Tristan Naumann

Senior Principal Research Manager

论文与出版物

查看方式：

- GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
  
  Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao, Hanwen Xu, Jaspreet Bagga, Guanghui Qin, Robert E. Kramer, Cliff Wong, Soohee Lee, Hao Qiu, T. Zhao, Racheli Ben Shimol, Angela Crabtree, K. Matlock, Eduardo Alejandro Lozano Garcia, Naiteek Sangani, Alberto Santamaria-Pang, Jason Entenmann, Alexandra Q. Bartlett, Bill J. Wright, Bernard A. Fox, B. Piening, Sheng Zhang, Sheng Wang, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
  
  Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Ming Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Masked-diffusion autoencoders for 3d medical vision representation learning
  
  Jiachen Tu, Guanghui Qin, Theodore Zhengde Zhao, Jeya Maria Jose Valanarasu, Sheng Zhang, Tristan Naumann, Fan Lam, Sheng Wang, Hoifung Poon
  
  CVPR 2026 | June 2026
  
  Publication
- CLIN-SUMM: Incremental Longitudinal Summarization of Clinical Notes Enables Scalable Representation and Early Disease Prediction
  
  Valentina D'Souza, Danielle F Pace, Alaleh Azhir, Arash Nargesi, Erik B Holbrook, Wei He, Tristan Naumann, Samuel Friedman, Steven J Atlas, Christopher D Anderson, Judy Hung, Mahnaz Maddah
  
  April 2026
  
  medRxiv | April 2026
  
  Preprint
  
  Preprint Preprint
- Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation
  
  Jiachen Li, Amanda K. Hall, Ruican Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan M. Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, Hao Qiu, Leonardo Schettini, Joseph S. Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel C. Codella, Hoifung Poon, Shrey Jain, Matthew P Lungren, Eric Horvitz
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) | April 2026
  
  Honorable Mention Award
  
  Publication
- Learning Sparse Visual Representations via Spatial-Semantic Factorization
  
  Theodore Zhao, Sid Kiblawi, Jianwei Yang, Naoto Usuyama, Reuben Tan, Noel Codella, Tristan Naumann, Hoifung Poon, Mu-Hsin Wei
  
  ICML 2026 | February 2026
  
  DOI Publication
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  arXiv | January 2026
  
  Preprint
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  PhysioNet | January 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  March 2024
  
  Publication
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 2024
  
  arXiv | January 2024
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023
  
  DOI Publication Publication
- Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
  
  Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  August 2023
  
  Publication
- Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
  
  Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
  
  July 2023
  
  Publication
- What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
  
  Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
  
  ACL 2023 | July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  arXiv | May 2023
  
  Publication
- Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
  
  Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, A. Odisho, Bin Yu
  
  ICLR 2024 | May 2023
  
  Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  Patterns | April 2023, 第 4 卷(4)
  
  Publication Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  arXiv | March 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 视频访问访问项目
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
  
  Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  August 2020
  
  arXiv | August 2020
  
  PDF 视频访问
- Leveraging text representations for clinical predictive tasks
  
  Tristan Naumann
  
  June 2018
  
  博士论文：Massachusetts Institute of Technology | June 2018
  
  PDF
- Natural Language Processing for EHR-Based Computational Phenotyping
  
  Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
  
  Computation and Language | June 2018
  
  Publication
- Opportunities in Machine Learning for Healthcare
  
  Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath
  
  June 2018
  
  June 2018
  
  Publication
- Visualizing Patient Timelines in the Intensive Care Unit
  
  Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag
  
  June 2018
  
  June 2018
  
  Publication
- CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
  
  Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
  
  March 2018
  
  March 2018
  
  Publication
- Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
  
  Willie Boag, Tristan Naumann, Peter Szolovits
  
  March 2018
  
  March 2018
  
  Publication

- GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
  
  Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao, Hanwen Xu, Jaspreet Bagga, Guanghui Qin, Robert E. Kramer, Cliff Wong, Soohee Lee, Hao Qiu, T. Zhao, Racheli Ben Shimol, Angela Crabtree, K. Matlock, Eduardo Alejandro Lozano Garcia, Naiteek Sangani, Alberto Santamaria-Pang, Jason Entenmann, Alexandra Q. Bartlett, Bill J. Wright, Bernard A. Fox, B. Piening, Sheng Zhang, Sheng Wang, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Masked-diffusion autoencoders for 3d medical vision representation learning
  
