Author

Peng Xu

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Sep 2026

3D UXFormer: Dual-Branch Feature Fusion for Precise Breast MRI Multi-Tissue Segmentation.

A novel 3D UXFormer model is introduced that combines the 3D UNET and Vision Transformer (ViT) through a dual-branch structure, capitalizing on the 3D UNET's local feature extraction prowess and ViT's global feature-capturing ability.

Xiao-Dong Zheng, Zhi-Tao Wei, Si-Yao Du et al. · Interdisciplinary Sciences C... · 0 citations

Open access Aug 2026

A hybrid high activity aware framework integrating graph attention network and transformer for half maximal inhibitory concentration prediction

Experimental results demonstrate that HGATT outperforms not only individual graph neural network (GNN)- and machine learning-based models but also other related drug-target prediction methods and baseline regression approaches, exhibiting superior predictive accuracy.

D. Ban, Lu Pan, Xue-Li Zhang et al. · Frontiers in Immunology · 0 citations