Sheng Zhang
Microsoft (United States)(US)Imperial College London(GB)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Topic Modeling, Biomedical Text Mining and Ontologies, Machine Learning in Healthcare, Natural Language Processing Techniques
Most-Cited Works
- → BioGPT: generative pre-trained transformer for biomedical text generation and mining(2022)953 cited
- → A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs(2024)145 cited
- → Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology(2023)26 cited
- → A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings(2025)22 cited
- → Precision Health in the Age of Large Language Models(2023)10 cited
- → MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging(2024)3 cited
- → Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation(2024)3 cited
- → Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment(2025)2 cited
- → Generative Medical Event Models Improve with Scale(2025)1 cited