Can Emergency Department Provider Notes Help Achieve More Dynamic Clinical Decision Support? - Justin F. Rousseau; Ivan K. Ip; Ali S. Raja; Jeremiah D. Schuur; Ramin Khorasani (AMIA, 2017)

Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance Radiology Order Entry Process? - Justin F. Rousseau; Ivan K. Ip; Ali S. Raja; Vlad Valtchinov; Jeremiah D. Schuur; Ramin Khorasani (AMIA, 2017)

A cross-institutional unified data request form to standardize the data request experience in Austin, TX. - Justin F. Rousseau; Matt Sither; Rick Peters; Anjum Khurshid (AMIA, 2018)

Managing Data Flows for Pediatric Complex-Care Patients and Their Families to Manage Care Plans. - Steven B. Andrews; Mari-Ann Alexander; Justin F. Rousseau; Anjum Khurshid; Jaimie Hancock; Rahel Berhane (AMIA, 2019)

Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation. - Justin F. Rousseau; Juan Diego Rodriguez; Jared Abrams; Alex Liu; R. Nick Bryan (AMIA, 2019)

Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process? - Justin F. Rousseau; Ivan K. Ip; Ali S. Raja; Vlad Valtchinov; Laila Cochon; Jeremiah D. Schuur; Ramin Khorasani (Appl. Clin. Inform., 2019)

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. - Tingyi Wanyan; Martin Kang; Marcus A. Badgeley; Kipp W. Johnson; Jessica K. De Freitas; Fayzan F. Chaudhry; Akhil Vaid; Shan Zhao; Riccardo Miotto; Girish N. Nadkarni; Fei Wang 001; Justin F. Rousseau; et al. (AIME, 2020)

Building a PubMed knowledge graph. - Jian Xu 003; Sunkyu Kim; Min Song 001; Minbyul Jeong; Donghyeon Kim; Jaewoo Kang; Justin F. Rousseau; Xin Li 091; Weijia Xu; Vetle I. Torvik; Yi Bu 001; Chongyan Chen; et al. (CoRR, 2020)

SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. - Ajay Jaiswal; Tianhao Li; Cyprian Zander; Yan Han 001; Justin F. Rousseau; Yifan Peng 002; Ying Ding 001 (ICDM, 2021)

Associations Between Aggregate NLP-Extracted Conflicts of Interest and Adverse Events by Drug Product. - S. Scott Graham; Zoltan P. Majdik; Johua B. Barbour; Justin F. Rousseau (MedInfo, 2021)

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. - Ajay Jaiswal; Liyan Tang; Meheli Ghosh; Justin F. Rousseau; Yifan Peng 002; Ying Ding 001 (ML4H@NeurIPS, 2021)

Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study". - Justin F. Rousseau; William M. Tierney (J. Am. Medical Informatics Assoc., 2021)

Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. - Redoan Rahman; Jooyeong Kang; Justin F. Rousseau; Ying Ding 001 (AMIA, 2022)

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)

EchoGen: Generating Conclusions from Echocardiogram Notes. - Liyan Tang; Shravan Kooragayalu; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Yifan Peng 002 (BioNLP@ACL, 2022)

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. - Ajay Jaiswal; Kumar Ashutosh; Justin F. Rousseau; Yifan Peng 002; Zhangyang Wang; Ying Ding 001 (ICDM, 2022)

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. - Ajay Jaiswal; Peihao Wang; Tianlong Chen 001; Justin F. Rousseau; Ying Ding 001; Zhangyang Wang (NeurIPS, 2022)

Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements. - Vladimir I. Valtchinov; Shawn N. Murphy; Ronilda Lacson; Nikolay Ikonomov; Bingxue K. Zhai; Katherine P. Andriole; Justin F. Rousseau; Dick Hanson; Isaac S. Kohane; Ramin Khorasani (J. Am. Medical Informatics Assoc., 2022)

Methods for development and application of data standards in an ontology-driven information model for measuring, managing, and computing social determinants of health for individuals, households, and communities evaluated through an example of asthma. - Justin F. Rousseau; Eliel Oliveira; William M. Tierney; Anjum Khurshid (J. Biomed. Informatics, 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)

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. - Liyan Tang; Tanya Goyal; Alexander R. Fabbri; Philippe Laban; Jiacheng Xu 001; Semih Yavuz; Wojciech Kryscinski; Justin F. Rousseau; Greg Durrett (ACL (1), 2023)

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. - Liyan Tang; Yifan Peng 002; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau (ACL (Findings), 2023)

Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. - Ajay Jaiswal; Tianlong Chen 001; Justin F. Rousseau; Yifan Peng 002; Ying Ding 001; Zhangyang Wang (WACV, 2023)

Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality. - Li Shi; Redoan Rahman; Esther Melamed; Jacek Gwizdka; Justin F. Rousseau; Ying Ding 001 (CoRR, 2023)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2023)

Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (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)

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models. - Gongbo Zhang; Zihan Xu; Qiao Jin 001; Fangyi Chen; Yilu Fang; Yi Liu 059; Justin F. Rousseau; Ziyang Xu; Zhiyong Lu; Chunhua Weng; Yifan Peng 002 (CoRR, 2024)

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. - Qiao Jin 001; Fangyuan Chen; Yiliang Zhou; Ziyang Xu; Justin M. Cheung; Robert Chen; Ronald M. Summers; Justin F. Rousseau; Peiyun Ni; Marc J. Landsman; Sally L. Baxter; Subhi J. Al'Aref; et al. (npj Digit. Medicine, 2024)

Leveraging long context in retrieval augmented language models for medical question answering. - Gongbo Zhang; Zihan Xu; Qiao Jin 001; Fangyi Chen; Yilu Fang; Yi Liu 059; Justin F. Rousseau; Ziyang Xu; Zhiyong Lu; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2025)

A foundation model for human-AI collaboration in medical literature mining. - Zifeng Wang 008; Lang Cao; Qiao Jin 001; Joey Chan; Nicholas Wan; Behdad Afzali; Hyunjin Cho; Changin Choi; Mehdi Emamverdi; Manjot K. Gill; Sun-Hyung Kim; Yijia Li; et al. (CoRR, 2025)