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Bo Peng
Bo Peng
Southwest Petroleum University
Verified email at swpu.edu.cn
Title
Cited by
Cited by
Year
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
402020
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
282017
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
242018
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
232010
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
212019
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
202010
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
182017
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
132022
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
132016
Ultrasonic Methods for Assessment of Tissue Motion in Elastography
J Jiang, B Peng
Ultrasound Elastography for Biomedical Applications and Medicine, 35-70, 2018
112018
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
92020
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
82011
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
62013
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
62010
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, 2023
52023
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
52021
The exponentiated lindley geometric distribution with applications
B Peng, Z Xu, M Wang
Entropy 21 (5), 510, 2019
52019
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
52019
A normalized shear deformation indicator for ultrasound strain elastography in breast tissues: an in vivo feasibility study
J Jiang, B Peng
BioMed Research International 2018, 2018
52018
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
42020
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Articles 1–20