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Patient-specific uncertainty calibration of deep learning-based autosegmentation networks for adaptive MRI-guided lung radiotherapy
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Validation of patient-specific deep learning markerless lung tumor tracking aided by 4DCBCT
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Total lesion glycolysis of primary tumor and lymphnodes is a strong predictor for development of distant metastases in oropharyngeal carcinoma patients with independent validation in automatically delineated lesions
Oropharyngeal carcinomas are characterized by an increasing incidence and a relatively good prognosis. Nonetheless, a considerable …
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Deep learning-based contour propagation in magnetic resonance imaging-guided radiotherapy of lung cancer patients
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Enhancing patient-specific deep learning based segmentation for abdominal magnetic resonance imaging-guided radiation therapy: A framework conditioned on prior segmentation
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Evaluating photon-counting computed tomography for quantitative material characteristics and material differentiation in radiotherapy
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Gadolinium oxide nanoparticles as a multimodal contrast enhancement agent for pre-clinical proton imaging
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Harmonizing organ-at-risk structure names using open-source large language models
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Implementation and clinical evaluation of an in-house thoracic auto-segmentation model for 0.35 T magnetic resonance imaging guided radiotherapy
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Real-time target localization on 1.5 T magnetic resonance imaging linac orthogonal cine images using transfer learning
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