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Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography (CBCT) to computed tomography (CT) image conversion., , und . Mach. Learn. Sci. Technol., 2 (1): 15007 (2021)Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation., , , , , , , , , und . MICCAI (6), Volume 11769 von Lecture Notes in Computer Science, Seite 567-575. Springer, (2019)Deep Interactive Denoiser (DID) for X-Ray Computed Tomography., , , , , , , und . IEEE Trans. Medical Imaging, 40 (11): 2965-2975 (2021)Safe teleradiology: information assurance as project planning methodology., , , und . CARS, Volume 1256 von International Congress Series, Seite 809-814. Elsevier, (2003)SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems., , , und . WCNC, Seite 1248-1252. IEEE, (2014)Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy., , , und . IEEE Access, (2020)Application of deep neural networks for automatic planning in radiation oncology treatments., , , , , , und . ESANN, (2019)Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion., , und . CoRR, (2020)Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients., , , , und . CoRR, (2023)Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study., , , , , , , und . Sensors, 22 (11): 4058 (2022)