Zhou, Yuyin

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Chen, J., Lu, Y., Yu, Q., Luo, X., Adeli, E., Wang, Y., Lu, L., Yuille, A. L., & Zhou, Y. (2021) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 4,206

A generalist vision-language foundation model for diverse biomedical tasks

Zhang, K., Zhou, R., Adhikarla, E., Yan, Z., Liu, Y., Yu, J., Liu, Z., Chen, X., Davison, B. D., Ren, H., et al. (2024) · Nature Medicine

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 333

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

Yan, R., Qu, L., Wei, Q., Huang, S.-C., Shen, L., Rubin, D. L., Xing, L., & Zhou, Y. (2023) · IEEE Transactions on Medical Imaging

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 183

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

Xie, L., Yu, Q., Zhou, Y., Wang, Y., Fishman, E. K., & Yuille, A. L. (2020) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 80

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

Wang, Y., Tang, P., Zhou, Y., Shen, W., Fishman, E. K., & Yuille, A. L. (2021) · IEEE Transactions on Medical Imaging

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 34

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models

Huang, X., Wu, J., Liu, H., Tang, X., & Zhou, Y. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 1