Bo PENG

Professor(PhD)

Lab of Image processing and Parallel computing
Department of Computer Science and Technology
Southwest Petroleum University

Address: Room 515, MingLi Building, Southwest Petroleum University, Chengdu 610000, P.R.China
Email: bopeng at swpu dot edu dot cn


[News | Biography | Research Interests | Selected Publications | Services | Students]
News
  • Oct-14-2024, one paper was accepted by IEEE International Conference on Bioinformatics and Biomedicine 2024(IEEE BIBM 2024)!Congrats to Xiaofeng Li

  • Oct-9-2024, one paper was accepted by Journal of Petroleum Science and Engineering(SCI, 中科院二区)!Congrats to Jiabin Shi

  • Sep-15-2024, one paper was accepted by Physics of Fluids(SCI, 中科院二区)!Congrats to Yuhao Xia

  • July-24-2024, one paper was accepted by IEEE International Conference on Systems, Man, and Cybernetics(IEEE SMC 2024)!Congrats to Yihong Zhu

  • July-5-2024, one paper was accepted by IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control(SCI, 中科院二区)!Congrats to Yuting Zhang

  • June-27-2024, one paper was accepted by Physiological Measurement(SCI, 中科院三区)!Congrats to Jiajun Cai

  • Apr-19-2024, 团队参与的项目"用于乳腺肿瘤筛查的触诊成像技术研究及应用"获四川省医学会 医学科技奖二等奖!

  • Mar-22-2024, one paper was accepted by Medical & Biological Engineering & Computing(SCI, 中科院四区)! Congrats to Tianqiang Xiang.

  • Feb-23-2023, 一篇中文论文被《生物医学工程学学报》录用!祝贺张潇.

  • Feb-12-2024, one paper was accepted by Journal of Imaging Informatics in Medicine(SCI, 中科院二区)! Congrats to Weidong Wang.

  • Sep-29-2023, Congratulations to Jingguo Qu for being admitted as a doctoral candidate by the Hong Kong Polytechnic University.

Biography

Bo Peng received the B.E degree in computer science from Southwest Petroleum University (SWPU), Chengdu, China, in 2003, and the M.S. and Ph.D. degrees in computer science from Sichuan University, Chengdu, China, in 2007 and 2014, respectively. He joined SWPU as a Lecturer in 2007, where he is currently a Professor of Computer Science. He was a Post-Doctoral Researcher with the Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA, from 2015 to 2017. He was a Visiting Scholar at the Medical Ultrasound Engineering (MUSE) Lab directed by Dr.Jianwen Luo(Chang Jiang Scholar) in the Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China from 2020 to 2021. His current research interests include ultrasound elastography, ultrasound localization microscopy, GPU computation, and medical image analysis.
 
Research Interests

[1]Medical Ultrasound Imaging (Ultrasound Elastography, Ultrasound Localization Microscopy, Vector Flow Imaging, Pulse Wave Velocity, etc.).

[2]Medical Image Analysis.

[3]Research on Deep Learning/Machine learning-based Cross-disciplinary Applications.

[4]GPU-based High-performance Computing.
Selected Publications
  • W. Wang, H. Zhang, Y. Li, Y. Wang, Q. Zhang, G. Ding, L. Yin, J. Tang and B. Peng, "An Automated Heart Shunt Recognition Pipeline Using Deep Neural Networks", in J Digit Imaging. Inform. med.(2024). https://doi.org/10.1007/s10278-024-01047-4 (SCI,中科院2区,JCR1区)

  • S. Wen, B. Peng, X. Wei, J. Luo and J. Jiang, "Convolutional Neural Network-based Speckle Tracking for Ultrasound Strain Elastography: An Unsupervised Learning Approach," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol.70, no.5, pp. 354-367, May 2023, doi: 10.1109/TUFFC.2023.3243539. (SCI,中科院2区,JCR1区)

  • B. Peng, Y. Wang, T. J. Hall and J. Jiang, "A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 64, no. 4, pp. 694-705, April 2017, doi: 10.1109/TUFFC.2017.2661821.(SCI,中科院2区,JCR1区)

  • B. Peng, Y. Wang, W. Yang, T. Varghese and J. Jiang, "Relative Elastic Modulus Imaging Using Sector Ultrasound Data for Abdominal Applications: An Evaluation of Strategies and Feasibility," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 63, no. 9, pp. 1432-1440, Sept. 2016, doi: 10.1109/TUFFC.2016.2589270.(SCI,中科院2区,JCR1区)

