15 citations · 26 across the 5 of their papers we have counts for
5 papers
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
Shiqiang Ma, Xuejian Li, Jijun Tang +1
Automatic image segmentation technology is critical to the visual analysis. The autoencoder architecture has satisfying performance in various image segmentation tasks. However, au…
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation
Xuejian Li, Shiqiang Ma, Jijun Tang +1
Automatic segmentation of medical images based on multi-modality is an important topic for disease diagnosis. Although the convolutional neural network (CNN) has been proven to hav…
Exemplar or Matching: Modeling DCJ Problems with Unequal Content Genome Data
Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer +1
The edit distance under the DCJ model can be computed in linear time for genomes with equal content or with Indels. But it becomes NP-Hard in the presence of duplications, a proble…
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Quan Zou, Shixiang Wan, Ying Ju +2
Background: It is necessary and essential to discovery protein function from the novel primary sequences. Wet lab experimental procedures are not only time-consuming, but also cost…
Label-Guided Graph Exploration with Adjustable Ratio of Labels
Meng Zhang, Yi Zhang, Jijun Tang
The graph exploration problem is to visit all the nodes of a connected graph by a mobile entity, e.g., a robot. The robot has no a priori knowledge of the topology of the graph or…