| Neural-network-based motion tracking for breast ultrasound strain elastography: An initial assessment of performance and feasibility B Peng, Y Xian, Q Zhang, J Jiang Ultrasonic imaging 42 (2), 74-91, 2020 | 42 | 2020 |
| A GPU-Accelerated 3-D Coupled Subsample Estimation Algorithm for Volumetric Breast Strain Elastography B Peng, Y Wang, TJ Hall, J Jiang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 64 …, 2017 | 29 | 2017 |
| A convolution neural network-based speckle tracking method for ultrasound elastography B Peng, Y Xian, J Jiang 2018 IEEE International Ultrasonics Symposium (IUS), 206-212, 2018 | 25 | 2018 |
| Combined data distortion strategies for privacy-preserving data mining B Peng, X Geng, J Zhang Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International …, 2010 | 23 | 2010 |
| A real-time medical ultrasound simulator based on a generative adversarial network model B Peng, X Huang, S Wang, J Jiang 2019 IEEE International Conference on Image Processing (ICIP), 4629-4633, 2019 | 22 | 2019 |
| A multiscale morphological approach to local contrast enhancement for ultrasound images B Peng, Y Wang, X Yang 2010 International conference on computational and information sciences …, 2010 | 20 | 2010 |
| Building an open-source simulation platform of acoustic radiation force-based breast elastography Y Wang, B Peng, J Jiang Physics in Medicine & Biology 62 (5), 1949, 2017 | 18 | 2017 |
| Unsupervised convolutional neural network for motion estimation in ultrasound elastography X Wei, Y Wang, L Ge, B Peng, Q He, R Wang, L Huang, Y Xu, J Luo IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 17 | 2022 |
| Relative elastic modulus imaging using sector ultrasound data for abdominal applications: An evaluation of strategies and feasibility B Peng, Y Wang, W Yang, T Varghese, J Jiang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 63 …, 2016 | 14 | 2016 |
| An application of super-resolution generative adversary networks for quasi-static ultrasound strain elastography: A feasibility study L He, B Peng, T Yang, J Jiang IEEE Access 8, 65769-65779, 2020 | 12 | 2020 |
| Ultrasonic methods for assessment of tissue motion in elastography J Jiang, B Peng Ultrasound Elastography for Biomedical Applications and Medicine, 35-70, 2018 | 12 | 2018 |
| Convolutional neural network-based speckle tracking for ultrasound strain elastography: an unsupervised learning approach S Wen, B Peng, X Wei, J Luo, J Jiang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2023 | 8 | 2023 |
| New methods of Data Clustering and Classification based on NMF J Tang, X Ceng, B Peng Business Computing and Global Informatization (BCGIN), 2011 International …, 2011 | 8 | 2011 |
| 基于 GPU 的超声弹性成像并行实现研究 彭博， 谌勇， 刘东权 光电工程 40 (5), 97-105, 2013 | 7 | 2013 |
| Augmented region-growing-based motion tracking using bayesian inference for quasi-static ultrasound elastography B Peng, T Yang, T He, J Jiang 2020 IEEE International Conference on Image Processing (ICIP), 2960-2964, 2020 | 6 | 2020 |
| Accelerating 3-d gpu-based motion tracking for ultrasound strain elastography using sum-tables: Analysis and initial results B Peng, S Luo, Z Xu, J Jiang Applied Sciences 9 (10), 1991, 2019 | 6 | 2019 |
| An adaptive edge enhancement method based on histogram matching for ultrasound images X Yang, J Zhang, B Peng, S You Computational and Information Sciences (ICCIS), 2010 International …, 2010 | 6 | 2010 |
| Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking S Wen, B Peng, H Jiang, J Cao, J Jiang 2021 IEEE International Conference on Image Processing (ICIP), 2963-2967, 2021 | 5 | 2021 |
| Phase constraint improves ultrasound image quality reconstructed using deep neural network H Zuo, J Zhang, J Luo, B Peng 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | 5 | 2021 |
| A real-time ultrasound simulator using Monte-Carlo path tracing in conjunction with optix engine Q Wang, B Peng, Z Cao, X Huang, J Jiang 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 5 | 2020 |
Jingfeng (JJ) JiangBiomedical Engineering, Michigan Tech University在 mtu.edu 的电子邮件经过验证
