Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang 026; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2021)

An empirical study of using radiology reports and images to improve ICU-mortality prediction. - Mingquan Lin; Song Wang 026; Ying Ding 001; Lihui Zhao; Fei Wang 001; Yifan Peng 002 (ICHI, 2021)

Prompt-based Learning for Assertion Classification in Clinical Notes. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2022)

Radiology Text Analysis System (RadText): Architecture and Evaluation. - Song Wang 026; Mingquan Lin; Ying Ding 001; George Shih; Zhiyong Lu; Yifan Peng 002 (ICHI, 2022)

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. - Gregory Holste; Song Wang 026; Ziyu Jiang; Thomas C. Shen; George Shih; Ronald M. Summers; Yifan Peng 002; Zhangyang Wang (DALI@MICCAI, 2022)

Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. - Dana Moukheiber; Saurabh Mahindre; Lama Moukheiber; Mira Moukheiber; Song Wang 026; Chunwei Ma; George Shih; Yifan Peng 002; Mingchen Gao (DALI@MICCAI, 2022)

Prior Knowledge Enhances Radiology Report Generation. - Song Wang 026; Liyan Tang; Mingquan Lin; George Shih; Ying Ding 001; Yifan Peng 002 (CoRR, 2022)

Trustworthy assertion classification through prompting. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (J. Biomed. Informatics, 2022)

An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. - Song Wang 026; Yifang Dang; Zhaoyi Sun; Ying Ding 001; Jyotishman Pathak; Cui Tao; Yunyu Xiao; Yifan Peng 002 (J. Am. Medical Informatics Assoc., 2023)

A Multiple Agile Satellite Staring Observation Mission Planning Method for Dense Regions. - Weiquan Huang; He Wang; Dongbo Yi; Song Wang 026; Binchi Zhang; Jingwen Cui (Remote. Sens., 2023)

Suicide Risk Assessment on Social Media with Semi-Supervised Learning. - Max Lovitt; Haotian Ma; Song Wang 026; Yifan Peng 002 (IEEE Big Data, 2024)

Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. - Richard Li Xu; Song Wang 026; Zewei Wang; Yuhan Zhang; Yunyu Xiao; Jyotishman Pathak; David Hodge; Yan Leng; S. Craig Watkins; Ying Ding 001; Yifan Peng 002 (ICHI, 2024)

Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. - Song Wang 026; Yiliang Zhou; Ziqiang Han; Cui Tao; Yunyu Xiao; Ying Ding 001; Joydeep Ghosh; Yifan Peng 002 (CoRR, 2024)

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). - Bernardo Consoli; Xizhi Wu; Song Wang 026; Xinyu Zhao; Yanshan Wang; Justin F. Rousseau; Tom Hartvigsen; Li Shen 001; Huanmei Wu; Yifan Peng 002; Qi Long; Tianlong Chen 001; et al. (CoRR, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Closing the gap between open source and commercial large language models for medical evidence summarization. - Gongbo Zhang; Qiao Jin 001; Yiliang Zhou; Song Wang 026; Betina Idnay; Yiming Luo; Elizabeth Park; Jordan G. Nestor; Matthew E. Spotnitz; Ali Soroush; Thomas Campion; Zhiyong Lu; et al. (npj Digit. Medicine, 2024)

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray. - Mingquan Lin; Gregory Holste; Song Wang 026; Yiliang Zhou; Yishu Wei; Imon Banerjee; Pengyi Chen; Tianjie Dai; Yuexi Du; Nicha C. Dvornek; Yuyan Ge; Zuowei Guo; et al. (CoRR, 2025)