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Radiomic feature reproducibility across CT protocols is limited by sensitivity to acquisition and reconstruction parameters. This work investigates whether standard physical image quality (IQ) metrics can quantitatively predict r...

Adaptive replanning in head and neck (H&N) radiotherapy can be resource-intensive and can also disrupt clinical workflow. We developed and validated a machine learning model that combines dosiomics and clinical features to predic...

The nutritional status of head and neck cancer (HNC) patients receiving radiotherapy often declines due to treatment-related side effects. This study characterizes the effect of baseline body mass index (BMI) on overall survival...