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.
Real-time volumetric CBCT reconstruction using surface and X-ray imaging for image-guided radiotherapy.
Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model
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 in MRI‐guided radiation therapy: A systematic review
Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy.
Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning
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
Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning.
Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision.
Multi-organ auto-delineation in head-and-neck MRI for radiation therapy using regional convolutional neural network.
Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
Learning-based synthetic dual energy CT imaging from single energy CT for stopping power ratio calculation in proton radiation therapy.
Automatic inverse treatment planning of Gamma Knife radiosurgery via deep reinforcement learning.
Dosimetric Uncertainties in Dominant Intraprostatic Lesion Simultaneous Boost Using Intensity Modulated Proton Therapy.
A review of deep learning based methods for medical image multi-organ segmentation
A review on medical imaging synthesis using deep learning and its clinical applications.
A review of deep learning based methods for medical image multi-organ segmentation.
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching
Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R-CNN.
Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy
Automated delineation of head and neck organs at risk using synthetic MRI‐aided mask scoring regional convolutional neural network
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy.
Synthetic dual-energy CT for MRI-only based proton therapy treatment planning using label-GAN
Automated delineation of head and neck organs at risk using synthetic MRI-aided mask scoring regional convolutional neural network.
Synthetic CT‐aided multiorgan segmentation for CBCT‐guided adaptive pancreatic radiotherapy