Lin, Mingquan

A scoping review on multimodal deep learning in biomedical images and texts

Sun, Z., Lin, M., Zhu, Q., Xie, Q., Wang, F., Lu, Z., & Peng, Y. (2023) · Journal of Biomedical Informatics

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 69

Uncertainty-aware large language models for explainable disease diagnosis

Zhou, S., Wang, J., Xu, Z., Wang, S., Brauer, D., Welton, L., Cogan, J., Chung, Y.-H., Tian, L., Zhan, Z., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 27

Deep-recursive residual network for image semantic segmentation

Zhang, Y., Li, X., Lin, M., Chiu, B., & Zhao, M. (2020) · Neural Computing and Applications

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 27

Explainable differential diagnosis with dual-inference large language models

Zhou, S., Lin, M., Ding, S., Wang, J., Chen, C., Melton, G. B., Zou, J., & Zhang, R. (2025) · npj Health Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 20

Detecting beta‐amyloid plaque via low rank based orthogonal projection and spatial‐spectrum detector using high‐resolution quantitative susceptibility mapping for preclinical studies

Chen, J., Han, X., Liu, Z., Zhou, C., Hu, R., Tabassam, S., Wyatt-Johnson, S. K., Oblak, A. L., Brutkiewicz, R. R., Lin, M., et al. (2026) · IEEE Transactions on Biomedical Engineering

Advanced MRI Techniques and ApplicationsDementia and Cognitive Impairment Research

Cited by 2