Mohammad R. Jahanshahi 
- (2023): Deep Learning-Based RGB-D Fusion for Multimodal Condition Assessment of Civil Infrastructure. In: Journal of Computing in Civil Engineering, v. 37, n. 4 (July 2023).
- (2022): Deep Learning–Based Building Attribute Estimation from Google Street View Images for Flood Risk Assessment Using Feature Fusion and Task Relation Encoding. In: Journal of Computing in Civil Engineering, v. 36, n. 6 (November 2022).
- (2010): Multi-image stitching and scene reconstruction for evaluating defect evolution in structures. In: Structural Health Monitoring, v. 10, n. 6 (November 2010).
- (2017): Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection. In: Structural Health Monitoring, v. 17, n. 5 (October 2017).
- (2017): A texture-Based Video Processing Methodology Using Bayesian Data Fusion for Autonomous Crack Detection on Metallic Surfaces. In: Computer-Aided Civil and Infrastructure Engineering, v. 32, n. 4 (March 2017).
- (2020): Deep learning‐based multi‐class damage detection for autonomous post‐disaster reconnaissance. In: Structural Control and Health Monitoring, v. 27, n. 4 (January 2020).
- (2020): Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos. In: Journal of Computing in Civil Engineering, v. 34, n. 1 (January 2020).
- (2019): Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification. In: Journal of Engineering Mechanics (ASCE), v. 145, n. 1 (January 2019).
- (2019): Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 5 (April 2019).
- (2019): An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform. In: Structural Control and Health Monitoring, v. 26, n. 1 (January 2019).
- (2017): Accurate and Robust Scene Reconstruction in the Presence of Misassociated Features for Aerial Sensing. In: Journal of Computing in Civil Engineering, v. 31, n. 6 (November 2017).
- (2013): Parametric Performance Evaluation of Wavelet-Based Corrosion Detection Algorithms for Condition Assessment of Civil Infrastructure Systems. In: Journal of Computing in Civil Engineering, v. 27, n. 4 (July 2013).
- (2013): Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor. In: Journal of Computing in Civil Engineering, v. 27, n. 6 (November 2013).
- (2017): Color and depth data fusion using an RGB-D sensor for inexpensive and contactless dynamic displacement-field measurement. In: Structural Control and Health Monitoring, v. 24, n. 11 (November 2017).
- (2018): Color and depth data fusion using an RGB-D sensor for inexpensive and contactless dynamic displacement-field measurement. In: Structural Control and Health Monitoring, v. 25, n. 7 (July 2018).
- (2012): Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures. In: Automation in Construction, v. 22 (March 2012).
- (2018): Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks. In: Automation in Construction, v. 91 (July 2018).
- (2017): Vision-based quantitative assessment of microcracks on reactor internal components of nuclear power plants. In: Structure and Infrastructure Engineering, v. 13, n. 8 (November 2017).
- (2009): A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures. In: Structure and Infrastructure Engineering, v. 5, n. 6 (December 2009).
- (2017): 3D dynamic displacement-field measurement for structural health monitoring using inexpensive RGB-D based sensor. In: Smart Materials and Structures, v. 26, n. 12 (December 2017).
- (2013): A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation. In: Smart Materials and Structures, v. 22, n. 3 (March 2013).
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