Zhang, Sheng

A whole-slide foundation model for digital pathology from real-world data

Xu, H., Usuyama, N., Bagga, J., Zhang, S., Rao, R., Naumann, T., Wong, C., Gero, Z., González, J., Gu, Y., et al. (2024) · Nature

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 921

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 178

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events

Gu, Y., Zhang, S., Usuyama, N., Woldesenbet, Y., Wong, C., Sanapathi, P., Wei, M., Valluri, N., Strandberg, E., Naumann, T., et al. (2023) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 18

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness

Chang, S., Wang, J., Dong, M., Pan, L., Zhu, H., Li, A. H., Lan, W., Zhang, S., Jiang, J., Lilien, J., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 11

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Gero, Z., Singh, C., Xie, Y., Zhang, S., Subramanian, P., Vozila, P., Naumann, T., Gao, J., & Poon, H. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 5