Area of research
Radiology, Nuclear Medicine and Imaging · Radiation
Research interest
Research interests include Advanced Radiotherapy Techniques, Medical Imaging Techniques and Applications, Advanced X-ray and CT Imaging, and Radiomics and Machine Learning in Medical Imaging.
Comparison of proton and photon therapy in stereotactic arrhythmia radioablation for ventricular tachycardia
High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling
Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model
Cardiac MRI segmentation using block-partitioned transformer with global-local information integration
2D medical image synthesis using transformer-based denoising diffusion probabilistic model
Synthetic CT generation from MRI using 3D transformer‐based denoising diffusion model
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model
Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy
Abdomen CT multi‐organ segmentation using token‐based MLP‐Mixer
Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision
Male pelvic multi-organ segmentation using token-based transformer Vnet
Mutual enhancing learning-based automatic segmentation of CT cardiac substructure
Knowledge‐based radiation treatment planning: A data‐driven method survey
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Deep learning‐based motion tracking using ultrasound images
Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN
Echocardiographic image multi‐structure segmentation using Cardiac‐SegNet
Synthetic CT‐aided multiorgan segmentation for CBCT‐guided adaptive pancreatic radiotherapy
Male pelvic multi‐organ segmentation on transrectal ultrasound using anchor‐free mask CNN
Does size matter? Investigating the optimal planning target volume margin for postoperative stereotactic radiosurgery to resected brain metastases
Single-Isocenter Multiple-Target Stereotactic Radiosurgery: Risk of Compromised Coverage