Latest

• Impact of patient-specific deep learning lung organs-at-risk segmentation on accumulated dose in online adaptive 0.35 T MR-guided radiotherapy
• Auto-segmentation of pelvic organs at risk on 0.35T MRI using 2D and 3D Generative Adversarial Network models
• Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer
• Personalized deep learning auto-segmentation models for adaptive fractionated magnetic resonance-guided radiation therapy of the abdomen
• Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
• Prior knowledge based deep learning auto-segmentation in magnetic resonance imaging-guided radiotherapy of prostate cancer
• ScatterNet for projection-based 4D cone-beam CT intensity correction of lung cancer patients
• Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating
• Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer