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Yifang Li
Yifang Li
Academy for Engineering and Technology, Fudan University
Verified email at fudan.edu.cn
Title
Cited by
Cited by
Year
Deep learning analysis of ultrasonic guided waves for cortical bone characterization
Y Li, K Xu, Y Li, F Xu, D Ta, W Wang
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020
272020
交替分段相互置乱的双混沌序列图像加密算法
陈艳峰, 李义方
华南理工大学学报: 自然科学版, 27-33, 2010
182010
High-resolution bone microstructure imaging based on ultrasonic frequency-domain full-waveform inversion
Y Li, Q Shi, Y Li, X Song, C Liu, D Ta, W Wang
Chinese Physics B 30 (1), 014302, 2021
152021
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron
W Xing, Z Zhu, D Hou, Y Yue, F Dai, Y Li, L Tong, Y Song, D Ta
Computers in Biology and Medicine 147, 105797, 2022
142022
Fourier-domain ultrasonic imaging of cortical bone based on velocity distribution inversion
Y Li, Q Shi, Y Liu, M Gu, C Liu, X Song, D Ta, W Wang
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
142021
Spectrogram decomposition of ultrasonic guided waves for cortical thickness assessment using basis learning
M Gu, Y Li, TNHT Tran, X Song, Q Shi, K Xu, D Ta
Ultrasonics 120, 106665, 2022
102022
An improved co-prime parallel array with conjugate augmentation for 2-D DOA estimation
J Li, J Zhao, Y Ding, Y Li, F Chen
IEEE Sensors Journal 21 (20), 23400-23411, 2021
102021
Long noncoding RNA GAS5 targeting miR-221-3p/cyclin-dependent kinase inhibitor 2B axis regulates follicular thyroid carcinoma cell cycle and proliferation
Y Liu, YF Li, J Liu, ZG Deng, L Zeng, WB Zhou
Pathobiology 88 (4), 289-300, 2021
102021
The ability of ultrasonic backscatter parametric imaging to characterize bovine trabecular bone
Y Li, B Li, Y Li, C Liu, F Xu, R Zhang, D Ta, W Wang
Ultrasonic imaging 41 (5), 271-289, 2019
92019
Index-rotated fast ultrasound imaging of cortical bone based on predicted velocity model
Q Shi, Y Li, Y Liu, M Gu, X Song, C Liu, D Ta, W Wang
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 69 …, 2022
42022
Deep learning for TOF extraction in bone ultrasound tomography
Q Shi, T Zhou, Y Li, C Liu, D Ta
IEEE Transactions on Computational Imaging 8, 1063-1073, 2022
32022
Cortical bone ultrasonic imaging based on accurate delay times
Q Shi, Y Li, L Shi, M Gu, Y Liu, X Liu, D Ta
2021 IEEE International Ultrasonics Symposium (IUS), 1-3, 2021
22021
Multichannel crossed convolutional neural network for combined estimation of cortical thickness and bulk velocities using ultrasonic guided waves: A simulation study
Y Li, K Xu, Y Li, B Hu, J Zhang, LH Le, D Ta
2019 IEEE International Ultrasonics Symposium (IUS), 2412-2415, 2019
22019
Frame-to-video-based Semi-supervised Lung Ultrasound Scoring Model
W Xing, Y Liu, C He, X Liu, Y Li, W Li, J Chen, D Ta
2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023
12023
A Photoacoustic Spectrum Feature Extraction Method to Characterize the Hydroxyapatite Degradation Process in Cortical Bone
B Li, T Zhou, X Liu, C Liu, TNHT Tran, Y Li, D Li, Y Li, D Bi, D Ta
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
12022
An Automatic Ultrasonic Segmentation Method by Two-stage Semi-supervised Learning Strategy
F Dai, Y Li, G Zhang, Q Shi, W Xing, X Liu, D Ta
2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022
12022
Nonlinear inversion of ultrasonic guided waves for in vivo evaluation of cortical bone properties
X Song, T Fan, J Zeng, QZ Shi, Q Huang, M Gu, P Moilanen, YF Li, D Ta
Chinese Physics B 31 (7), 074301, 2022
12022
Meta-learning analysis of ultrasonic guided waves for coated cortical bone characterization
M Gu, Y Li, Q Shi, TNHT Tran, X Song, D Li, D Ta
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022
12022
Ex-vivo ultrasonic tomography imaging of cortical bone based on velocity model prediction
Y Li, Q Shi, Y Liu, L Shi, M Gu, X Song, C Liu, D Ta
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
12021
基于混沌振子的微弱生命周期信号频率检测方法
李义方, 陈艳峰
计算机工程与科学 33 (5), 183-189, 2011
12011
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