Justin F. Rousseau

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Emergency Department

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Qiao Jin, 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, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR (2024)
Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023)
Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV (2023)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) (2023)
Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. CoRR (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR (2023)
Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality. CoRR (2023)
Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132 (2022)
Justin F. Rousseau, Eliel Oliveira, William M. Tierney, Anjum Khurshid
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. J. Biomed. Informatics 136 (2022)
Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR (2022)
Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA (2022)
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
Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements. J. Am. Medical Informatics Assoc. 29 (11) (2022)
Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. AMIA (2022)
Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS (2022)
Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR (2022)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR (2022)
Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM (2022)
Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL (2022)
Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR (2022)
Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM (2021)
Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR (2021)
Justin F. Rousseau, William M. Tierney
Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study". J. Am. Medical Informatics Assoc. 28 (3) (2021)
S. Scott Graham, Zoltan P. Majdik, Johua B. Barbour, Justin F. Rousseau
Associations Between Aggregate NLP-Extracted Conflicts of Interest and Adverse Events by Drug Product. MedInfo (2021)
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS (2021)
Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding
Building a PubMed knowledge graph. CoRR (2020)
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, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME (2020)
Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Vlad Valtchinov, Laila Cochon, Jeremiah D. Schuur, Ramin Khorasani
Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process? Appl. Clin. Inform. 10 (02) (2019)
Justin F. Rousseau, Juan Diego Rodriguez, Jared Abrams, Alex Liu, R. Nick Bryan
Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation. AMIA (2019)
Steven B. Andrews, Mari-Ann Alexander, Justin F. Rousseau, Anjum Khurshid, Jaimie Hancock, Rahel Berhane
Managing Data Flows for Pediatric Complex-Care Patients and Their Families to Manage Care Plans. AMIA (2019)
Justin F. Rousseau, Matt Sither, Rick Peters, Anjum Khurshid
A cross-institutional unified data request form to standardize the data request experience in Austin, TX. AMIA (2018)
Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Vlad Valtchinov, Jeremiah D. Schuur, Ramin Khorasani
Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance Radiology Order Entry Process? AMIA (2017)
Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Jeremiah D. Schuur, Ramin Khorasani
Can Emergency Department Provider Notes Help Achieve More Dynamic Clinical Decision Support? AMIA (2017)