Article-Journal

Perspectives for using artificial intelligence techniques in radiation therapy
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A direct comparison of multi-energy x-ray and proton CT for imaging and relative stopping power estimation of plastic and ex-vivo phantoms
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Artificial intelligence for treatment delivery: image-guided radiotherapy
Radiation therapy (RT) is a highly digitized field relying heavily on computational methods and, as such, has a high affinity for the …
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Minimum imaging dose for deep learning-based pelvic synthetic computed tomography generation from cone beam images
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Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac
Longitudinal assessments of apparent diffusion coefficients (ADCs) derived from diffusion-weighted imaging (DWI) during intracranial …
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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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Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
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Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images
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Evaluation of magnetic resonance thermometry performance during MR-guided hyperthermia treatment of soft-tissue sarcomas in the lower extremities and pelvis
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Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
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