2 papers
eess.IV2025
Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
Lijie Huang, Jingyi Yin, Jingke Zhang +15
Ultrasound microvascular imaging (UMI) is often hindered by low signal-to-noise ratio (SNR), especially in contrast-free or deep tissue scenarios, which impairs subsequent vascular…
cs.CV2025
Swin-X2S: Reconstructing 3D Shape from 2D Biplanar X-ray with Swin Transformers
Kuan Liu, Zongyuan Ying, Jie Jin +8
The conversion from 2D X-ray to 3D shape holds significant potential for improving diagnostic efficiency and safety. However, existing reconstruction methods often rely on hand-cra…