15 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
Hybrid Graph Neural Networks for Crowd Counting
Ao Luo, Fan Yang, Xin Li +4
Crowd counting is an important yet challenging task due to the large scale and density variation. Recent investigations have shown that distilling rich relations among multi-scale…
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren, Lichi Zhang, Sahar Ahmad +5
Semantic segmentation is essentially important to biomedical image analysis. Many recent works mainly focus on integrating the Fully Convolutional Network (FCN) architecture with s…
Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation
Dong Nie, Dinggang Shen
Encoder-decoder architectures are widely adopted for medical image segmentation tasks. With the lateral skip connection, the models can obtain and fuse both semantic and resolution…
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image
Lei Xiang, Qian Wang, Xiyao Jin +3
Recently, more and more attention is drawn to the field of medical image synthesis across modalities. Among them, the synthesis of computed tomography (CT) image from T1-weighted m…