Area of research
Computer Vision and Pattern Recognition · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Artificial intelligence, Medicine, Segmentation, Computer vision, Prostate cancer, and Prostate.
Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction
Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI
MRI‐based prostate volume‐adjusted prostate‐specific antigen in the diagnosis of prostate cancer
Automated bone segmentation from dental CBCT images using patch‐based sparse representation and convex optimization
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation
Prostate Volumes Derived From MRI and Volume-Adjusted Serum Prostate-Specific Antigen: Correlation With Gleason Score of Prostate Cancer