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Justin F. Rousseau
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2020 – today
- 2024
- [j7]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:
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine 7(1) (2024) - [i12]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 abs/2401.08396 (2024) - [i11]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:
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR abs/2407.17126 (2024) - 2023
- [j6]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) - [c17]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: 11626-11644 - [c16]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: 12532-12555 - [c15]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: 4976-4985 - [i10]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 abs/2302.08605 (2023) - [i9]Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding:
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. CoRR abs/2303.00517 (2023) - [i8]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - 2022
- [j5]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): 1870-1878 (2022) - [j4]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132: 104139 (2022) - [j3]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: 104241 (2022) - [c14]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 - [c13]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 - [c12]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c11]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: 981-986 - [c10]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 - [i7]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. CoRR abs/2205.12854 (2022) - [i6]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 abs/2210.08122 (2022) - [i5]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 abs/2210.08388 (2022) - [i4]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 abs/2212.02675 (2022) - 2021
- [j2]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): 664-665 (2021) - [c9]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: 1132-1137 - [c8]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: 405-409 - [c7]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: 196-208 - [i3]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 abs/2110.14787 (2021) - [i2]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR abs/2110.15426 (2021) - 2020
- [c6]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: 14-25 - [i1]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 abs/2005.04308 (2020)
2010 – 2019
- 2019
- [j1]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): 189-198 (2019) - [c5]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 - [c4]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 - 2018
- [c3]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 - 2017
- [c2]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 - [c1]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
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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