Area of research
Radiation · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Microvesicles and Linear particle accelerator, with related work in Prostate, Artificial intelligence, Radioluminescence. Notable publications include 'Cancer associated fibroblasts secreted exosomal miR-1290 contributes to prostate cancer cell growth and metastasis via targeting GSK3β', 'Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications', and 'Visualizing the Invisible in Prostate Radiation Therapy: Markerless Prostate Target Localization Via a Deep Learning Model and Monoscopic Kv Projection X-Ray Image'.
Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications
Cancer associated fibroblasts secreted exosomal miR-1290 contributes to prostate cancer cell growth and metastasis via targeting GSK3β
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
Visualizing the Invisible in Prostate Radiation Therapy: Markerless Prostate Target Localization Via a Deep Learning Model and Monoscopic Kv Projection X-Ray Image