20 citations · 22 across the 9 of their papers we have counts for
10 papers
FSANet: Frequency-Spatial Aware Network for Image Segmentation
Ruibo Wang, Ziyi Shen, Huaming Wu +2
Image segmentation remains challenging due to occlusions, poor lighting, and irregular structures. Although transformer-based methods achieve high accuracy, they rely heavily on lo…
Vision-Language Models for Automated 3D PET/CT Report Generation
Wenpei Jiao, Kun Shang, Hui Li +8
Positron emission tomography/computed tomography (PET/CT) is essential in oncology, yet the rapid expansion of scanners has outpaced the availability of trained specialists, making…
Integer Binary-Range Alignment Neuron for Spiking Neural Networks
Binghao Ye, Wenjuan Li, Dong Wang +5
Spiking Neural Networks (SNNs) are noted for their brain-like computation and energy efficiency, but their performance lags behind Artificial Neural Networks (ANNs) in tasks like i…
Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning
Linhao Li, Changhui Su, Yu Guo +3
Contrast-enhanced magnetic resonance imaging (CE-MRI) is crucial for tumor detection and diagnosis, but the use of gadolinium-based contrast agents (GBCAs) in clinical settings rai…
Realistic Restorer: artifact-free flow restorer(AF2R) for MRI motion artifact removal
Jiandong Su, Kun Shang, Dong Liang
Motion artifact is a major challenge in magnetic resonance imaging (MRI) that severely degrades image quality, reduces examination efficiency, and makes accurate diagnosis difficul…
RetinexFlow for CT metal artifact reduction
Jiandong Su, Ce Wang, Yinsheng Li +2
Metal artifacts is a major challenge in computed tomography (CT) imaging, significantly degrading image quality and making accurate diagnosis difficult. However, previous methods e…
Active CT Reconstruction with a Learned Sampling Policy
Ce Wang, Kun Shang, Haimiao Zhang +3
Computed tomography (CT) is a widely-used imaging technology that assists clinical decision-making with high-quality human body representations. To reduce the radiation dose posed…
DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction
Ce Wang, Kun Shang, Haimiao Zhang +3
While Computed Tomography (CT) reconstruction from X-ray sinograms is necessary for clinical diagnosis, iodine radiation in the imaging process induces irreversible injury, thereby…
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Ce Wang, Haimiao Zhang, Qian Li +4
Computed tomography (CT) reconstruction from X-ray projections acquired within a limited angle range is challenging, especially when the angle range is extremely small. Both analyt…
Label-Removed Generative Adversarial Networks Incorporating with K-Means
Ce Wang, Zhangling Chen, Kun Shang
Generative Adversarial Networks (GANs) have achieved great success in generating realistic images. Most of these are conditional models, although acquisition of class labels is exp…