Deep-Learning

SynthRAD2025 Grand Challenge dataset: Generating synthetic CTs for radiotherapy from head to abdomen
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Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images
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A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
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Deep learning based super-resolution for CBCT dose reduction in radiotherapy
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Patient-specific deep learning tracking framework for real-time 2D target localization in MRI-guided radiotherapy
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Intra-frame motion deterioration effects and deep-learning-based compensation in MR-guided radiotherapy
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Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: A bi-centric evaluation
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Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate 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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