4 citations · 16 across the 12 of their papers we have counts for
26 papers
Super resolution dual-energy cone-beam CT imaging with dual-layer flat-panel detector
Ting Su, Jiongtao Zhu, Xin Zhang +7
For medical cone-beam computed tomography (CBCT) imaging, the native receptor array of the flat-panel detector (FPD) is usually binned into a reduced matrix size. By doing so, the…
CMOS based high-resolution dynamic X-ray imaging with inorganic perovskite
Yanliang Liu, Chaosong Gao, Jiongtao Zhu +13
High-resolution dynamic X-ray detector is crucial for time-resolved digital radiography (DR) imaging and fast 3D medical computed tomography (CT) imaging. Recently, perovskites hav…
Dual-domain Attention-based Deep Network for Sparse-view CT Artifact Reduction
Xiang Gao, Ting Su, Jiongtao Zhu +7
Due to the wide applications of X-ray computed tomography (CT) in medical imaging activities, radiation exposure has become a major concern for public health. Sparse-view CT is a p…
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
Chen Hu, Cheng Li, Haifeng Wang +3
Image reconstruction from undersampled k-space data plays an important role in accelerating the acquisition of MR data, and a lot of deep learning-based methods have been exploited…
High temporal resolution total-body dynamic PET imaging based on pixel-level time-activity curve correction
Zixiang Chen, Yaping Wu, Na Zhang +5
Dynamic positron emission tomography (dPET) is currently a widely used medical imaging technique for the clinical diagnosis, staging and therapy guidance of all kinds of human canc…
Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network
Kehan Qi, Haoran Li, Chuyu Rong +4
Image Quality Assessment (IQA) is of great value in the workflow of Magnetic Resonance Imaging (MRI)-based analysis. Blind IQA (BIQA) methods are especially required since high-qua…