Ultrasonic guided wave imaging with deep learning: Applications in corrosion mapping X Wang, M Lin, J Li, J Tong, X Huang, L Liang, Z Fan, Y Liu Mechanical Systems and Signal Processing 169, 108761, 2022 | 66 | 2022 |
Deep learning inversion with supervision: A rapid and cascaded imaging technique J Tong, M Lin, X Wang, J Li, J Ren, L Liang, Y Liu Ultrasonics 122, 106686, 2022 | 37 | 2022 |
Guided wave tomography based on supervised descent method for quantitative corrosion imaging M Lin, Y Liu IEEE transactions on ultrasonics, ferroelectrics, and frequency control 68 …, 2021 | 37 | 2021 |
Bounds for the dynamic modulus of unidirectional composites with bioinspired staggered distributions of platelets M Qwamizadeh, M Lin, Z Zhang, K Zhou, YW Zhang Composite Structures 167, 152-165, 2017 | 22 | 2017 |
Nonlinear guided wave tomography for detection and evaluation of early-life material degradation in plates C Zhao, S Tanweer, J Li, M Lin, X Zhang, Y Liu Sensors 21 (16), 5498, 2021 | 15 | 2021 |
Transcranial ultrasound imaging with decomposition descent learning-based full waveform inversion J Tong, X Wang, J Ren, M Lin, J Li, H Sun, F Yin, L Liang, Y Liu IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 10 | 2022 |
Corrosion detection with ray-based and full-waveform guided wave tomography M Lin, C Wilkins, J Rao, Z Fan, Y Liu Nondestructive Characterization and Monitoring of Advanced Materials …, 2020 | 10 | 2020 |
Load-transfer and failure behaviors of crosslinked interfaces in collagen-mimic carbon nanotube bundles M Lin, X Sun, W Xie, Z Zhang International Journal of Mechanical Sciences 135, 376-382, 2018 | 9 | 2018 |
Ultrasonic guided wave inversion based on deep learning restoration for fingerprint recognition C Zhao, J Li, M Lin, X Chen, Y Liu IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 7 | 2022 |
Guided wave imaging based on fully connected neural network for quantitative corrosion assessment X Wang, M Lin, J Tong, L Liang, J Li, Z Zeng, Y Liu Quantitative Nondestructive Evaluation 85529, V001T11A006, 2021 | 6 | 2021 |
Microstructure-informed reduced-order modeling of fatigue initiation in a titanium skin panel subjected to thermo-mechanical loading M Lin, Y Liu, C Oskay, X Zhang AIAA SCITECH 2022 Forum, 0210, 2022 | 3 | 2022 |
Quantitative guided wave imaging with shear horizontal waves and deep convolutional descent full waveform inversion J Tong, J Li, M Lin, S Chen, G Chu, L Lv, P Zhang, Z Tang, Y Liu NDT & E International 145, 103141, 2024 | 1 | 2024 |
3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks J Ren, X Wang, C Liu, H Sun, J Tong, M Lin, J Li, L Liang, F Yin, M Xie, ... Sensors 23 (19), 8341, 2023 | 1 | 2023 |
Fast Fingerprint Authentication Based on Ultrasonic Guided Waves S Chen, C Zhao, J Li, M Lin, Z Zeng, Y Liu 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | 1 | 2023 |
Multiscale Modeling of Composite Materials under Volumetric and Interfacial Damage: Achieving Adaptive Model Order Reduction M Lin, D Brandyberry, X Zhang AIAA SCITECH 2023 Forum, 0138, 2023 | 1 | 2023 |
Accurate Thickness Inversion of Corrosion Using A1 Lamb Wave M Lin, Y Liu Quantitative Nondestructive Evaluation 85529, V001T11A012, 2021 | 1 | 2021 |
Robust Guided Wave Tomography Method for Large and Irregular Defects J Tong, M Lin, X Wang, J Ren, J Li, Y Liu Quantitative Nondestructive Evaluation 85529, V001T11A007, 2021 | 1 | 2021 |
High-Resolution Thickness Mapping with Deepfit and Lamb Guided Waves J Tong, M Lin, J Li, S Chen, Y Liu 49th Annual Review of Progress in Quantitative Nondestructive Evaluation …, 2023 | | 2023 |
Compressive Sensing and Deep Learning Enhanced Imaging Algorithm for Sparse Guided Wave Array X Wang, M Lin, J Li, D Wang, Y Liu 49th Annual Review of Progress in Quantitative Nondestructive Evaluation …, 2023 | | 2023 |
2.5-Dimensional Ultrasonic Imaging for Pipe-Like Damage X Wang, J Li, M Lin, J Tong, S Chen, Y Liu 50th Annual Review of Progress in Quantitative Nondestructive Evaluation …, 2023 | | 2023 |