Tristan Naumann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation. | Jiachen Li, Amanda K. Hall, Ruican Rachel Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, T. Scott Saponas, Hao Qiu, Leonardo Schettini, Joseph Samuel Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel Christopher Codella, Hoifung Poon, Shrey Jain, Matthew P. Lungren, Eric Horvitz |
| 2025 | CVPR | BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation. | Theodore Zhao, Ho Hin Lee, Alberto Santamara-Pang, Noel C. F. Codella, Sid Kiblawi, Yu Gu, Yu Fang, Wen Xuan Teng, Naiteek Sangani, Ivan Tarapov, Matthew P. Lungren, Matthias Blondeel, Tristan Naumann, Naoto Usuyama, Sheng Wang, Paul Vozila, Hoifung Poon, Mu Wei |
| 2024 | ACL | DocLens: Multi-aspect Fine-grained Medical Text Evaluation. | Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Ros |
| 2024 | ICLR | Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making. | Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu |
| 2023 | ACL | 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, Nomie Elhadad |
| 2023 | ACL | Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. | Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon |
| 2023 | KDD | Precision Health in the Age of Large Language Models. | Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier Gonzlez Hernndez |
| 2022 | ECCV | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. | Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay |
| 2022 | EMNLP | 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 |
| 2021 | EMNLP | Modular Self-Supervision for Document-Level Relation Extraction. | Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon |
| 2021 | KDD | Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. | Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon |
| 2018 | AAAI | Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. | Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi |
| 2017 | KDD | Predicting Clinical Outcomes Across Changing Electronic Health Record Systems. | Jen J. Gong, Tristan Naumann, Peter Szolovits, John V. Guttag |
| 2015 | AAAI | A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. | Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng |
| 2014 | KDD | Unfolding physiological state: mortality modelling in intensive care units. | Marzyeh Ghassemi, Tristan Naumann, Finale Doshi-Velez, Nicole Brimmer, Rohit Joshi, Anna Rumshisky, Peter Szolovits |
| 2013 | AMIA | Probabilistically Populated Medical Record Templates: Reducing Clinical Documentation Time Using Patient Cooperation. | Tristan Naumann, Marzyeh Ghassemi, Andreea Bodnari, Rohit Joshi |