  • Y. Wang, B. Peng, J. Jiang, "Building an open-source simulation platform of acoustic radiation force-based breast elastography," Physics in Medicine & Biology, 2017, 62(5): 1949-1969. (SCI,中科院3区,JCR1区)

  • B. Peng, Y. Xian, Q. Zhang and J. Jiang, "Neural Network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility," Ultrasonic Imaging, 2020, 42 (2): 74-91. (SCI,中科院3区,JCR2区)

  • B. Peng*; S. Luo; Z. Xu; J. Jiang*; Accelerating 3-D GPU-based Motion Tracking for Ultrasound Strain Elastography Using Sum-Tables: Analysis and Initial Results , Applied Sciences-Basel, 2019, 9(10): 0-1991. (SCI,中科院3区,JCR2区)

  • T. Xiang, Y. Li, H. Deng, B. Peng et al. "Teacher-student guided knowledge distillation for unsupervised convolutional neural network-based speckle tracking in ultrasound strain elastography". Med Biol Eng Comput (2024). https://doi.org/10.1007/s11517-024-03078-z (SCI,中科院4区,JCR2区)

  • 彭博, 汪强,青芮冰,尹立雪,姜劲枫. 基于光线追踪的实时超声模拟与虚拟现实的集成[J]. 系统仿真学报, 2022, 34(11): 2425-2436. (CSCD核心)

  • X. Zhang, R. Wang, X. Wei, J. Luo and B. Peng, "Displacement-based Reconstruction of Elasticity Distribution with Deep Neural Network," 2022 IEEE International Ultrasonics Symposium (IUS), Venice, Italy, 2022, pp. 1-5, doi: 10.1109/IUS54386.2022.9958003. (清华大学A类会议)

  • H. Zuo, J. Zhang, J. Luo, and B. Peng. "Phase Constraint Improves Ultrasound Image Quality Reconstructed using Deep Neural Network." 2021 IEEE International Ultrasonics Symposium (IUS), pp. 1-4. IEEE, 2021. (清华大学A类会议)

  • B. Peng, Y. Xian and J. Jiang, "A Convolution Neural Network-Based Speckle Tracking Method for Ultrasound Elastography," 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, Japan, 2018, pp. 206-212, doi: 10.1109/ULTSYM.2018.8580034. (清华大学A类会议)

  • Y. Deng, W. Zhou, B. Peng, Dong Liang, and Shun’ichi Kaneko. "Robust Spatial-Temporal Correlation Model for Background Initialization in Severe Scene." ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2415-2419. IEEE, 2021. (CCF-B类会议)

  • Y. Zhao, S. Liu, A. Luo and B. Peng, "Dual Generative Adversarial Network For Ultrasound Localization Microscopy," 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague, Czech Republic, 2022, pp. 3125-3130, doi: 10.1109/SMC53654.2022.9945563. (CCF-C类会议)

  • S. Wen, B. Peng, H. Jiang, J. Cao, and J. Jiang. "Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking." 2021 IEEE International Conference on Image Processing (ICIP), pp. 2963-2967. IEEE, 2021. (CCF-C类会议)

  • Q. Wang, B. Peng, Z. Cao, X. Huang and J. Jiang, "A Real-time Ultrasound Simulator Using Monte-Carlo Path Tracing in Conjunction with Optix Engine," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, 2020, pp. 3661-3666, doi: 10.1109/SMC42975.2020.9283057. (CCF-C类会议)

  • T. He, B. Peng, P. Chen and J. Jiang, "Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, 2020, pp. 3643-3648, doi: 10.1109/SMC42975.2020.9283024.(CCF-C类会议)

  • B. Peng, T. Yang, T. He and J. Jiang, "Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography," 2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020, pp. 2960-2964, doi: 10.1109/ICIP40778.2020.9191296.(CCF-C类会议)

  • B. Peng, X. Huang, S. Wang and J. Jiang, "A Real-Time Medical Ultrasound Simulator Based on a Generative Adversarial Network Model," 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019, pp. 4629-4633, doi: 10.1109/ICIP.2019.8803570.(CCF-C类会议)

Services

Reviewer:

  • IEEE Transactions on Medical Imaging

  • IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

  • Pattern Recognition

  • Medical Physics

  • Ultrasonics

  • Computational and Mathematical Methods in Medicine

  • Journal of Healthcare Engineering

  • Medical & Biological Engineering & Computing

Students
To potential graduate students: If you are interested in doing research with me, please drop me an email with your CV.

