Guo, L., Trujillo, D., Duncan, J. R., & Thomas, M. A. (2025). Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images. International Journal of Computer Assisted Radiology and Surgery: A Journal for Interdisciplinary Research, Development and Applications of Image Guided Diagnosis and Therapy, 20(11), 2345-2353. https://doi.org/10.1007/s11548-025-03422-0
ISO-690 (author-date, English)GUO, Lunchi, TRUJILLO, Dennis, DUNCAN, James R. und THOMAS, M. Allan, 2025. Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images. International Journal of Computer Assisted Radiology and Surgery: A journal for interdisciplinary research, development and applications of image guided diagnosis and therapy. 1 November 2025. Vol. 20, no. 11, p. 2345-2353. DOI 10.1007/s11548-025-03422-0.
Modern Language Association 9th editionGuo, L., D. Trujillo, J. R. Duncan, und M. A. Thomas. „Training a Deep Learning Model to Predict the Anatomy Irradiated in Fluoroscopic X-Ray Images“. International Journal of Computer Assisted Radiology and Surgery: A Journal for Interdisciplinary Research, Development and Applications of Image Guided Diagnosis and Therapy, Bd. 20, Nr. 11, November 2025, S. 2345-53, https://doi.org/10.1007/s11548-025-03422-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Guo, Lunchi/Trujillo, Dennis/Duncan, James R./Thomas, M. Allan: Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images, International Journal of Computer Assisted Radiology and Surgery: A journal for interdisciplinary research, development and applications of image guided diagnosis and therapy 2025, 2345-2353.
Emerald - HarvardGuo, L., Trujillo, D., Duncan, J.R. und Thomas, M.A. (2025), „Training a deep learning model to predict the anatomy irradiated in fluoroscopic x-ray images“, International Journal of Computer Assisted Radiology and Surgery: A Journal for Interdisciplinary Research, Development and Applications of Image Guided Diagnosis and Therapy, Vol. 20 No. 11, S. 2345-2353.