[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 |
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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Services
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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
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To potential graduate students: If you are interested in doing research with me, please drop me an email with your CV.
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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)
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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)
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Undergraduate Students
- Zeying Liu(University of Birmingham, UK, Graduated in 2021)
- Ziyuan Cao(Tokyo Metropolitan University, Japan, Graduated in 2021)
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