2 papers
cs.CV2023
Convolutional neural network based on sparse graph attention mechanism for MRI super-resolution
Xin Hua, Zhijiang Du, Hongjian Yu +1
Magnetic resonance imaging (MRI) is a valuable clinical tool for displaying anatomical structures and aiding in accurate diagnosis. Medical image super-resolution (SR) reconstructi…
eess.IV2023
Spatial Correspondence between Graph Neural Network-Segmented Images
Qian Li, Yunguan Fu, Qianye Yang +3
Graph neural networks (GNNs) have been proposed for medical image segmentation, by predicting anatomical structures represented by graphs of vertices and edges. One such type of gr…