  Jiachen Tu, Guanghui Qin, Theodore Zhengde Zhao, Jeya Maria Jose Valanarasu, Sheng Zhang, Tristan Naumann, Fan Lam, Sheng Wang, Hoifung Poon
  
  CVPR 2026 | June 2026
  
  Publication
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  arXiv | January 2026
  
  Preprint
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  PhysioNet | January 2025
  
  Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  March 2024
  
  Publication
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 2024
  
  arXiv | January 2024
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  arXiv | March 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 视频访问访问项目
- GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
  
  Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao, Hanwen Xu, Jaspreet Bagga, Guanghui Qin, Robert E. Kramer, Cliff Wong, Soohee Lee, Hao Qiu, T. Zhao, Racheli Ben Shimol, Angela Crabtree, K. Matlock, Eduardo Alejandro Lozano Garcia, Naiteek Sangani, Alberto Santamaria-Pang, Jason Entenmann, Alexandra Q. Bartlett, Bill J. Wright, Bernard A. Fox, B. Piening, Sheng Zhang, Sheng Wang, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
  
  Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Ming Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- CLIN-SUMM: Incremental Longitudinal Summarization of Clinical Notes Enables Scalable Representation and Early Disease Prediction
  
  Valentina D'Souza, Danielle F Pace, Alaleh Azhir, Arash Nargesi, Erik B Holbrook, Wei He, Tristan Naumann, Samuel Friedman, Steven J Atlas, Christopher D Anderson, Judy Hung, Mahnaz Maddah
  
  April 2026
  
  medRxiv | April 2026
  
  Preprint
  
  Preprint Preprint
- Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation
  
  Jiachen Li, Amanda K. Hall, Ruican Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan M. Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, Hao Qiu, Leonardo Schettini, Joseph S. Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel C. Codella, Hoifung Poon, Shrey Jain, Matthew P Lungren, Eric Horvitz
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) | April 2026
  
  Honorable Mention Award
  
  Publication
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  PhysioNet | January 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  March 2024
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023
  
  DOI Publication Publication
- Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
  
  Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  August 2023
  
  Publication
- Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
  
  Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
  
  July 2023
  
  Publication
- What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
  
  Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
  
  ACL 2023 | July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  arXiv | May 2023
  
  Publication
- Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
  
  Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, A. Odisho, Bin Yu
  
  ICLR 2024 | May 2023
  
  Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  Patterns | April 2023, 第 4 卷(4)
  
  Publication Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  arXiv | March 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 视频访问访问项目
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
  
  Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  August 2020
  
  arXiv | August 2020
  
  PDF 视频访问
- Leveraging text representations for clinical predictive tasks
  
  Tristan Naumann
  
  June 2018
  
  博士论文：Massachusetts Institute of Technology | June 2018
  
  PDF
- Visualizing Patient Timelines in the Intensive Care Unit
  
  Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag
  
  June 2018
  
  June 2018
  
  Publication
- Opportunities in Machine Learning for Healthcare
  
  Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath
  
  June 2018
  
  June 2018
  
  Publication
- Natural Language Processing for EHR-Based Computational Phenotyping
  
  Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
  
  Computation and Language | June 2018
  
  Publication
- CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
  
  Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
  
  March 2018
  
  March 2018
  
  Publication
- Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
  
  Willie Boag, Tristan Naumann, Peter Szolovits
  
  March 2018
  
  March 2018
  
  Publication
- HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
  
  Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Ming Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation
  
