1 code implementation • 25 May 2023 • Pengcheng Shi, Xutao Guo, Yanwu Yang, Chenfei Ye, Ting Ma
Motivated by the successful breakthroughs of graph neural networks (GNN) in capturing topological properties and non-Euclidean relationships across various fields, we propose NexToU, a novel hybrid architecture for medical image segmentation.
no code implementations • 27 Oct 2022 • Xutao Guo, Yanwu Yang, Chenfei Ye, Shang Lu, Yang Xiang, Ting Ma
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 uncertainty maps of the segmentation and allows an implicit ensemble of segmentations to boost the segmentation performance.
no code implementations • 25 Oct 2022 • Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma
Graph neural networks have been proven to be of great importance in modeling brain connectome networks and relating disease-specific patterns.
no code implementations • 19 Sep 2022 • Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, Ting Ma
The brain age has been proven to be a phenotype of relevance to cognitive performance and brain disease.