Jean-Benoit Delbrouck

Author

Stanford University

Also Known As

Delbrouck, Jean-Benoit, Jean-Benoit Delbrouck, Xu, Justin

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Stanford University Association for the Advancement of Artificial Intelligence Stanford Medicine University Hospital of Zurich Mayo Clinic in Arizona

About

Jean-Benoit Delbrouck is an author at Stanford University specializing in engineering, natural language processing, and computational linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	759
2	Language Studies	3	3	605
3	Health Sciences	2	2	115
4	Medicine	1	1	542
5	Biostatistics	1	1	21

Jean-Benoit Delbrouck

Publications

Citations

H-Index

Page 1

	Year	Citations
Adapted large language models can outperform medical experts in clinical text summarization Dave Van Veen, Cara Van Uden, Louis Blankemeier, Nature Medicine Natural Language ProcessingLarge Language ModelsClinical LanguageEngineeringMulti-modal Summarization	2024	542
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts Dave Van Veen, Cara Van Uden, Louis Blankemeier,	2023	86
A vision–language foundation model for the generation of realistic chest X-ray images Christian Bluethgen, Pierre Chambon, Jean-Benoit Delbrouck, Nature Biomedical Engineering Computed TomographyImage AnalysisMachine VisionMedical ImagingEngineering	2024	60
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, arXiv (Cornell University) EngineeringMachine LearningMultimodal LearningNatural ImagesNatural Language Processing	2022	55
Merlin: A Vision Language Foundation Model for 3D Computed Tomography Louis Blankemeier, Joseph Cohen, Ashwin Kumar,	2024	53
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Structured PredictionEngineeringMachine LearningSemanticsCorpus Linguistics	2022	42
Domino: Discovering Systematic Errors with Cross-Modal Embeddings Sabri Eyuboglu, Maya Varma, Khaled Saab, arXiv (Cornell University) Structured PredictionEngineeringMachine LearningCoherent SlicesMachine Learning Models	2022	39
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization Dave Van Veen, Cara Van Uden, Louis Blankemeier, arXiv (Cornell University)	2023	35
GREEN: Generative Radiology Report Evaluation and Error Notation Sophie Ostmeier, Justin Xu, Zhihong Chen,	2024	23
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models Dave Van Veen, Cara Van Uden, Maayane Attias, EngineeringDave Van VeenLanguage ProcessingText MiningAutomatic Summarization	2023	21

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