  Jiachen Li, Amanda K. Hall, Ruican Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan M. Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, Hao Qiu, Leonardo Schettini, Joseph S. Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel C. Codella, Hoifung Poon, Shrey Jain, Matthew P Lungren, Eric Horvitz
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) | April 2026
  
  Honorable Mention Award
  
  Publication
- Learning Sparse Visual Representations via Spatial-Semantic Factorization
  
  Theodore Zhao, Sid Kiblawi, Jianwei Yang, Naoto Usuyama, Reuben Tan, Noel Codella, Tristan Naumann, Hoifung Poon, Mu-Hsin Wei
  
  ICML 2026 | February 2026
  
  DOI Publication
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  arXiv | January 2026
  
  Preprint
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  PhysioNet | January 2025
  
  Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  March 2024
  
  Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023
  
  DOI Publication Publication
- Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
  
  Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
  
  July 2023
  
  Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  arXiv | May 2023
  
  Publication
- Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
  
  Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, A. Odisho, Bin Yu
  
  ICLR 2024 | May 2023
  
  Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  Patterns | April 2023, 第 4 卷(4)
  
  Publication Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  arXiv | March 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 视频访问访问项目
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目
- Leveraging text representations for clinical predictive tasks
  
  Tristan Naumann
  
  June 2018
  
  博士论文：Massachusetts Institute of Technology | June 2018
  
  PDF
- Visualizing Patient Timelines in the Intensive Care Unit
  
  Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag
  
  June 2018
  
  June 2018
  
  Publication
- Opportunities in Machine Learning for Healthcare
  
  Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath
  
  June 2018
  
  June 2018
  
  Publication
- Natural Language Processing for EHR-Based Computational Phenotyping
  
  Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
  
  Computation and Language | June 2018
  
  Publication
- CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
  
  Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
  
  March 2018
  
  March 2018
  
  Publication
- Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
  
  Willie Boag, Tristan Naumann, Peter Szolovits
  
  March 2018
  
  March 2018
  
  Publication
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  arXiv | January 2026
  
  Preprint
- What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
  
  Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
  
  ACL 2023 | July 2023
  
  Publication
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目
- Natural Language Processing for EHR-Based Computational Phenotyping
  
  Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
  
  Computation and Language | June 2018
  
  Publication
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目

- GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis
  
  Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao, Hanwen Xu, Jaspreet Bagga, Guanghui Qin, Robert E. Kramer, Cliff Wong, Soohee Lee, Hao Qiu, T. Zhao, Racheli Ben Shimol, Angela Crabtree, K. Matlock, Eduardo Alejandro Lozano Garcia, Naiteek Sangani, Alberto Santamaria-Pang, Jason Entenmann, Alexandra Q. Bartlett, Bill J. Wright, Bernard A. Fox, B. Piening, Sheng Zhang, Sheng Wang, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
  
  Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Ming Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- CLIN-SUMM: Incremental Longitudinal Summarization of Clinical Notes Enables Scalable Representation and Early Disease Prediction
  
  Valentina D'Souza, Danielle F Pace, Alaleh Azhir, Arash Nargesi, Erik B Holbrook, Wei He, Tristan Naumann, Samuel Friedman, Steven J Atlas, Christopher D Anderson, Judy Hung, Mahnaz Maddah
  
  April 2026
  
  medRxiv | April 2026
  
  Preprint
  
  Preprint Preprint
- Scaling medical imaging report generation with multimodal reinforcement learning
  
  Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
  
  January 2026
  
  arXiv | January 2026
  
  Preprint
- LLaVA-Rad MIMIC-CXR Annotations
  
  Juan Manuel Zambrano Chaves (juanza), Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Akshay Chaudhari, Serena Yeung, Curtis Langlotz, Sheng Wang, Hoifung Poon
  
  January 2025
  
  PhysioNet | January 2025
  
  Publication
- Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
  
  Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama (naotous), Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu-Hsin Wei, Tristan Naumann, Muhao Chen, Matthew P Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
  
