Naoto Usuyama

40 papers A* 5Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation.
CHI
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
2026 J jnl
Learning Sparse Visual Representations via Spatial-Semantic Factorization.
CoRR
Theodore Zhengde Zhao, Sid Kiblawi, Jianwei Yang, Naoto Usuyama, Reuben Tan, Noel C. F. Codella, Tristan Naumann, Hoifung Poon, Mu Wei
2025 A* conf
Boltzmann Attention Sampling for Image Analysis with Small Objects.
CVPR
Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025 J jnl
Boltzmann Attention Sampling for Image Analysis with Small Objects.
CoRR
Theodore Zhao, Sid Kiblawi, Naoto Usuyama, Ho Hin Lee, Sam Preston, Hoifung Poon, Mu Wei
2025 J jnl
Exploring Scaling Laws for EHR Foundation Models.
CoRR
Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
2025 J jnl
Generative Medical Event Models Improve with Scale.
CoRR
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
2025 J jnl
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks.
CoRR
Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2024 J jnl
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.
CoRR
Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang
2024 J jnl
Foundation Models for Biomedical Image Segmentation: A Survey.
CoRR
Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon
2024 J jnl
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond.
CoRR
Harsha Nori, Naoto Usuyama, Nicholas King, Scott Mayer McKinney, Xavier Fernandes, Sheng Zhang, Eric Horvitz
2024 J jnl
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, 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 Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
2023 J jnl
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.
CoRR
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
2023 J jnl
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz
2023 J jnl
Compositional Zero-Shot Domain Transfer with Text-to-Text Models.
CoRR
Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023 J jnl
Compositional Zero-Shot Domain Transfer with Text-to-Text Models.
Trans. Assoc. Comput. Linguistics
Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023 J jnl
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events.
CoRR
Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
2023 A* conf
Exploring the Boundaries of GPT-4 in Radiology.
EMNLP
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023 J jnl
Exploring the Boundaries of GPT-4 in Radiology.
CoRR
Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
2023 J jnl
Fine-tuning large neural language models for biomedical natural language processing.
Patterns
Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2023 A* conf
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
NeurIPS
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023 J jnl
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
CoRR
Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023 J jnl
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing.
CoRR
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
2023 — conf
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
MLHC
Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023 J jnl
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
CoRR
Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023 J jnl
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision.
Patterns
Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Yu Gu, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023 J jnl
When an Image is Worth 1, 024 x 1, 024 Words: A Case Study in Computational Pathology.
CoRR
Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
2022 J jnl
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.
ACM Trans. Comput. Heal.
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022 — conf
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.
ECCV (36)
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 J jnl
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing.
CoRR
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 J jnl
Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision.
CoRR
Sam Preston, Mu Wei, Rajesh Rao, Robert Tinn, Naoto Usuyama, Michael Lucas, Roshanthi Weerasinghe, Soohee Lee, Brian Piening, Paul Tittel, Naveen Valluri, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2021 A* conf
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
KDD
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
2021 J jnl
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
CoRR
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
2021 J jnl
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing.
CoRR
Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021 — conf
Modular Self-Supervision for Document-Level Relation Extraction.
EMNLP (1)
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2021 J jnl
Modular Self-Supervision for Document-Level Relation Extraction.
CoRR
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2020 J jnl
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.
CoRR
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2020 — conf
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification.
CVPR Workshops
Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin
2020 J jnl
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification.
CoRR
Naoto Usuyama, Natalia Larios Delgado, Amanda K. Hall, Jessica Lundin
2019 J jnl
Fast and accurate medication identification.
npj Digit. Medicine
Natalia Larios Delgado, Naoto Usuyama, Amanda K. Hall, Rebecca J. Hazen, Max Ma, Siva Sahu, Jessica Lundin
2014 J jnl
HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutations.
Bioinform.
Naoto Usuyama, Yuichi Shiraishi, Yusuke Sato, Haruki Kume, Yukio Homma, Seishi Ogawa, Satoru Miyano, Seiya Imoto