January 09, 2026 article Open access Trustworthy AI-based crack-tip segmentation using domain-guided explanations Machine Learning Science and Technology DOI: 10.1088/2632-2153/ae3660 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 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 Automatic detection of fatigue crack paths using digital image correlation and convolutional neural networks 2021 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access cited by 6 patents 67 citations Explainable machine learning for precise fatigue crack tip detection 2022 Scientific Reports article Engineering Fatigue and fracture mechanics Open access cited by 3 patents 44 citations High‐stress fatigue crack propagation in thin AA2024‐T3 sheet material 2020 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access cited by 1 patent 14 citations Next generation fatigue crack growth experiments of aerospace materials 2024 Scientific Reports article Engineering Fatigue and fracture mechanics Open access 10 citations 4 results