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Konstantinos Vrettos

Showing results (1-10 of 8) with videos related to

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International Ophthalmology|November 12, 2025
Preoperative prediction of intraoperative complications in cataract surgery: a machine learning approachMichail Angelos Gkikas, Konstantinos Vrettos, Ioannis Tsinopoulos, et al.
Pediatric Radiology|December 26, 2025
Artificial intelligence and pediatric imaging data: ethical strategies for learning and collaborationKonstantinos Vrettos, Konstantina Giouroukou, Amanda Isaac, et al.
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligenceKonstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Academic Radiology|April 2, 2025
Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning ModelKonstantinos Vrettos, Evangelia E Vassalou, Grigoria Vamvakerou, et al.
European Journal of Radiology|January 18, 2024
Generative adversarial networks for spine imaging: A critical review of current applicationsKonstantinos Vrettos, Emmanouil Koltsakis, Aristeidis H Zibis, et al.
European Journal of Radiology|October 30, 2025
Radiomics enhance the prediction of endovascular treatment success for femoropopliteal chronic total occlusions: a proof-of-concept studyKonstantinos Vrettos, Konstantina Kasioumi, Nikolaos Galanakis, et al.
European Radiology|May 28, 2026
OpenRad: a curated repository of open-access AI models for radiologyKonstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis, et al.
Computational and Structural Biotechnology Journal|September 16, 2024
BioTextQuest v2.0: An evolved tool for biomedical literature mining and concept discoveryTheodosios Theodosiou, Konstantinos Vrettos, Ismini Baltsavia, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
International Ophthalmology|November 12, 2025
Preoperative prediction of intraoperative complications in cataract surgery: a machine learning approachMichail Angelos Gkikas, Konstantinos Vrettos, Ioannis Tsinopoulos, et al.
Pediatric Radiology|December 26, 2025
Artificial intelligence and pediatric imaging data: ethical strategies for learning and collaborationKonstantinos Vrettos, Konstantina Giouroukou, Amanda Isaac, et al.
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligenceKonstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Academic Radiology|April 2, 2025
Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning ModelKonstantinos Vrettos, Evangelia E Vassalou, Grigoria Vamvakerou, et al.
European Journal of Radiology|January 18, 2024
Generative adversarial networks for spine imaging: A critical review of current applicationsKonstantinos Vrettos, Emmanouil Koltsakis, Aristeidis H Zibis, et al.
European Journal of Radiology|October 30, 2025
Radiomics enhance the prediction of endovascular treatment success for femoropopliteal chronic total occlusions: a proof-of-concept studyKonstantinos Vrettos, Konstantina Kasioumi, Nikolaos Galanakis, et al.
European Radiology|May 28, 2026
OpenRad: a curated repository of open-access AI models for radiologyKonstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis, et al.
Computational and Structural Biotechnology Journal|September 16, 2024
BioTextQuest v2.0: An evolved tool for biomedical literature mining and concept discoveryTheodosios Theodosiou, Konstantinos Vrettos, Ismini Baltsavia, et al.
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