个人简历

目前，主持国家自然科学基金项目1项，中国博士后特别资助1项，教育部博士点基金1项，中国博士后基金1项，黑龙江省博士后基金1项，黑龙江省博士后科研启动基金1项，黑龙江省自然科学基金1项，哈工大科研创新基金1项，重点实验室自主课题2项；作为科技骨干参加国家自然科学基金4项，国家重点研发计划1项，国防科技创新特区项目3项。
Wenpeng Gao, associate professor with School of Life Science & Technology, Harbin institute of technology.
Work and research experiences
2010-
Harbin Institute of Technology
2006-2007
Visiting student, Brainimaging Lab, A*STAR, Singapore
2015-2016
Visiting scholar at Surgical Planning Lab, Brigham and Women's Hospital, Harvard Medical School
Education
1999-2003, B.E., Mechanical manufacturing and automation, Harbin Institute of Technology
2003-2005, B.S., Mechatronic Engineering, Harbin Institute of Technology
2005-2010, Ph.D., Biomedical Engineering, Harbin Institute of Technology
Awards
面向XXXXXXXXXXXXXXX机器人系统. 军队科技进步二等奖， 2017.
手部创伤康复机器人关键技术研究. 黑龙江省科学技术三等奖, 2018.
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研究领域

1. Medical image analysis (Chang Yueyan)
The change of anatomy may be related to the disease, therefore, medical image analysis can be used to detect the change for diagnosis, treatement and evaluation. Now, we are engaging in the analysis of deep brain stimulation (DBS) with multimodality MR images, microelectrode recording (MER) and EEG.
2. Computer assisted surgical planning and navigation (Su Yixian and Liu Ziteng)
Minimally invasive surgery (MIS) has many advantages over the open surgery for small incision, fast recovery and low complication. However, the smaller incision may restrict the surgeons to inspect the anatomy directly and the field of view is limited. Computer assisted surgical planning can help the surgeon to locate the target and design the trajectory with preoperative medical image. The navigation can estabilsh the relationship between image space and physical space to superpose the virtual model on the patient for guiding the surgery. Now, we attempt to track the instrument with a common RGB-D sensor and the deformation of the soft tissue in the laparoscopic image.
3. Deep learning (Sun Yu)
Deep learning is becoming the most popular method in the field of computer vision, especially in classification. Now, we are trying to recover the 3D human body model from 2D video. (Code: https://github.com/JDAI-CV/DSD-SATN)
4. Virtual surgery simulation for training the surgeon to maneuver the robot to perform the surgery (Sun Shuo)
The system will reduce the complexity of the training curve for the surgeon maneuvering the robot to perform the surgery.""

近期论文

Journal paper (# co-first author, * corresponding author)
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(Accepted)
Mohamed Hosny, Minwei Zhu, Wenpeng Gao*, Yili Fu. A novel deep LSTM network for arifacts detection in microelectrode recordings. Biocybernetics and Biomedical Engineering, 2020, 40(3):1052-1063.
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.
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.
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).
Gao Wenpeng， Wei Haizhu， Chen Dong， et al. Landmark guided, atlas-based automatic segmentation of brainstem from magnetic resonance neuroimages. Journal of Medical Imaging and Health Informatics. 2015, 5(8):1843-1847.
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.
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):199-210.
Fu Yili, Gao Wenpeng*, Chen Xiaoguang, et al. Automatic identification of the reference system based on the fourth ventricular landmarks in T1-weighted MR images. Academic Radiology. 2010, 17(1):67-74.
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.
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.
Chen Xiaoguang, Hou Xiaohua, Gao Wenpeng#, et al. Morphology of the adult midsagittal brainstem in relation to the reference systems: MRI-based variability study. Academic Radiology. 2010, 17(6):708-717.
Zhu Minwei, Wang Xudong, Gao Wenpeng, et al. Corpus callosum atrophy and cognitive decline in early Alzheimer@#%s disease: longitudinal MRI study. Dementia and Geriatric Cognitive Disorders. 2014, 37(3-4):214-222.
Conference paper
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. (Code:https://github.com/Arthur151/DSD-SATN)
Gao Wenpeng, Jiang Baichuan, D. Kacher, B. Feltics, E. Nevo, T. Lee, J. Jayender. Kalman filter based sensor fusion for needle tracking in MR-guided cryoablation. International Journal of Computer Assisted Radiology and Surgery, 2016, 11(S1):S65-S66.
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.
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.
Gao Wenpeng, Chu Lili, Fu Yili, et al. A non-linear, anisotropic mass spring model based simulation for soft tissue deformation. 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2014), p7-10.
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.
Fu Yili, Gao Wenpeng*, Xiao Yongfei, et al. 3D ASM-based segmentation of the subcortical nucleus from volumetric MR images. Proceedings of SPIE-The International Society for Optical Engineering, v7497, 2009, MIPPR 2009.
1. Editor Board of Interntional Journal of Radiology
2. 国家自然科学基金外审专家
3.IEEE Member
4.中国人工智能学会智能机器人专业委员会会员
5. 黑龙江生物医学工程学会理事
6. International Journal of Computer Assisted Radiology and Surgery审稿人
7. International Journal of Medical Robotics and Computer Assisted Surgery审稿人
8. Journal of Medical Robotics Research审稿人
9. IEEE Transactions on Instrument and Measurement审稿人
10.Committee member of ICIA， ROBIO.