Papers matching “deep learning segmentation models” 33
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Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy2022 Frontiers in Materials article Engineering Microstructure and Mechanical Properties of Steels Open access
Björn-Ivo Bachmann, Martin Johannes Müller, Dominik Britz, Ali Riza Durmaz, Marc Ackermann, Oleg Shchyglo, +2 more
21citations -
Unsupervised deep learning for defect detection on CT parts using simulated data2023 Research and Review Journal of Nondestructive Testing article Engineering Industrial Vision Systems and Defect Detection Open access
Virginia Florian, Christian Kretzer, Stefan Kasperl, Richard Schielein, Benjamin Montavon, Robert Heinrich Schmitt
0citations -
UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices2025 Journal of The Electrochemical Society article Engineering Fuel Cells and Related Materials Open access
André Colliard-Granero, Salvatore Ranieri, Aimy Bazylak, Tobias Morawietz, K. Andreas Friedrich, Jasna Janković, +2 more
3citations -
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward2024 IEEE Geoscience and Remote Sensing Magazine article Engineering Remote-Sensing Image Classification Open access
Devis Tuia, Konrad Schindler, Begüm Demir, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, +8 more
109citations -
Datasets from "MaskTerial: A Foundation Model for Automated 2D Material Flake Detection"2024 JuSER (Forschungszentrum Jülich) article Engineering Industrial Vision Systems and Defect Detection Open access
Jan-Lucas Uslu, Alexander Hermans, Bernd Beschoten, Bastian Leibe, Lutz Waldecker, Christoph Stampfer
0citations -
Automation of Ultrasonic Monitoring for Resistance Spot Welding Using Deep Learning2026 Journal of Manufacturing and Materials Processing article Engineering Welding Techniques and Residual Stresses Open access
Ryan Scott, Sheida Sarafan, Lukas Behnen, Andriy M. Chertov, Priti Wanjara, Roman Gr. Maev
2citations