Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete S Dorafshan, RJ Thomas, M Maguire Construction and Building Materials 186, 1031-1045, 2018 | 586 | 2018 |
SDNET2018: An annotated image dataset for non-contact concrete crack detection using deep convolutional neural networks S Dorafshan, RJ Thomas, M Maguire Data in brief 21, 1664-1668, 2018 | 228 | 2018 |
Bridge inspection: Human performance, unmanned aerial systems and automation S Dorafshan, M Maguire Journal of Civil Structural Health Monitoring 8, 443-476, 2018 | 167 | 2018 |
Fatigue crack detection using unmanned aerial systems in fracture critical inspection of steel bridges S Dorafshan, RJ Thomas, M Maguire Journal of bridge engineering 23 (10), 04018078, 2018 | 84 | 2018 |
SDNET2018: A concrete crack image dataset for machine learning applications M Maguire, S Dorafshan, RJ Thomas Utah State University, 2018 | 80 | 2018 |
Deep learning models for bridge deck evaluation using impact echo S Dorafshan, H Azari Construction and Building Materials 263, 120109, 2020 | 77 | 2020 |
Challenges in bridge inspection using small unmanned aerial systems: Results and lessons learned S Dorafshan, M Maguire, NV Hoffer, C Coopmans 2017 international conference on unmanned aircraft systems (ICUAS), 1722-1730, 2017 | 76 | 2017 |
Evaluation of bridge decks with overlays using impact echo, a deep learning approach S Dorafshan, H Azari Automation in Construction 113, 103133, 2020 | 75 | 2020 |
Deep learning neural networks for sUAS-assisted structural inspections: Feasibility and application S Dorafshan, RJ Thomas, C Coopmans, M Maguire 2018 international conference on unmanned aircraft systems (ICUAS), 874-882, 2018 | 69 | 2018 |
Automatic surface crack detection in concrete structures using OTSU thresholding and morphological operations S Dorafshan, M Maguire, X Qi | 63 | 2016 |
Benchmarking image processing algorithms for unmanned aerial system-assisted crack detection in concrete structures S Dorafshan, RJ Thomas, M Maguire Infrastructures 4 (2), 19, 2019 | 58 | 2019 |
Effectiveness of infrared thermography for delamination detection in reinforced concrete bridge decks E Ichi, S Dorafshan Automation in Construction 142, 104523, 2022 | 39 | 2022 |
Fatigue crack detection using unmanned aerial systems in under-bridge inspection S Dorafshan, M Maguire, NV Hoffer, C Coopmans Idaho Transportation Department, 2017 | 30 | 2017 |
A method for rapid estimation of dynamic coupling and spectral responses of connected adjacent structures F Behnamfar, S Dorafshan, A Taheri, B Hosseini Hashemi The Structural Design of Tall and Special Buildings 25 (13), 605-625, 2016 | 28 | 2016 |
Comparing automated image-based crack detection techniques in the spatial and frequency domains S Dorafshan, M Maguire, M Chang 26th ASNT Research Symposium, 34-42, 2017 | 23 | 2017 |
Thermal evaluation of common locations of heat loss in sandwich wall panels T Sorensen, S Dorafshan, M Maguire Congress on Technical Advancement 2017, 173-184, 2017 | 19 | 2017 |
SDNET2021: Annotated NDE Dataset for Subsurface Structural Defects Detection in Concrete Bridge Decks E Ichi, F Jafari, S Dorafshan Infrastructures 7 (9), 107, 2022 | 17* | 2022 |
A practitioner’s guide to small unmanned aerial systems for bridge inspection S Dorafshan, RJ Thomas, C Coopmans, M Maguire Infrastructures 4 (4), 72, 2019 | 17 | 2019 |
Infrared thermography for weld inspection: feasibility and application S Dorafshan, M Maguire, W Collins Infrastructures 3 (4), 45, 2018 | 17 | 2018 |
Autonomous detection of concrete cracks on bridge decks and fatigue cracks on steel members S Dorafshan, M Maguire Proceedings of Digital Imaging, 2017 | 15 | 2017 |