1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 1 cited
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation
Xutao Guo, Yanwu Yang, Chenfei Ye +3
Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise…
eess.IV2021★ 1 cited
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net
Yanwu Yang, Xutao Guo, Yiwei Pan +3
Accurate medical image segmentation is crucial for diagnosis and analysis. However, the models without calibrated uncertainty estimates might lead to errors in downstream analysis…
eess.IV2021
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Yang Yang, Jiancong Chen, Ruixuan Wang +5
Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images. Due to the nature…