| Automated defect classification in infrared thermography based on a neural network Y Duan, S Liu, C Hu, J Hu, H Zhang, Y Yan, N Tao, C Zhang, X Maldague, ... NDT & E International 107, 102147, 2019 | 76 | 2019 |
| A method of defect depth estimation for simulated infrared thermography data with deep learning Q Fang, X Maldague Applied Sciences 10 (19), 6819, 2020 | 47 | 2020 |
| Automatic defects segmentation and identification by deep learning algorithm with pulsed thermography: Synthetic and experimental data Q Fang, C Ibarra-Castanedo, X Maldague Big Data and Cognitive Computing 5 (1), 9, 2021 | 44 | 2021 |
| Automatic defect detection in infrared thermography by deep learning algorithm Q Fang, BD Nguyen, CI Castanedo, Y Duan, X Maldague II Thermosense: Thermal Infrared Applications XLII 11409, 180-195, 2020 | 31 | 2020 |
| Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in … I Garrido, S Lagüela, Q Fang, P Arias Quantitative InfraRed Thermography Journal 20 (5), 231-255, 2023 | 22 | 2023 |
| Automated defect detection in non-planar objects using deep learning algorithms Y Tao, C Hu, H Zhang, A Osman, C Ibarra-Castanedo, Q Fang, S Sfarra, ... Journal of Nondestructive Evaluation 41 (1), 14, 2022 | 14 | 2022 |
| Defect enhancement and image noise reduction analysis using partial least square-generative adversarial networks (PLS-GANs) in thermographic nondestructive evaluation Q Fang, C Ibarra‐Castanedo, D Yuxia, J Erazo-Aux, I Garrido, ... Journal of Nondestructive Evaluation 40, 1-26, 2021 | 12 | 2021 |
| Automatic detection and identification of defects by deep learning algorithms from pulsed thermography data Q Fang, C Ibarra-Castanedo, I Garrido, Y Duan, X Maldague Sensors 23 (9), 4444, 2023 | 10 | 2023 |
| University laval infrared thermography databases for deep learning multiple types of defect detections training Q Fang, C Ibarra-Castanedo, X Maldgue Engineering Proceedings 8 (1), 32, 2021 | 4 | 2021 |
| A reliability study on automated defect assessment in optical pulsed thermography S Xiang, AM Omer, M Li, D Yang, A Osman, B Han, Z Gao, H Hu, ... Infrared Physics & Technology 134, 104878, 2023 | 3 | 2023 |
| Combination of thermal fundamentals and Deep Learning for infrastructure inspections from thermographic images. Preliminary results I Garrido, S Lagüela, Q Fang, P Arias Proceedings of the 15th Quantitative InfraRed Thermography, Porto, Portugal …, 2020 | 3 | 2020 |
| A novel approach for one-step defect detection and depth estimation using sequenced thermal signal encoding W Zheng, S Zhang, AM Omer, Z Wu, N Tao, C Zhang, D Yang, H Zhang, ... Nondestructive Testing and Evaluation, 1-16, 2024 | 1 | 2024 |
| Defect depth estimation in infrared thermography with deep learning Q Fang, X Maldague Preprints, 2021 | 1 | 2021 |
| Defect Depth Estimation in Infrared Thermography with Deep Learning Q Fang https://www.preprints.org/manuscript/202008.0565/v1, 2020 | | 2020 |
| Combination of thermal fundamentals and Deep Learning for infrastructure inspections from thermographic images. Preliminary results I Garrido González, S Lagüela López, Q Fang, P Arias Sánchez 15th Quantitative InfraRed Thermography, Oporto, Portugal, 6-10 julio 2020, 2020 | | 2020 |
| Height detection in smart baby weighing system using machine vision Q Fang, H Tang Automotive, Mechanical and Electrical Engineering, 371-374, 2017 | | 2017 |
| Automatic Crack Segmentation in Ancient Murals Using Optical Pulsed Thermography J Cui, AM Omer, N Tao, C Zhang, Q Zhang, Y Ma, Z Zhang, D Yang, ... Available at SSRN 4444961, 0 | | |
