2 citations · 2 across the 5 of their papers we have counts for
5 papers
SpectMamba: Integrating Frequency and State Space Models for Enhanced Medical Image Detection
Yao Wang, Dong Yang, Zhi Qiao +3
Abnormality detection in medical imaging is a critical task requiring both high efficiency and accuracy to support effective diagnosis. While convolutional neural networks (CNNs) a…
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning
Zhi Qiao, Xuhui Liu, Xiaopeng Wang +4
Intraoperative CT imaging serves as a crucial resource for surgical guidance; however, it may not always be readily accessible or practical to implement. In scenarios where CT imag…
HYDEN: Hyperbolic Density Representations for Medical Images and Reports
Zhi Qiao, Linbin Han, Xiantong Zhen +2
In light of the inherent entailment relations between images and text, hyperbolic point vector embeddings, leveraging the hierarchical modeling advantages of hyperbolic space, have…
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays
Zhi Qiao, Hanqiang Ouyang, Dongheng Chu +4
For surgical planning and intra-operation imaging, CT reconstruction using X-ray images can potentially be an important alternative when CT imaging is not available or not feasible…
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Xuhui Liu, Zhi Qiao, Runkun Liu +5
Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed 3D images of the human body. However, performing CT scans is not always feasible due t…