Justin F. Rousseau

43 papers A* 3A 1B 1Misc 7Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support. CoRR Ruiqi Deng, Geoffrey Martin, Tony Wang, Gongbo Zhang, Yi Liu, Chunhua Weng, Yanshan Wang, Justin F. Rousseau, Yifan Peng
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, 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
2025	J	`jnl`	A foundation model for human-AI collaboration in medical literature mining. CoRR Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyunjin Cho, Changin Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Hanley Ong, Justin F. Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun
2025	J	`jnl`	Deep Learning-Based Detection of Cognitive Impairment from Passive Smartphone Sensing with Routine-Aware Augmentation and Demographic Personalization. CoRR Yufei Shen, Ji Hwan Park, Minchao Huang, Jared F. Benge, Justin F. Rousseau, Rosemary A. Lester-Smith, Edison Thomaz
2025	J	`jnl`	Leveraging long context in retrieval augmented language models for medical question answering. npj Digit. Medicine Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2025	J	`jnl`	Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care. CoRR Xizhi Wu, Nelly Estefanie Garduno-Rapp, Justin F. Rousseau, Mounika Thakkallapally, Hang Zhang, Yuelyu Ji, Shyam Visweswaran, Yifan Peng, Yanshan Wang
2024	J	`jnl`	A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models. CoRR Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2024	J	`jnl`	Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR 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
2024	J	`jnl`	Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. 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
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR 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
2023	J	`jnl`	Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. CoRR Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
2023	A	`conf`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2023	J	`jnl`	Evaluating large language models on medical evidence summarization. npj Digit. Medicine 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
2023	—	`conf`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	—	`conf`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2023	J	`jnl`	Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality. CoRR Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding
2022	J	`jnl`	Analytics to monitor local impact of the Protecting Access to Medicare Act's imaging clinical decision support requirements. J. Am. Medical Informatics Assoc. 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
2022	Misc	`conf`	Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. AMIA Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding
2022	J	`jnl`	Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang
2022	—	`conf`	EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
2022	J	`jnl`	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 Justin F. Rousseau, Eliel Oliveira, William M. Tierney, Anjum Khurshid
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	Misc	`conf`	Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2022	A*	`conf`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding
2022	J	`jnl`	Trustworthy assertion classification through prompting. J. Biomed. Informatics Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2022	J	`jnl`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2021	—	`conf`	Associations Between Aggregate NLP-Extracted Conflicts of Interest and Adverse Events by Drug Product. MedInfo S. Scott Graham, Zoltan P. Majdik, Johua B. Barbour, Justin F. Rousseau
2021	J	`jnl`	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. Justin F. Rousseau, William M. Tierney
2021	—	`conf`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	A*	`conf`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding
2020	J	`jnl`	Building a PubMed knowledge graph. CoRR 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
2020	B	`conf`	Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 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
2019	J	`jnl`	Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process? Appl. Clin. Inform. Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Vlad Valtchinov, Laila Cochon, Jeremiah D. Schuur, Ramin Khorasani
2019	Misc	`conf`	Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation. AMIA Justin F. Rousseau, Juan Diego Rodriguez, Jared Abrams, Alex Liu, R. Nick Bryan
2019	Misc	`conf`	Managing Data Flows for Pediatric Complex-Care Patients and Their Families to Manage Care Plans. AMIA Steven B. Andrews, Mari-Ann Alexander, Justin F. Rousseau, Anjum Khurshid, Jaimie Hancock, Rahel Berhane
2018	Misc	`conf`	A cross-institutional unified data request form to standardize the data request experience in Austin, TX. AMIA Justin F. Rousseau, Matt Sither, Rick Peters, Anjum Khurshid
2017	Misc	`conf`	Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance Radiology Order Entry Process? AMIA Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Vlad Valtchinov, Jeremiah D. Schuur, Ramin Khorasani
2017	Misc	`conf`	Can Emergency Department Provider Notes Help Achieve More Dynamic Clinical Decision Support? AMIA Justin F. Rousseau, Ivan K. Ip, Ali S. Raja, Jeremiah D. Schuur, Ramin Khorasani