February 01, 2019 article Open access High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel Microscopy and Microanalysis DOI: 10.1017/s1431927618015635 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 210 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 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 Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy 2022 Frontiers in Materials article Engineering Microstructure and Mechanical Properties of Steels Open access 21 citations Theory-training deep neural networks for an alloy solidification benchmark problem 2020 Computational Materials Science article Physics and Astronomy Model Reduction and Neural Networks 39 citations 3 results References 0