Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation. - Houze Liu; Bo Zhang; Yanlin Xiang; Yuxiang Hu; Aoran Shen; Yang Lin (CoRR, 2024)

Accurate Medical Named Entity Recognition Through Specialized NLP Models. - Jiacheng Hu; Runyuan Bao; Yang Lin; Hanchao Zhang; Yanlin Xiang (CoRR, 2024)

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data. - Weijie He; Tong Zhou; Yanlin Xiang; Yang Lin; Jiacheng Hu; Runyuan Bao (CoRR, 2024)

Multi-Scale Transformer Architecture for Accurate Medical Image Classification. - Jiacheng Hu; Yanlin Xiang; Yang Lin; Junliang Du; Hanchao Zhang; Houze Liu (CoRR, 2025)

A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data. - Ran Hao; Yanlin Xiang; Junliang Du; Qingyuan He; Jiacheng Hu; Ting Xu (CoRR, 2025)

Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation. - Yanlin Xiang; Qingyuan He; Ting Xu; Ran Hao; Jiacheng Hu; Hanchao Zhang (CoRR, 2025)