Jang et al (2025). Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation. Arxiv.
Yao et al (2024). MedQA-CS: Benchmarking Large Language Models Clinical Skills Using an AI-SCE Framework. Arxiv.
Kim et al (2024). PPFL: A personalized progressive federated learning method for leveraging different healthcare institution-specific features. iScience.
Kim & Jang et al (2024). Synthetic Data improves Survival Prediction Models in Early-Onset Colorectal Cancer. Journal of Clinical Oncology.
Sung & Jang et al (2023). Prognostic value of baseline and early treatment response of neutrophil-lymphocyte ratio, C-reactive protein, and lactate dehydrogenase in non-small cell lung cancer patients undergoing immunotherapy. Translational Lung Cancer Research.
Yang & Yao et al (2023). Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with Explanations. medRxiv.
Kim et al (2023). Personalized Progressive Federated Learning with Leveraging Client-Specific Vertical Features. Computer Science & IT Conference Proceedings.
Awarded Best Thesis of The Korean Society of Medical Informatics (KOSMI) Fall Academic Conference, November 2022.