🧑‍🔬 Tristan Naumann — all works

43 works · ← Tristan Naumann

1. Publicly Available Clinical BERT EmbeddingsarXiv:1904.03323Emily Alsentzer, John R. Murphy, Willie Boag, et al.2019 · 1,233 citations
2. A whole-slide foundation model for digital pathology from real-world data ↗Nature · no summary yetHanwen Xu et al.2024 · 904 citations
3. LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayConference on Neural Information Processing Systems (NeurIPS)Chunyuan Li, Cliff Wong, Sheng Zhang, et al.2023 · 692 citations
4. Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing ↗Lecture notes in computer science · no summary yetBenedikt Boecking et al.2022 · 312 citations
5. A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs ↗NEJM AI · no summary yetSheng Zhang et al.2024 · 280 citations
6. Fine-tuning large neural language models for biomedical natural language processing ↗Patterns · no summary yetRobert Tinn et al.2021 · 198 citations
7. A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMarzyeh Ghassemi et al.2015 · 197 citations
8. BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2023 · 146 citations
9. A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities ↗Nature Methods · no summary yetTheodore Zhao et al.2024 · 110 citations
10. Multimodal AI generates virtual population for tumor microenvironment modeling ↗Cell · no summary yetJeya Maria Jose Valanarasu et al.2025 · 57 citations
11. Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation ↗arXiv:2403.08002 · Nature Communications volume 16, Article number: 3108 (2025) · no summary yetJuan Manuel Zambrano Chaves et al.2024 · 57 citations
12. Self-Verification Improves Few-Shot Clinical Information ExtractionarXiv:2306.00024 · IMLH 2023Zelalem Gero, Chandan Singh, Hao Cheng, et al.2023 · 51 citations
13. Knowledge-Rich Self-Supervision for Biomedical Entity Linking ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetSheng Zhang et al.2022 · 49 citations
14. Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology ↗arXiv (Cornell University) · no summary yetCliff Wong et al.2023 · 36 citations
15. Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervision ↗Patterns · no summary yetSam Preston et al.2023 · 34 citations
16. Biomedical Natural Language Processing in the Era of Large Language Models ↗Annual Review of Biomedical Data Science · no summary yetNaoto Usuyama et al.2025 · 25 citations
17. Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events ↗arXiv (Cornell University) · no summary yetGu, Yu et al.2023 · 22 citations
18. Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2025 · 21 citations
19. DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYiqing Xie et al.2024 · 18 citations
20. Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature ↗arXiv:2106.13375 · no summary yetYu Wang et al.2021 · 17 citations
21. Modular Self-Supervision for Document-Level Relation Extraction ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetSheng Zhang et al.2021 · 13 citations
22. TRIALSCOPE — A Framework for Clinical Trial Simulation from Real-World Data ↗NEJM AI · no summary yetJavier González Hernández et al.2025 · 11 citations
23. Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWenxuan Zhou et al.2023 · 9 citations
24. Compositional Zero-Shot Domain Transfer with Text-to-Text Models ↗Transactions of the Association for Computational Linguistics · no summary yetFangyu Liu et al.2023 · 8 citations
25. The Illusion of Readiness in Health AI ↗arXiv (Cornell University) · no summary yetGu, Yu et al.2025 · 7 citations
26. BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once ↗arXiv (Cornell University) · no summary yetTheodore Zhao et al.2024 · 7 citations
27. Generative Medical Event Models Improve with Scale ↗arXiv (Cornell University) · no summary yetShane Waxler et al.2025 · 6 citations
28. X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2025 · 5 citations
29. Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation ↗arXiv:1912.04370 · no summary yetAparna Balagopalan et al.2019 · 5 citations
30. Evaluating the robustness and readiness of large frontier models in health AI applications ↗Nature Medicine · no summary yet裕二 池谷 et al.2026 · 4 citations
31. Exploring Scaling Laws for EHR Foundation Models ↗arXiv (Cornell University) · no summary yetSheng Zhang et al.2025 · 4 citations
32. Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries ↗arXiv (Cornell University) · no summary yetZelalem Gero et al.2024 · 4 citations
33. TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models ↗arXiv (Cornell University) · no summary yetJavier González et al.2023 · 4 citations
34. Towards Structuring Real-World Data at Scale: Deep Learning for Extracting Key Oncology Information from Clinical Text with Patient-Level Supervision ↗arXiv (Cornell University) · no summary yetSam Preston et al.2022 · 4 citations
35. Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale ↗arXiv (Cornell University) · no summary yetCliff Wong et al.2025 · 3 citations
36. BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation ↗Lecture notes in computer science · no summary yetTheodore Zhao et al.2026 · 2 citations
37. Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation ↗CHI Conference on Human Factors in Computing Systems · no summary yetJiachen Li et al.2026 · 1 citation
38. GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis ↗arXiv:2607.18218 · no summary yetNaoto Usuyama et al.2026 · 1 citation
39. Large Language Models are Approximate Survival Estimators ↗arXiv (Cornell University) · no summary yetJuan Manuel Zambrano Chaves et al.2026
40. HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026
41. Scaling medical imaging report generation with multimodal reinforcement learning ↗arXiv (Cornell University) · no summary yetQianchu Liu et al.2026
42. Reinforcement Learning over Patient Trajectories for Clinical Reasoning in EHR Foundation Models ↗arXiv (Cornell University) · no summary yetYuxin Xiao et al.2026
43. Learning Sparse Visual Representations via Spatial-Semantic Factorization ↗arXiv (Cornell University) · no summary yetTheodore Zhengde Zhao et al.2026

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