Delbrouck, Jean-Benoit
Stanford University
8 papers on CoChat
Most cited papers
- Verified
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Veen, D. V., Uden, C. V., Blankemeier, L., Delbrouck, J.-B., Aali, A., Bluethgen, C., Pareek, A., Polacin, M., Reis, E. P., Seehofnerova, A., et al. (2023) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 892
- Verified
Adapted large language models can outperform medical experts in clinical text summarization
Van Veen, D., Van Uden, C., Blankemeier, L., Delbrouck, J.-B., Aali, A., Bluethgen, C., Pareek, A., Polacin, M., Reis, E. P., Seehofnerová, A., et al. (2024) · Nature Medicine
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 891
- Verified
A vision–language foundation model for the generation of realistic chest X-ray images
Bluethgen, C., Chambon, P., Delbrouck, J.-B., van der Sluijs, R., Połacin, M., Zambrano Chaves, J. M., Abraham, T. M., Purohit, S., Langlotz, C. P., & Chaudhari, A. S. (2024) · Nature Biomedical Engineering
Generative Adversarial Networks and Image SynthesisArtificial Intelligence in Healthcare and Education
Cited by 108
- Verified
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
Delbrouck, J.-B., Chambon, P., Bluethgen, C., Tsai, E., Almusa, O., & Langlotz, C. P. (2022) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 63
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GREEN: Generative Radiology Report Evaluation and Error Notation
Ostmeier, S., Xu, J., Chen, Z., Varma, M., Blankemeier, L., Bluethgen, C., Md, A. E. M., Moseley, M., Langlotz, C., Chaudhari, A. S., et al. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies
Cited by 59
- Verified
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models
Van Veen, D., Van Uden, C., Attias, M., Pareek, A., Bluethgen, C., Polacin, M., Chiu, W., Delbrouck, J.-B., Zambrano Chaves, J., Langlotz, C., et al. (2023) · The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
Biomedical Text Mining and OntologiesTopic Modeling
Cited by 25
- Verified
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
Chambon, P., Delbrouck, J.-B., Sounack, T., Huang, S.-C., Chen, Z., Varma, M., Truong, S. Q., Chuong, C. T., & Langlotz, C. P. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 8
- Verified
RaLEs: a Benchmark for Radiology Language Evaluations
Chaves, J. Z., Bhaskhar, N., Attias, M., Delbrouck, J.-B., Rubin, D., Loening, A., Langlotz, C., & Chaudhari, A. (2023) · Advances in Neural Information Processing Systems 36
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 0
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