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Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
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Scatter correction of 4D cone beam computed tomography to detect dosimetric effects due to anatomical changes in proton therapy for lung cancer
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ScatterNet for projection-based 4D cone-beam CT intensity correction of lung cancer patients
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Simultaneous object detection and segmentation for patient-specific markerless lung tumor tracking in simulated radiographs with deep learning
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Validation of an MR-based multimodal method for molecular composition and proton stopping power ratio determination using ex vivo animal tissues and tissue-mimicking phantoms
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Ventilation and perfusion MRI at a 0.35 T MR-Linac: feasibility and reproducibility study
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Virtual 4DCT generated from 4DMRI in gated particle therapy: phantom validation and application to lung cancer patients
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18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
Quantitative image analysis based on radiomic feature extraction is an emerging field for survival prediction in oncological patients. …
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Dosimetric benefit of MR-guided online adaptive radiotherapy in different tumor entities: liver, lung, abdominal lymph nodes, pancreas and prostate
Hybrid magnetic resonance (MR)-Linac systems have recently been introduced into clinical practice. The systems allow online adaption of …
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18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization
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