| NB-CNN: Deep learning-based crack detection using convolutional neural network and Naïve Bayes data fusion FC Chen, MR Jahanshahi IEEE Transactions on Industrial Electronics 65 (5), 4392-4400, 2018 | 810 | 2018 |
| An innovative methodology for detection and quantification of cracks through incorporation of depth perception MR Jahanshahi, SF Masri, CW Padgett, GS Sukhatme Machine vision and applications 24 (2), 227-241, 2013 | 283 | 2013 |
| Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection DJ Atha, MR Jahanshahi Structural Health Monitoring 17 (5), 1110-1128, 2018 | 270 | 2018 |
| Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks SS Kumar, DM Abraham, MR Jahanshahi, T Iseley, J Starr Automation in Construction 91, 273-283, 2018 | 205 | 2018 |
| A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures MR Jahanshahi, JS Kelly, SF Masri, GS Sukhatme Structure and Infrastructure Engineering 5 (6), 455-486, 2009 | 181 | 2009 |
| Unsupervised approach for autonomous pavement-defect detection and quantification using an inexpensive depth sensor MR Jahanshahi, F Jazizadeh, SF Masri, B Becerik-Gerber Journal of Computing in Civil Engineering 27 (6), 743-754, 2013 | 150 | 2013 |
| A texture‐based video processing methodology using Bayesian data fusion for autonomous crack detection on metallic surfaces FC Chen, MR Jahanshahi, RT Wu, C Joffe Computer‐Aided Civil and Infrastructure Engineering 32 (4), 271-287, 2017 | 148 | 2017 |
| Data fusion approaches for structural health monitoring and system identification: past, present, and future RT Wu, MR Jahanshahi Structural Health Monitoring 19 (2), 552-586, 2020 | 141 | 2020 |
| Deep convolutional neural network for structural dynamic response estimation and system identification RT Wu, MR Jahanshahi Journal of Engineering Mechanics 145 (1), 04018125, 2019 | 136 | 2019 |
| A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation MR Jahanshahi, SF Masri Smart materials and structures 22 (3), 035019, 2013 | 119 | 2013 |
| Deep learning–based automated detection of sewer defects in CCTV videos SS Kumar, M Wang, DM Abraham, MR Jahanshahi, T Iseley, JCP Cheng Journal of Computing in Civil Engineering 34 (1), 04019047, 2020 | 106 | 2020 |
| Multi-image stitching and scene reconstruction for evaluating defect evolution in structures MR Jahanshahi, SF Masri, GS Sukhatme Structural Health Monitoring 10 (6), 643-657, 2011 | 88 | 2011 |
| Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures RT Wu, A Singla, MR Jahanshahi, E Bertino, BJ Ko, D Verma Computer‐Aided Civil and Infrastructure Engineering 34 (9), 774-789, 2019 | 84 | 2019 |
| Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance T Ghosh Mondal, MR Jahanshahi, RT Wu, ZY Wu Structural Control and Health Monitoring 27 (4), e2507, 2020 | 83 | 2020 |
| Autonomous pavement condition assessment MR Jahanshahi, FJ Karimi, SF Masri, B Becerik-Gerber US Patent 9,196,048, 2015 | 81 | 2015 |
| Inexpensive multimodal sensor fusion system for autonomous data acquisition of road surface conditions YL Chen, MR Jahanshahi, P Manjunatha, WP Gan, M Abdelbarr, SF Masri, ... IEEE Sensors Journal 16 (21), 7731-7743, 2016 | 64 | 2016 |
| Image-based crack quantification MR Jahanshahi, S Masri US Patent 9,235,902, 2016 | 50 | 2016 |
| 3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor M Abdelbarr, YL Chen, MR Jahanshahi, SF Masri, WM Shen, UA Qidwai Smart materials and structures 26 (12), 125016, 2017 | 49 | 2017 |
| An evaluation of image‐based structural health monitoring using integrated unmanned aerial vehicle platform MA Akbar, U Qidwai, MR Jahanshahi Structural Control and Health Monitoring 26 (1), e2276, 2019 | 46 | 2019 |
| Parametric performance evaluation of wavelet-based corrosion detection algorithms for condition assessment of civil infrastructure systems MR Jahanshahi, SF Masri Journal of Computing in Civil Engineering 27 (4), 345-357, 2013 | 44 | 2013 |
Sami F. MasriProfessor of Civil and Environmental Engineering, University of Southern CaliforniaVerified email at usc.edu
