Area of research
Radiology, Nuclear Medicine and Imaging · Radiation
Research interest
Research focused on Artificial intelligence and Radiomics, with related work in Retrospective cohort study, Cone beam ct, Nuclear medicine. Notable publications include 'Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy', 'Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases', and 'Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study'.
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study
TransDose: a transformer-based UNet model for fast and accurate dose calculation for MR-LINACs
Multi‐sequence MR image‐based synthetic CT generation using a generative adversarial network for head and neck MRI‐only radiotherapy
Dosiomics improves prediction of locoregional recurrence for intensity modulated radiotherapy treated head and neck cancer cases
CT to cone-beam CT deformable registration with simultaneous intensity correction