Ronald X. Xu

According to our database, Ronald X. Xu authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, June, 2024

Edge-Guided Contrastive Adaptation Network for Arteriovenous Nicking Classification Using Synthetic Data.

Jicheng Liu, Hui Liu, Huazhu Fu, Yu Ye, Kun Chen, Yu Lu, Jianbo Mao, Ronald X. Xu, Mingzhai Sun

IEEE Trans. Medical Imaging, March, 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

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

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

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

2023

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

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

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

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

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