Amir Rezaie 
- : Uncertainty quantification for a deep learning models for image-based crack segmentation. Dans: Journal of Civil Structural Health Monitoring.
- (2025): Topological data analysis-based damage indices for plastered stone masonry walls under cyclic loading. Dans: Engineering Structures, v. 322 (janvier 2025).
- (2022): Machine-learning for damage assessment of rubble stone masonry piers based on crack patterns. Dans: Automation in Construction, v. 140 (août 2022).
- (2021): Investigating the cracking of plastered stone masonry walls under shear–compression loading. Dans: Construction and Building Materials, v. 306 (novembre 2021).
- (2020): Comparison of crack segmentation using digital image correlation measurements and deep learning. Dans: Construction and Building Materials, v. 261 (novembre 2020).
- (2020): Sensitivity analysis of fractal dimensions of crack maps on concrete and masonry walls. Dans: Automation in Construction, v. 117 (septembre 2020).
- (2020): Experimental investigation of strength, stiffness and drift capacity of rubble stone masonry walls. Dans: Construction and Building Materials, v. 251 (août 2020).
- (2018): Soil-buried wave barriers for vibration control of structures subjected to vertically incident shear waves. Dans: Soil Dynamics and Earthquake Engineering, v. 109 (juin 2018).
- (2020): Topology Optimization of Wave Barriers for Mitigation of Vertical Component of Seismic Ground Motions. Dans: Journal of Earthquake Engineering, v. 24, n. 1 ( 2020).
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