Search Results - "Thill, Daniel"
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Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy
Published in Advances in radiation oncology (01-09-2022)“…Fast and accurate auto-segmentation on daily images is essential for magnetic resonance (MR)–guided adaptive radiation therapy (ART). However, the…”
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Deep-learning-based generation of synthetic 6-minute MRI from 2-minute MRI for use in head and neck cancer radiotherapy
Published in Frontiers in oncology (08-11-2022)“…Quick magnetic resonance imaging (MRI) scans with low contrast-to-noise ratio are typically acquired for daily MRI-guided radiotherapy setup. However, for…”
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Evaluating AI-generated CBCT-based synthetic CT images for target delineation in palliative treatments of pelvic bone metastasis at conventional C-arm linacs
Published in Radiotherapy and oncology (01-03-2024)“…•Most AI-generated CBCT based synthetic CTs were suitable for target delineation.•By visual sCT inspection, ROs predicted sufficient PTV coverage with 91 %…”
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Quality assurance assessment of intra‐acquisition diffusion‐weighted and T2‐weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy
Published in Medical physics (Lancaster) (01-04-2023)“…Background/Purpose Adequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR‐guided head and neck…”
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