedical Engineering, 2021,41(2):704-716.
2. Mohamed Hosny, Minwei Zhu,Wenpeng Gao*, Yili Fu. Deep convolutional neural network for the automated detection of Subthalamic nucleus using MER signals. Journal of Neuroscience Methods, 2021, 356: 109145
3. Mohamed Hosny, Minwei Zhu, Wenpeng Gao*, Yili Fu. A novel deep LSTM network for artifacts detection in microelectrode recordings. Biocybernetics and Biomedical Engineering, 2020, 40(3):1052-1063.
4. Yixian Su,Wenpeng Gao*, Ziteng Liu, Shuo Sun, Yili Fu. Hybrid marker-based object tracking using Kinect v2. IEEE Transactions on Instrumentation & Measurement. 2020, 69(9):6436-6445.
5. Xiaoxi Ji, Hui Wang, Mingwei Zhu, Yingjie He, Hong Zhang, Xiaoguang Chen,Wenpeng Gao*, Yili Fu. Brainstem atrophy in the early stage of Alzheimer’s disease: A voxel-based morphometry study. Brain Imaging and Behavior, 2019,15(1):49-59.
6. Wenpeng Gao, Baichuan Jiang , Daniel F. Kacher, Barry Fetics, Erez Nevo, Thomas C. Lee, Jagadeesan Jayender. Real-time probe tracking using EM-optical sensor for MRI-guided cryoablation. International Journal of Medical Robotics and Computer Assisted Surgery, 2018, 14(1).
7. Zhu Minwei,Gao Wenpeng#, Wang Xudong, et al. Progression of corpus callosum atrophy in early stage of Alzheimer’s disease: MRI based study. Academic Radiology, 2012,19(5):512-517.
8. Fu Yili，Gao Wenpeng*， Xiao Yongfei， et al. A framework for automatic construction of 3D PDM from segmented volumetric neuroradiological data sets. Computer Methods and Programs in Biomedicine. 2010, 97(3):199-9. Fu Yili,Gao Wenpeng*, Chen Xiaoguang, et al. Automatic identification of the reference system based on the fourth 10. Fu Yili, Gao Wenpeng*, Zhu Minwei, et al. Computer-assisted automatic localization of the human pedunculopontine nucleus in T1-weighted MR images: a preliminary study. International Journal of Medical Robotics and Computer Assisted Surgery. 2009,5(3):309-318.
11. Liu Jin-Min, Gao Wenpeng, Huang Su, et al. A model-based, semi-global segmentation approach for automatic 3-D point landmark localization in neuroimages. IEEE Transactions on Medical Imaging, 2008,27(8):1034-1044.
12. Sun Yu, Ye Yun, Liu Wu, Gao Wenpeng, Fu YiLi, Mei Tao. Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation, 2019 ICCV.
13. Baichuan Jiang,Wenpeng Gao, Daniel F. Kacher, Thomas C. Lee, Jagadeesan Jayender. Kalman filter based data fusion for needle deflection estimation using optical-EM sensor. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016, pp457-464.
14. Gao Wenpeng, Jiang Baichuan, Kacher Dan F., et al. Real-time MR-guided needle intervention for cryoablation: A phantom study. SPIE Medical Imaging 2017, v10135.
15. Gao Wenpeng, Fu Yili, Li Zaijuan, et al. A dynamic point matching for registration in image-guided minimally invasive vascular surgery: A simulation study. 2013 IEEE International Conference on Robotics and Biomimetrics (ROBIO 2013), p2019-2024.
16. Multi-modal Imaging for Surgery and Interventions. Encyclopedia of Medical Robotics. volume 3, chapter 5.
专利及软件著作权
1. 苏一贤, 高文朋, 付宜利.Kinect深度相机的标记物及基于该标记物的虚拟标记物跟踪方法，ZL201910295827.2
2. 高文朋等，机械臂遥操作软件V1.0,2021SR0820735.
开设的课程
医学图像处理及3DSlicer应用
Medical Imaging Processing and 3D Slicer application
生物医学图像处理
Biomedical Image Processing
教师个人主页链接
http://homepage.hit.edu.cn/wpgao
