1 citations · 1 across the 4 of their papers we have counts for
4 papers
Revisiting Shape and Texture Reliance with Category-Separability-Calibrated Suppression
Ning Jiang, Tianyi Luo, Zhengyong Huang +1
Feature-suppression evaluations infer model reliance on shape or texture from the accuracy loss caused by attenuating each type of information. Such losses, however, conflate featu…
Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
Zhengyong Huang, Ning Jiang, Xingwen Sun +4
Image segmentation is pivotal in medical image analysis, facilitating clinical diagnosis, treatment planning, and disease evaluation. Deep learning has significantly advanced autom…
Unsupervised Deformable Image Registration with Local-Global Attention and Image Decomposition
Zhengyong Huang, Xingwen Sun, Xuting Chang +5
Deformable image registration is a critical technology in medical image analysis, with broad applications in clinical practice such as disease diagnosis, multi-modal fusion, and su…
Contour-weighted loss for class-imbalanced image segmentation
Zhhengyong Huang, Yao Sui
Image segmentation is critically important in almost all medical image analysis for automatic interpretations and processing. However, it is often challenging to perform image segm…