220 citations · 458 across the 35 of their papers we have counts for
36 papers
On Clustering Induced Voronoi Diagrams
Danny Z. Chen, Ziyun Huang, Yangwei Liu +1
In this paper, we study a generalization of the classical Voronoi diagram, called clustering induced Voronoi diagram (CIVD). Different from the traditional model, CIVD takes as its…
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
Yizhe Zhang, Suraj Mishra, Peixian Liang +2
We aim to quantitatively measure the practical usability of medical image segmentation models: to what extent, how often, and on which samples a model's predictions can be used/tru…
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance Segmentation
Peixian Liang, Yizhe Zhang, Yifan Ding +5
Deep learning (DL) based semantic segmentation methods have achieved excellent performance in biomedical image segmentation, producing high quality probability maps to allow extrac…
D-Former: A U-shaped Dilated Transformer for 3D Medical Image Segmentation
Yixuan Wu, Kuanlun Liao, Jintai Chen +4
Computer-aided medical image segmentation has been applied widely in diagnosis and treatment to obtain clinically useful information of shapes and volumes of target organs and tiss…
DANets: Deep Abstract Networks for Tabular Data Classification and Regression
Jintai Chen, Kuanlun Liao, Yao Wan +2
Tabular data are ubiquitous in real world applications. Although many commonly-used neural components (e.g., convolution) and extensible neural networks (e.g., ResNet) have been de…
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
Hao Zheng, Jun Han, Hongxiao Wang +4
A large labeled dataset is a key to the success of supervised deep learning, but for medical image segmentation, it is highly challenging to obtain sufficient annotated images for…