SinoDAM: A Volumetric Sinogram-Based Methodology for Realistic Dataset Augmentation in Additive Manufacturing

Lecture notes in computer science 2026

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Authors: Nina Lassalle-Astis, Pascal Desbarats, Fabien Baldacci, Romain Brault
DOI: 10.1007/978-3-032-07343-3_19
Cited by: 0
References: 10

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Machine Learning in Materials Science

Publication details

Journal / source
Lecture notes in computer science
Pages
239–250
Publication date
1 January 2026
Language
EN