Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification. - Shuwei Shen; Mengjuan Xu; Fan Zhang; Pengfei Shao; Honghong Liu; Liang Xu; Chi Zhang; Peng Liu; Zhihong Zhang; Peng Yao; Ronald X. Xu (CoRR, 2021)

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization. - Fan Zhang; Bo Pan; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2021)

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2022)

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification. - Peng Yao; Shuwei Shen; Mengjuan Xu; Peng Liu; Fan Zhang; Jinyu Xing; Pengfei Shao; Benjamin Kaffenberger; Ronald X. Xu (IEEE Trans. Medical Imaging, 2022)

MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation. - Liang Xu; Mingxiao Chen; Yi Cheng; Pengfei Shao; Shuwei Shen; Peng Yao; Ronald X. Xu (CoRR, 2023)

Spectral reconstruction of fundus images using retinex-based semantic spectral separation transformer, applied for retinal oximetry. - Jicheng Liu; Wenteng Gao; Dehan Zhao; Lei Yang; Peng Liu; Ronald X. Xu; Mingzhai Sun (Biomed. Signal Process. Control., 2024)

Semantic uncertainty Guided Cross-Transformer for enhanced macular edema segmentation in OCT images. - Hui Liu; Wenteng Gao; Lei Yang; Di Wu; Dehan Zhao; Kun Chen; Jicheng Liu; Yu Ye; Ronald X. Xu; Mingzhai Sun (Comput. Biol. Medicine, 2024)

Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (Neural Comput. Appl., 2024)

Correction: Phased progressive learning with coupling-regulation-imbalance loss for imbalanced data classification. - Liang Xu; Yi Cheng; Fan Zhang; Bingxuan Wu; Pengfei Shao; Peng Liu; Shuwei Shen; Peng Yao; Ronald X. Xu (Neural Comput. Appl., 2024)

Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data. - Jicheng Liu; Hui Liu; Huazhu Fu; Yu Ye 003; Kun Chen; Yu Lu; Jianbo Mao; Ronald X. Xu; Mingzhai Sun (IEEE Trans. Medical Imaging, 2024)

SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection. - Zheng Zhang; Peng Yao; Mingxiao Chen; Liang Zeng; Pengfei Shao; Shuwei Shen; Ronald X. Xu (IEEE J. Biomed. Health Informatics, 2024)

Label-free prediction of vascular connectivity in perfused microvascular networks in vitro. - Liang Xu; Pengwu Song; Shilu Zhu; Yang Zhang; Ru Zhang; Zhiyuan Zheng; Qingdong Zhang; Jie Gao; Chen Han; Mingzhai Sun; Peng Yao; Min Ye; et al. (Comput. Methods Programs Biomed., 2025)

Resource-efficient instruction tuning of large language models for biomedical named entity recognition. - Hui Liu; Ziyi Chen; Peilin Li; Yuan-Zhi Liu; Xiangtao Liu; Ronald X. Xu; Mingzhai Sun (J. Biomed. Informatics, 2025)

DCST: Dual Cross-Supervision for Transformer-based Unsupervised Domain Adaptation. - Yi Cheng; Peng Yao; Liang Xu; Mingxiao Chen; Peng Liu; Pengfei Shao; Shuwei Shen; Ronald X. Xu (Neural Networks, 2025)

DMCA-Net: Dual-branch multi-granularity hierarchical contrast and cross-attention network for cervical abnormal cell detection. - Zhiping Wang; Peng Yao; Shuwei Shen; Pengfei Shao; Wei Ren; Liang Zeng; Mingzhai Sun; Ronald X. Xu (Neural Networks, 2025)

BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments. - Yibo Qiu; Zan Huang; Zhiyu Wang; Handi Liu; Yiling Qiao; Yifeng Hu; Shu'ang Sun; Hangke Peng; Ronald X. Xu; Mingzhai Sun (CoRR, 2025)