activity
20182022
most citedUncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV20221 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.IV2022

Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification

Yanwu Yang, Xutao Guo, Zhikai Chang +3

Multi-modal neuroimaging technology has greatlly facilitated the efficiency and diagnosis accuracy, which provides complementary information in discovering objective disease biomar…

eess.IV2022

Estimating Brain Age with Global and Local Dependencies

Yanwu Yang, Xutao Guo, Zhikai Chang +4

The brain age has been proven to be a phenotype of relevance to cognitive performance and brain disease. Achieving accurate brain age prediction is an essential prerequisite for op…

eess.IV20211 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…

cs.CV2018

SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction

Zhihao Fang, He Ma, Xuemin Zhu +2

3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects. Conventional algorithms can…