21 citations · 33 across the 7 of their papers we have counts for
10 papers
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Cheng Peng, S. Kevin Zhou, Rama Chellappa
Medical image super-resolution (SR) is an active research area that has many potential applications, including reducing scan time, bettering visual understanding, increasing robust…
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB
Yuxiang Guo, Cheng Peng, Chun Pong Lau +1
Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait rec…
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling
Cheng Peng, Pengfei Guo, S. Kevin Zhou +2
Magnetic Resonance (MR) image reconstruction from under-sampled acquisition promises faster scanning time. To this end, current State-of-The-Art (SoTA) approaches leverage deep neu…
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
Xinwen Liu, Jing Wang, Cheng Peng +3
Magnetic resonance (MR) images exhibit various contrasts and appearances based on factors such as different acquisition protocols, views, manufacturers, scanning parameters, etc. T…
GAN-based disentanglement learning for chest X-ray rib suppression
Luyi Han, Yuanyuan Lyu, Cheng Peng +1
Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can improve the reliability of pulmonary disease diagnosis. However, previous approaches on generating rib-suppr…
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Yuanyuan Lyu, Jiajun Fu, Cheng Peng +1
Recently, both supervised and unsupervised deep learning methods have been widely applied on the CT metal artifact reduction (MAR) task. Supervised methods such as Dual Domain Netw…