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Teacher Details
  • Personal Information
    Xiao Ruoxiu

    Xiao Ruoxiu

    Department:
    |Department of the Internet of Things and Electronic Engineering|
    Professional Title:
    Associate Professor  
    Position:
    Office:
    1024B of MEE Building
    Tel:
    010-62332391
    E-Mail:
    xiaoruoxiu@ustb.edu.cn
    Undergraduate Courses:
    Image Semantic Analysis Data Science Machine Learning Course Design
    Graduate Courses:
    Research Directions:
    Medical image processing, computer-assisted surgery, machine learning and pattern recognition
    Academic And Social Part-Time:
    Member of the Young Scientists Committee of the Chinese Medical Rescue Association Member of the Beijing Society of Graphics and Image, Member of the Youth Committee
  • Resume

    Obtained a doctorate degree in optical engineering from Beijing Institute of Technology in July 2014, worked as a postdoctoral researcher in biomedical engineering at Tsinghua University from July 2014 to July 2016, and entered the School of Computer and Communication Engineering, University of Science and Technology Beijing in July 2016 jobs. During the period, from August 2018 to August 2019 as a visiting scholar at Stanford University School of Medicine

  • Representative Papers

    [1] Ruoxiu Xiao, Jiayu Wang, Xiaoyu Guo, Cheng Chen, Kangneng Zhou, Xintong Wu, Ping Liang, Jian Yang.Coronary Artery Identification Based on Open Curvature Scale Space, IEEE Access, 2020, 8: 16989-17001. (SCI Journal source, IF: 4.098)
    [2] Xiaoyu Guo, Ruoxiu Xiao*, Tao Zhang, Cheng Chen, Jiayu Wang, Zhiliang Wang. A novel method to model hepatic vascular network using vessel segmentation, thinning, and completion. Medical & Biological Engineering & Computing, 2020:1- 16. (SCI journal source, IF: 2.039)

    [3] Ruoxiu Xiao, Jiayu Wang, Xinyi Xie, Fujian Guo, and Xiucheng Li. Three-dimensional Center Segregation Reconstruction of Steel Continuous Casting Slab, steel research international, 2019, 90(12): 1900254. (SCI Publication Source, IF : 1.522)

    [4] Ruoxiu Xiao, Hui Ding, Fangwen Zhai, Tong Zhao, Jian Yang, Guangzhi Wang. Cerebrovascular Segmentation of TOF-MRA Based on Seed Point Detection and Multiple-Feature Fusion. Computerized Medical Imaging and Graphics, 2018, 69:1- 8. (SCI journal source, IF: 3.298)

    [5] Ruoxiu Xiao, Hui Ding, Fangwen Zhai, Tong Zhao, Jian Yang, Guangzhi Wang. Vascular Segmentation of Head Phase-Contrast Magnetic Resonance Angiograms using Grayscale and Shape Features.Computer methods and programs in biomedicine, 2017, 142: 157~ 166. (SCI journal source, IF: 3.424)

    [6] Ruoxiu Xiao, Jian Yang, Jingfan Fan, Danni Ai, Guangzhi Wang, Yongtian Wang. Shape Context and Projection Geometry Constrained Vasculature Matching for 3D Reconstruction of Coronary Artery,Neurocomputing, 2016, 195: 65-73.Neurocomputing, 2016, 195: 65-73. (SCI journal source, IF: 4.072)

    [7] Ruoxiu Xiao,Jian Yang,Danni Ai,Jingfan Fan,Yue Liu,Guangzhi Wang,Yongtian Wang.Adaptive Ridge Point Refinement for Seeds Detection in X-ray Coronary Angiogram. Computational and mathematical methods in medicine, Volume 2015,Article ID 502573, 2015. (SCI journal source, IF: 1.563)

    [8] Ruoxiu Xiao, jian Yang, Mahima Goyal, Yue Liu, Yongtian Wang. Automatic Vasculature Identification in Coronary Angiograms by Adaptive Geometrical Tracking. Computational and mathematical methods in medicine, Volume 2013, Article ID 796342, 2013. (SCI Publication Source, IF: 1.563)

    [9] Xiao Ruoxiu, Yang Jian, Liu Yue, Wang Yongtian. Automatic extraction method of blood vessel centerline applied to contrast image, Journal of Computer Aided Design and Graphics, 2013, 25(3): 363-371. (EI Journal)

    [10] Xiao Ruoxiu, Yang Jian, Song Ling, Liu Yue. Automatic extraction of blood vessel structure for medical three-dimensional imaging, Optical Precision Engineering, 2014, 22(2): 443-450. (EI Journal)

    book:

    [1] Xiao Ruoxiu, Wang Zhiliang, Machine Intelligence: Face Engineering, Mechanical Industry Press, 2017.

     

  • Research Performance

    1. Construction of multimodal MRA cerebrovascular network for epilepsy deep electrode implantation surgery, National Natural Science Foundation of China (project number: 61701022) (chair)

    2. Preoperative multi-modal imaging and artificial intelligence algorithm, Beijing Science and Technology Planning Project (Project Number: Z181100001018017) (Host)

    3. Cerebral vascular reconstruction based on multi-modal MRA images, the basic scientific research business project of central universities, (project number: FRF-TP-16-045A1), (host)

    4. Research on the precise measurement of liver structure based on deep learning, the basic scientific research business project of central universities, (project number: FRF-TP-19-015A2), (host)

    5. Three-dimensional reconstruction of the lesion area of new coronary pneumonia, cerebrovascular reconstruction based on multi-modal MRA images, basic scientific research business projects of central universities, (project number: FRF-DF-20-05), (host)

    6. Image-guided research on the key technology of the virtual and actual fusion presentation of micro-lung cancer under thoracoscopy, Beijing Natural Science Foundation of China (project number: 7182158) (participated)

    7. Research and application of ***, National Defense Science and Technology Innovation Special Zone Project (Project Number: 17-163-12-ZT-002-014-01) (Participate)

    Horizontal project: 1. Development of video analysis and visualization system for cilia movement


  • Get Rewards/Patents

    In 2017, won the first prize of the 4th Young Teacher Teaching Basic Skills Competition of the School of Computer and Communication Engineering, University of Science and Technology Beijing

    Instructor for the third prize of the China Finals of the 12th iCAN International Innovation and Entrepreneurship Competition in 2018

    The Second Prize of the Great Wall International Military Medical Forum "Emergency Big Data Exchange Seminar and Datathon Event" in 2018

    Excellent class tutors of 2018 and 2019

    Outstanding Undergraduate Tutor of 2019

    Patent:

    [1] A method for fully automatic tracking and extracting blood vessels from contrast images, patent number: ZL201210009159

    [2] An automatic matching method for blood vessels based on curvature scale space, patent number: ZL2012104788537.

    [3] Optimization method for configuration and loading of 3D resources of mobile augmented reality browser, patent number: ZL2014103203811.

    [4] A method for detecting significant areas of clothing Application number: 201711393704.X

    [5] A brain wave arrangement method, application number: 201810379069.8

    [6] A method and device for playing analog music command, application number: 201810628494.6

    [7] A method and system for controlling virtual marine organisms, application number: 201810628499.9

    [8] Three-dimensional construction method and device of heterogeneous phase, application number: 201810697972.9