Justin F. Rousseau

According to our database, Justin F. Rousseau authored at least 29 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.

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, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu

npj Digit. Medicine, 2024

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models.

Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

CoRR, 2024

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH).

Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding

CoRR, 2024

Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine.

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

CoRR, 2024

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, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 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

CoRR, 2023

Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.

Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.

Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.

Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Trustworthy assertion classification through prompting.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

J. Biomed. Informatics, 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

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

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.

Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding

Proceedings of the IEEE International Conference on Data Mining, 2022

EchoGen: Generating Conclusions from Echocardiogram Notes.

Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Prompt-based Learning for Assertion Classification in Clinical Notes.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2022, 2022

Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value.

Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding

Proceedings of the AMIA 2022, 2022

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

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.

Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the Machine Learning for Health, 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

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

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, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Building a PubMed knowledge graph.

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

CoRR, 2020

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, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Proceedings of the Artificial Intelligence in Medicine, 2020

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

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

Proceedings of the AMIA 2019, 2019

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

Proceedings of the AMIA 2019, 2019

2018

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

Proceedings of the AMIA 2018, 2018

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

Proceedings of the AMIA 2017, 2017

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

Proceedings of the AMIA 2017, 2017