January 19, 2021 preprint Open access Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images arXiv (Cornell University) DOI: 10.48550/arxiv.2101.07563 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 37 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 Investigating disentangled GAN latent spaces for the removal of fixture-related backgrounds in reconstructed CT images for industrial quality control applications 2024 e-Journal of Nondestructive Testing article Computer Science Generative Adversarial Networks and Image Synthesis Open access 0 citations Measurability of quality characteristics identified in latent spaces of Generative AI Models 2024 CIRP Annals article Engineering Industrial Vision Systems and Defect Detection Open access 5 citations Metrologically interpretable feature extraction for industrial machine vision using generative deep learning 2022 CIRP Annals article Engineering Industrial Vision Systems and Defect Detection 20 citations 3 results References 0