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A Systematic Review of Tensor analysis models for high-dimensional computer vision tasks: Methods, Architectures, and Future Research DirectionsHigh-dimensional computer vision tasks such as hyperspectral imaging, video understanding, 3D reconstruction, a0citations
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Generative AI in industrial machine vision: a review2025 Journal of Intelligent Manufacturing article Engineering Industrial Vision Systems and Defect Detection Open access
Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, Jonas Werheid, Hannes Behnen, Jan-Henrik Woltersmann, +4 more
33citations -
Generative AI in Industrial Machine Vision -- A Review2024 arXiv (Cornell University) preprint Engineering Industrial Vision Systems and Defect Detection Open access
Hans Aoyang Zhou, Dominik Wolfschläger, Constantinos Florides, Jonas Werheid, Hannes Behnen, Jan-Henrik Woltersmann, +4 more
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Demonstrating computer vision to small‐ and medium‐sized enterprises in manufacturing: Toward overcoming costs and implementation challenges2024 Engineering Reports article Engineering Industrial Vision Systems and Defect Detection Open access
Jonas Werheid, Sven Münker, Nils Klasen, Tobias Hamann, Anas Abdelrazeq, Robert Heinrich Schmitt
5citations -
Apple Vision Pro for Healthcare: "The Ultimate Display"? -- Entering the Wonderland of Precision Medicine2023 arXiv (Cornell University) preprint Medicine Artificial Intelligence in Healthcare and Education Open access
Jan Egger, Christina Gsaxner, Xiaojun Chen, Jiang Bian, Jens Kleesiek, Behrus Puladi
7citations -
Leveraging Vision Transformers with Hyperparameter Optimization for the Classification of Acute Respiratory Distress Syndrome2025 MIPRO ICT and Electronics Convention (MIPRO) conference-paper Medicine COVID-19 diagnosis using AI
Josefine Busch, Chadi Barakat, T. Pauli, Simon Fonck, André Stollenwerk, Sebastian Johannes Fritsch, +1 more
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Hallucination filtering in radiology vision-language models using discrete semantic entropy2026 European Radiology article Computer Science Adversarial Robustness in Machine Learning Open access
Patrick Wienholt, Sophie Caselitz, Robert Malte Siepmann, Philipp Bruners, Keno K. Bressem, Christiane Katharina Kuhl, +3 more
0citations