Chambon, Pierre

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

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

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

Jain, S., Agrawal, A., Saporta, A., Truong, S. Q., Nguyen Duong, D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., et al. (2021) · PhysioNet

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 34

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

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0