Mario Soilán 
- (2024): Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models. Dans: Automation in Construction, v. 158 (février 2024).
- : LiDAR Data Processing for Digitization of the Castro of Santa Trega and Integration in Unreal Engine 5. Dans: International Journal of Architectural Heritage.
- (2023): Instance and semantic segmentation of point clouds of large metallic truss bridges. Dans: Automation in Construction, v. 151 (juillet 2023).
- (2022): Automatic Recognition and Geolocation of Vertical Traffic Signs Based on Artificial Intelligence Using a Low-Cost Mapping Mobile System. Dans: Infrastructures, v. 7, n. 10 (octobre 2022).
- (2023): Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds. Dans: Automation in Construction, v. 149 (mai 2023).
- (2022): HBIM for supporting the diagnosis of historical buildings: case study of the Master Gate of San Francisco in Portugal. Dans: Automation in Construction, v. 141 (septembre 2022).
- (2022): Point cloud semantic segmentation of complex railway environments using deep learning. Dans: Automation in Construction, v. 141 (septembre 2022).
- (2022): Road marking degradation analysis using 3D point cloud data acquired with a low-cost Mobile Mapping System. Dans: Automation in Construction, v. 141 (septembre 2022).
- (2021): Scan-to-BIM for the infrastructure domain: Generation of IFC-complaint models of road infrastructure assets and semantics using 3D point cloud data. Dans: Automation in Construction, v. 127 (juillet 2021).
- (2021): Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data. Dans: Automation in Construction, v. 126 (juin 2021).
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