  March 2024
  
  March 2024
  
  Publication
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Hanwen Xu, Jaspreet Bagga, Rob Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Andrea Tupini, Yu Wang, Matt Mazzola, Swadheen Shukla, Lars Liden, Jianfeng Gao, Matthew P Lungren, Tristan Naumann, Sheng Wang, Hoifung Poon
  
  January 2024
  
  arXiv | January 2024
  
  Publication
- Self-Verification Improves Few-Shot Clinical Information Extraction
  
  Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon
  
  May 2023
  
  arXiv | May 2023
  
  Publication
- Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing
  
  Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P Lungren, Tristan Naumann, Hoifung Poon
  
  March 2023
  
  arXiv | March 2023
  
  Publication
- Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
  
  Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  August 2020
  
  arXiv | August 2020
  
  PDF 视频访问
- Visualizing Patient Timelines in the Intensive Care Unit
  
  Dina Levy-Lambert, Jen J. Gong, Tristan Naumann, Tom J. Pollard, John V. Guttag
  
  June 2018
  
  June 2018
  
  Publication
- Opportunities in Machine Learning for Healthcare
  
  Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Rajesh Ranganath
  
  June 2018
  
  June 2018
  
  Publication
- CliNER 2.0: Accessible and Accurate Clinical Concept Extraction
  
  Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
  
  March 2018
  
  March 2018
  
  Publication
- Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes
  
  Willie Boag, Tristan Naumann, Peter Szolovits
  
  March 2018
  
  March 2018
  
  Publication
- Masked-diffusion autoencoders for 3d medical vision representation learning
  
  Jiachen Tu, Guanghui Qin, Theodore Zhengde Zhao, Jeya Maria Jose Valanarasu, Sheng Zhang, Tristan Naumann, Fan Lam, Sheng Wang, Hoifung Poon
  
  CVPR 2026 | June 2026
  
  Publication
- Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation
  
  Jiachen Li, Amanda K. Hall, Ruican Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan M. Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, Hao Qiu, Leonardo Schettini, Joseph S. Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel C. Codella, Hoifung Poon, Shrey Jain, Matthew P Lungren, Eric Horvitz
  
  ACM CHI Conference on Human Factors in Computing Systems (CHI 2026) | April 2026
  
  Honorable Mention Award
  
  Publication
- Learning Sparse Visual Representations via Spatial-Semantic Factorization
  
  Theodore Zhao, Sid Kiblawi, Jianwei Yang, Naoto Usuyama, Reuben Tan, Noel Codella, Tristan Naumann, Hoifung Poon, Mu-Hsin Wei
  
  ICML 2026 | February 2026
  
  DOI Publication
- Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
  
  Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  NeurIPS 2024 | December 2024
  
  DOI Publication Publication
- What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization
  
  Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann, Noémie Elhadad
  
  ACL 2023 | July 2023
  
  Publication
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
  
  Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
  
  ACL 2023 | May 2023
  
  Publication
- Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
  
  Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, A. Odisho, Bin Yu
  
  ICLR 2024 | May 2023
  
  Publication
- Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
  
  Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay
  
  The European Conference on Computer Vision (ECCV) | October 2022
  
  Preprint 视频访问访问项目
- Knowledge-Rich Self-Supervision for Biomedical Entity Linking
  
  Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  EMNLP 2022 | May 2022
  
  Publication
- Modular Self-Supervision for Document-Level Relation Extraction
  
  Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
  
  Empirical Methods in Natural Language Processing | September 2021
  
  Publication PDF
- Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
  
  Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Rob Tinn, Cliff Wong, Naoto Usuyama, Rick Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul Bennett, Jianfeng Gao, Hoifung Poon
  
  KDD 2021 | August 2021
  
  Publication Publication 项目
- Multimodal AI generates virtual population for tumor microenvironment modeling
  
