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2020 – today
- 2024
[c5]Jean-Benoit Delbrouck, Pierre J. Chambon, Zhihong Chen, Maya Varma, Andrew Johnston, Louis Blankemeier, Dave Van Veen, Tan Bui, Steven Quoc Hung Truong, Curtis P. Langlotz:
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports. ACL (Findings) 2024: 12902-12915- [i5]Pierre J. Chambon, Jean-Benoit Delbrouck, Thomas Sounack, Shih-Cheng Huang, Zhihong Chen, Maya Varma, Steven QH Truong, Chu The Chuong, Curtis P. Langlotz:
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats. CoRR abs/2405.19538 (2024) - 2023
- [j2]Pierre J. Chambon
, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz:
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. 30(2): 318-328 (2023) - [j1]Pierre J. Chambon, Tessa Sundaram Cook, Curtis P. Langlotz:
Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports. J. Digit. Imaging 36(1): 164-177 (2023) - [c4]Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz:
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. BioNLP@ACL 2023: 478-482 - 2022
- [c3]Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz:
ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) 2022: 23-34 - [c2]Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz:
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. EMNLP (Findings) 2022: 4348-4360 - [i4]Pierre J. Chambon, Christian Bluethgen, Curtis P. Langlotz, Akshay Chaudhari:
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains. CoRR abs/2210.04133 (2022) - [i3]Jean-Benoit Delbrouck, Pierre J. Chambon, Christian Bluethgen, Emily Bao Tsai, Omar Almusa, Curtis P. Langlotz:
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards. CoRR abs/2210.12186 (2022) - [i2]Pierre J. Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier van der Sluijs, Malgorzata Polacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P. Langlotz, Akshay Chaudhari:
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation. CoRR abs/2211.12737 (2022) - 2021
- [c1]Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar:
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. NeurIPS Datasets and Benchmarks 2021 - [i1]Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Q. H. Truong, Du Nguyen Duong, Tan Bui, Pierre J. Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, Pranav Rajpurkar:
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. CoRR abs/2106.14463 (2021)
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