Àlex Solé Gómez, Leonardo Scandolo, Elmar Eisemann (2022), A learning approach for river debris detection, In International Journal of Applied Earth Observation and Geoinformation Volume 107 p.1-10.

L. Scandolo, E. Eisemann (2021), Directed Acyclic Graph Encoding for Compressed Shadow Maps, N. Binder, T. Ritschel (Eds.), In Proceedings High-Performance Graphics (2021).

Jop Vermeer, Leonardo Scandolo, Elmar Eisemann (2021), Stochastic-Depth Ambient Occlusion, In Proceedings of the ACM on Computer Graphics and Interactive Techniques Volume 4 p.3:1 - 3:15.

Xuejiao Luo, Leonardo Scandolo, Elmar Eisemann (2021), Texture Browser: Feature-based Texture Exploration, In Computer Graphics Forum Volume 40 p.99-109.

R.M. van der Laan, L. Scandolo, E. Eisemann (2020), Lossy Geometry Compression for High Resolution Voxel Scenes, In Proceedings of the ACM on Computer Graphics and Interactive Techniques Volume 3.

B. Usta, L. Scandolo, M. Billeter, R. Marroquim, E. Eisemann (2019), A Practical and Efficient Approach for Correct Z-Pass Stencil Shadow Volumes, M. Steinberger, T. Foley (Eds.), In High-Performance Graphics - Short Papers p.45-49, The Eurographics Association.

Leonardo Scandolo (2019), Image-based representations for efficient rendering and editing, PhD Thesis Delft University of Technology.

Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt (2019), The reduced immersed method for real-time fluid-elastic solid interaction and contact simulation, In ACM Transactions on Graphics Volume 38.

Leonardo Scandolo, Pablo Bauszat, Elmar Eisemann (2018), Gradient-Guided Local Disparity Editing, In Computer Graphics Forum p.394-404.

Christopher Brandt, Leonardo Scandolo, Elmar Eisemann, Klaus Hildebrandt (2018), Modeling n-Symmetry Vector Fields using Higher-Order Energies, In ACM Transactions on Graphics Volume 37 p.1-18.