  Jeya Maria Jose Valanarasu, Hanwen Xu, Naoto Usuyama, Chanwoo Kim, Cliff Wong, Peniel Argaw, Racheli Ben Shimol, Angela Crabtree, Kevin Matlock, Alexandra Q. Bartlett, Jaspreet Bagga, Yu Gu, Sheng Zhang, Tristan Naumann, Bernard A. Fox, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Cell | December 2025
  
  Publication
- A whole-slide foundation model for digital pathology from real-world data
  
  Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
  
  Nature | May 2024
  
  Publication DOI Publication
- TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
  
  Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon
  
  ArXiv | November 2023
  
  DOI Publication Publication
- Fine-tuning large neural language models for biomedical natural language processing
  
  Rob Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
  
  Patterns | June 2023, 第 4 卷(4)
  
  Publication Publication
- Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision
  
  Sam Preston, Mu Wei, Rajesh Rao, Rob Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  Patterns | April 2023, 第 4 卷(4)
  
  Publication Publication
- Natural Language Processing for EHR-Based Computational Phenotyping
  
  Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann, Yuan Luo
  
  Computation and Language | June 2018
  
  Publication
- Generative Medical Event Models Improve with Scale
  
  Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
  
  August 2025
  
  Publication
- Exploring Scaling Laws for EHR Foundation Models
  
  Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
  
  August 2025
  
  DOI
- BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once
  
  Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, B. Piening, Carlo Bifulco, Mu-Hsin Wei, Hoifung Poon, Sheng Wang
  
  June 2024
  
  DOI 视频
- Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
  
  Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
  
  August 2023
  
  Publication
- Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
  
  Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
  
  July 2023
  
  Publication
- Leveraging text representations for clinical predictive tasks
  
  Tristan Naumann
  
  June 2018
  
  博士论文：Massachusetts Institute of Technology | June 2018
  
  PDF

Tristan Naumann

论文与出版物

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

Masked-diffusion autoencoders for 3d medical vision representation learning

CLIN-SUMM: Incremental Longitudinal Summarization of Clinical Notes Enables Scalable Representation and Early Disease Prediction

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

Learning Sparse Visual Representations via Spatial-Semantic Factorization

Scaling medical imaging report generation with multimodal reinforcement learning

Multimodal AI generates virtual population for tumor microenvironment modeling

Generative Medical Event Models Improve with Scale

Exploring Scaling Laws for EHR Foundation Models

LLaVA-Rad MIMIC-CXR Annotations

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

A whole-slide foundation model for digital pathology from real-world data

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Fine-tuning large neural language models for biomedical natural language processing

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction

Self-Verification Improves Few-Shot Clinical Information Extraction

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Knowledge-Rich Self-Supervision for Biomedical Entity Linking

Modular Self-Supervision for Document-Level Relation Extraction

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Leveraging text representations for clinical predictive tasks

Natural Language Processing for EHR-Based Computational Phenotyping

Opportunities in Machine Learning for Healthcare

Visualizing Patient Timelines in the Intensive Care Unit

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction

Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

Masked-diffusion autoencoders for 3d medical vision representation learning

Scaling medical imaging report generation with multimodal reinforcement learning

LLaVA-Rad MIMIC-CXR Annotations

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

CLIN-SUMM: Incremental Longitudinal Summarization of Clinical Notes Enables Scalable Representation and Early Disease Prediction

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

Multimodal AI generates virtual population for tumor microenvironment modeling

Exploring Scaling Laws for EHR Foundation Models

LLaVA-Rad MIMIC-CXR Annotations

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once

A whole-slide foundation model for digital pathology from real-world data

Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Fine-tuning large neural language models for biomedical natural language processing

Self-Verification Improves Few-Shot Clinical Information Extraction

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making

Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Modular Self-Supervision for Document-Level Relation Extraction

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Leveraging text representations for clinical predictive tasks

Visualizing Patient Timelines in the Intensive Care Unit

Opportunities in Machine Learning for Healthcare

Natural Language Processing for EHR-Based Computational Phenotyping

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction

Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation