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Assessing quantitative material characteristics with low dose imaging in photon-counting and dual-energy computed tomography for radiotherapy
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Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI
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Impact of patient-specific deep learning lung organs-at-risk segmentation on accumulated dose in online adaptive 0.35 T MR-guided radiotherapy
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Prospective Assessment of MR Guided Single-Fraction Stereotactic Ablative Radiation Therapy for Peripheral Lung Metastases: Dosimetric and Clinical Outcomes
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Development of a breathing lung phantom for proton CT imaging
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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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Deep learning-based synthetic-CT-free photon dose calculation in MR-guided radiotherapy: A proof-of-concept study
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