Evaluating progress in automatic chest X-ray radiology report generation
Authors:
Top Cited Papers
Open Access
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- National Institutes of Health
- National Institute of Biomedical Imaging and Bioengineering
- Gordon and Betty Moore Foundation
- International Business Machines Corporation
This publication has 13 references indexed in Scilit:
- Knowledge matters: Chest radiology report generation with general and specific knowledgeMedical Image Analysis, 2022
- AI in health and medicineNature Medicine, 2022
- Generalized radiograph representation learning via cross-supervision between images and free-text radiology reportsNature Machine Intelligence, 2022
- Highly accurate protein structure prediction with AlphaFoldNature, 2021
- Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality2021
- Deep learning in generating radiology reports: A surveyArtificial Intelligence in Medicine, 2020
- MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reportsScientific Data, 2019
- Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report GenerationProceedings of the AAAI Conference on Artificial Intelligence, 2019
- ACR RADPEER Committee White Paper with 2016 Updates: Revised Scoring System, New Classifications, Self-Review, and Subspecialized ReportsJournal of the American College of Radiology, 2017
- PhysioBank, PhysioToolkit, and PhysioNetCirculation, 2000