Master Students
  • XinYu Li
  • YuQi Jiang
  • WeiDong Wang
  • Xiao Zhang
  • YaQiong Xiao
  • Han Liu
  • YuPeng Ren (co-supervise with Prof. Xian Yi@cardc)
  • WeiKang Hou (co-supervise with Prof. Feng Ye@scu)
  • LiZhi Zhang (co-supervise with Prof. Feng Ye@scu)
  • Qiang Wang (co-supervise with Prof. Feng Ye@scu)

Graduated students
  • Teng Xie (graduated in 2023, co-supervise with Prof. Xian Yi, PhD @ SUN YAT-SEN UNIVERSITY)
  • Jingguo Qu (graduated in 2023, co-supervise with Prof. Xian Yi, PhD @ PolyU)
  • Yang Wu (graduated in 2023, co-supervise with Assoc Prof. Shenghua Xie from Sichuan Provincial People's Hospital, work @ 四川银行)
  • Yachuan Zhao(graduated in 2023, work @ 四川电信)
  • Shuojie Wen (graduated in 2023, work @ 浦发银行)
  • Hao Luo (graduated in 2023, co-supervise with Prof. Zhe Wu from UESTC, work @ 蜀道集团川高公司)
  • Peilin Li (graduated in 2023, work @ 广安职业技术学院)
  • Hongmei Zhao (graduated in 2023, work @ 精锋医疗)
  • Xinghuan Zhang (graduated in 2023, co-supervise with Prof. Xian Yi, work @ 中国空气动力研究与发展中心计算空气动力研究所)
  • Zhongxin Chen (graduated in 2023, work @ 成都市市容环卫管理事务中心)
  • Jianbin Feng (graduated in 2023, work @ 中国银行金融科技限公司)
  • Yongjie Shao (graduated in 2023, work @ 建信金科成都事业群)

  • Pan Zhang (graduated in 2022, work @ Baidu)
  • Yuheng Deng (graduated in 2022, work @ Xiaomi)
  • Yitian Liu(graduated in 2022, work @ 新疆应急厅信息中心)
  • Hao Zuo (graduated in 2022,co-supervise with Prof. Ling Wang, work @ 浦发银行)
  • Linfeng Li (graduated in 2022, co-supervise with Prof. Ling Wang, work @ 浦发银行)
  • Jing ou (graduated in 2022, co-supervise with Prof. Ling Wang and Dr. Wenjun Zhou, work @ 成都农商行)

  • Qiang Wang (graduated in 2021, PhD @ UESTC)
  • Xing Huang (graduated in 2021, work @ 招银网络科技有限公司)
  • Yiping Wang (graduated in 2021, work @ 成都索贝)
  • Tingting He (graduated in 2021, work @ 成都瑞德斯特)
  • Yaru Luo (graduated in 2021, co-supervise with Prof. Ling Wang, work @ 浦发银行)
  • Zhendi Tang (graduated in 2021,co-supervise with Prof. Ling Wang, work @ 浦发银行)
  • Yuanhao Tan (graduated in 2021, co-supervise with Dr. Quan Zhang, work @ 成都今是科技)

  • Lianhai He (graduated in 2020, work @ 中信银行)
  • Tianlan Yang (graduated in 2020, work @ 中信银行)
  • Yuxiao Qiu (graduated in 2020, work @ 中信银行)
  • Zhengqiu Xu (graduated in 2020, work @ 中物院高性能数值模拟软件中心成都分中心)
  • Xing Luo (graduated in 2020, work @ 工商银行)
  • Hua Li (graduated in 2020, work @ 雅安职业技术学院)
  • Pengcheng Chen(graduated in 2020, PhD @ Sun Yat-sen University)
  • Qianyu Zhang (graduated in 2020,co-supervise with Prof. Ling Wang, PhD @ Beijing Institute of Technology)
  • Yuhong Xian (graduated in 2020, co-supervise with Prof. Ling Wang, work @ 浦发银行)
  • Jingyu Zhou (graduated in 2020,co-supervise with Prof. Ling Wang, work @ 四川中川新迈光声医疗科技有限公司)
  • Xiaolan Li (graduated in 2020, co-supervise with Prof. Xianfeng Yang, work @ 四川省计算机研究院)

Undergraduate Students
  • Zeying Liu(University of Birmingham, UK, Graduated in 2021)
  • Ziyuan Cao(Tokyo Metropolitan University, Japan, Graduated in 2021)