December 01, 2021 article Open access Deep Learning for automated phase segmentation in EBSD maps. A case study in Dual Phase steel microstructures Materials Characterization DOI: 10.1016/j.matchar.2021.111638 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 57 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning 2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access 7 citations Automatic Detection of Dendritic Microstructure Using Computer Vision Deep Learning Models Trained with Phase Field Simulations 2025 Integrating materials and manufacturing innovation article Materials Science Solidification and crystal growth phenomena Open access 7 citations Automated segmentation of large image datasets using artificial intelligence for microstructure characterisation and damage analysis 2024 Materials & Design article Computer Science Advanced Neural Network Applications Open access 16 citations 3 results References 0