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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2021)Deep Interactive Denoiser (DID) for X-Ray Computed Tomography., , , , , , , и . IEEE Trans. Medical Imaging, 40 (11): 2965-2975 (2021)Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy., , , , , , и . CoRR, (2022)Fully Automated Organ Segmentation in Male Pelvic CT Images., , , , , , и . CoRR, (2018)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., , и . Mach. Learn. Sci. Technol., 2 (1): 15007 (2021)A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy., , , и . Mach. Learn. Sci. Technol., 2 (3): 35013 (2021)Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation., , , , , , , , , и . MICCAI (6), том 11769 из Lecture Notes in Computer Science, стр. 567-575. Springer, (2019)Case Report: Safe Teleradiology: Information Assurance as Project Planning Methodology., , , и . JAMIA, 12 (1): 84-89 (2005)Safe teleradiology: information assurance as project planning methodology., , , и . CARS, том 1256 из International Congress Series, стр. 809-814. Elsevier, (2003)Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy., , , и . IEEE Access, (2020)