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Tristan Naumann
Tristan Naumann
Principal Researcher, Microsoft Research Health Futures
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Publicly available clinical BERT embeddings
E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ...
arXiv preprint arXiv:1904.03323, 2019
23932019
Domain-specific language model pretraining for biomedical natural language processing
Y Gu, R Tinn, H Cheng, M Lucas, N Usuyama, X Liu, T Naumann, J Gao, ...
ACM Transactions on Computing for Healthcare (HEALTH) 3 (1), 1-23, 2021
19832021
Llava-med: Training a large language-and-vision assistant for biomedicine in one day
C Li, C Wong, S Zhang, N Usuyama, H Liu, J Yang, T Naumann, H Poon, ...
Advances in Neural Information Processing Systems 36, 2024
4682024
A review of challenges and opportunities in machine learning for health
M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath
AMIA Summits on Translational Science Proceedings 2020, 191, 2020
3752020
Secondary analysis of electronic health records
MIT Critical Data
Springer Nature, 2016
2942016
Unfolding physiological state: Mortality modelling in intensive care units
M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2912014
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
M Ghassemi, M Pimentel, T Naumann, T Brennan, D Clifton, P Szolovits, ...
Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015
2822015
Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii
S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ...
Proceedings of the ACM conference on health, inference, and learning, 222-235, 2020
2432020
The role of machine learning in clinical research: transforming the future of evidence generation
EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ...
Trials 22, 1-15, 2021
2352021
Making the most of text semantics to improve biomedical vision–language processing
B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ...
European conference on computer vision, 1-21, 2022
2182022
Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
A Rumshisky, M Ghassemi, T Naumann, P Szolovits, VM Castro, ...
Translational psychiatry 6 (10), e921-e921, 2016
2022016
Natural language processing for EHR-based computational phenotyping
Z Zeng, Y Deng, X Li, T Naumann, Y Luo
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2018
1892018
Feature robustness in non-stationary health records: caveats to deployable model performance in common clinical machine learning tasks
B Nestor, MBA McDermott, W Boag, G Berner, T Naumann, MC Hughes, ...
Machine Learning for Healthcare Conference, 381-405, 2019
1522019
Large-scale domain-specific pretraining for biomedical vision-language processing
S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ...
arXiv preprint arXiv:2303.00915 2 (3), 6, 2023
1482023
Fine-tuning large neural language models for biomedical natural language processing
R Tinn, H Cheng, Y Gu, N Usuyama, X Liu, T Naumann, J Gao, H Poon
Patterns 4 (4), 2023
1122023
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
S Zhang, Y Xu, N Usuyama, H Xu, J Bagga, R Tinn, S Preston, R Rao, ...
arXiv preprint arXiv:2303.00915, 2023
1052023
Making big data useful for health care: a summary of the inaugural mit critical data conference
O Badawi, T Brennan, LA Celi, M Feng, M Ghassemi, A Ippolito, ...
JMIR medical informatics 2 (2), e3447, 2014
982014
Practical guidance on artificial intelligence for health-care data
M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath
The Lancet Digital Health 1 (4), e157-e159, 2019
972019
A whole-slide foundation model for digital pathology from real-world data
H Xu, N Usuyama, J Bagga, S Zhang, R Rao, T Naumann, C Wong, ...
Nature, 1-8, 2024
952024
Opportunities in machine learning for healthcare
M Ghassemi, T Naumann, P Schulam, AL Beam, R Ranganath
arXiv preprint arXiv:1806.00388, 2018
882018
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