Ioannis Brilakis 
- (2024): Connectivity detection for automatic construction of building geometric digital twins. In: Automation in Construction, v. 159 (März 2024).
- (2023): Dense 3D Reconstruction of Building Scenes by AI-Based Camera–Lidar Fusion and Odometry. In: Journal of Computing in Civil Engineering, v. 37, n. 4 (Juli 2023).
- (2023): ConSLAM: Construction Data Set for SLAM. In: Journal of Computing in Civil Engineering, v. 37, n. 3 (Mai 2023).
- (2023): 3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 176, n. 1 (1 März 2023).
- (2022): Construction schedule risk analysis – a hybrid machine learning approach. In: Journal of Information Technology in Construction, v. 27 (Januar 2022).
- (2022): Analysis of User Needs in Time-Related Risk Management for Holistic Project Understanding. In: Journal of Construction Engineering and Management, v. 148, n. 4 (April 2022).
- (2021): Automated optimum visualization system for construction drawing reading. In: Journal of Information Technology in Construction, v. 26 (Januar 2021).
- (2021): CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities. In: Journal of Construction Engineering and Management, v. 147, n. 11 (November 2021).
- (2021): Comparing Natural Language Processing Methods to Cluster Construction Schedules. In: Journal of Construction Engineering and Management, v. 147, n. 10 (Oktober 2021).
- (2020): Building Information Modelling, Artificial Intelligence and Construction Tech. In: Developments in the Built Environment, v. 4 (November 2020).
- (2020): Detection of Railway Masts in Airborne LiDAR Data. In: Journal of Construction Engineering and Management, v. 146, n. 9 (September 2020).
- (2019): A Benchmarked Framework for Geometric Digital Twinning of Slab and Beam-and-Slab Bridges. In: Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, v. 172, n. 1 (März 2019).
- (2019): Detection of Structural Components in Point Clouds of Existing RC Bridges. In: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 3 (Februar 2019).
- (2019): Digital twinning of existing reinforced concrete bridges from labelled point clusters. In: Automation in Construction, v. 105 (September 2019).
- (2019): Adaptive computer vision-based 2D tracking of workers in complex environments. In: Automation in Construction, v. 103 (Juli 2019).
- (2017): Automated Detection of Multiple Pavement Defects. In: Journal of Computing in Civil Engineering, v. 31, n. 2 (März 2017).
- (2014): Civil Engineering Grand Challenges: Opportunities for Data Sensing, Information Analysis, and Knowledge Discovery. In: Journal of Computing in Civil Engineering, v. 28, n. 4 (Juli 2014).
- (2009): Comparison of Optical Sensor-Based Spatial Data Collection Techniques for Civil Infrastructure Modeling. In: Journal of Computing in Civil Engineering, v. 23, n. 3 (Mai 2009).
- (2010): Concrete Column Recognition in Images and Videos. In: Journal of Computing in Civil Engineering, v. 24, n. 6 (November 2010).
- (2013): Automated Pothole Distress Assessment Using Asphalt Pavement Video Data. In: Journal of Computing in Civil Engineering, v. 27, n. 4 (Juli 2013).
- (2015): Automated Brick Counting for Façade Construction Progress Estimation. In: Journal of Computing in Civil Engineering, v. 29, n. 6 (November 2015).
- (2011): Data-Fusion Approaches and Applications for Construction Engineering. In: Journal of Construction Engineering and Management, v. 137, n. 10 (Oktober 2011).
- (2013): Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure. In: Journal of Construction Engineering and Management, v. 139, n. 1 (Januar 2013).
- (2017): Automated re-prefabrication system for buildings using robotics. In: Automation in Construction, v. 83 (November 2017).
- (2011): Comparative study of vision tracking methods for tracking of construction site resources. In: Automation in Construction, v. 20, n. 7 (November 2011).
- (2016): Continuous localization of construction workers via integration of detection and tracking. In: Automation in Construction, v. 72 (Dezember 2016).
- (2005): Content-Based Search Engines for construction image databases. In: Automation in Construction, v. 14, n. 4 (August 2005).
- (2012): Construction worker detection in video frames for initializing vision trackers. In: Automation in Construction, v. 28 (Dezember 2012).
- (2015): Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations. In: Journal of Structural Engineering (ASCE), v. 141, n. 9 (September 2015).
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