Work

GREEN: Generative Radiology Report Evaluation and Error Notation

Year: 2024

Type: conference-paper

Abstract: Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson Md, Michael Moseley, Curtis Langlotz, Akshay S Chaudhari, Jean-Benoit Delbrouck. Findings of the Association for Computational Linguistics: EMNLP 2024. 2024.

Source: Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

DOI: 10.18653/v1/2024.findings-emnlp.21

Authors: Sophie Ostmeier, Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen, Arne Edward Michalson Md, Michael Moseley, Curtis Langlotz, Akshay S Chaudhari, Jean-Benoit Delbrouck

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

Funders: Deutsche Forschungsgemeinschaft, National Institutes of Health, Advanced Research Projects Agency, National Heart, Lung, and Blood Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering

Awards: G3018715022, Deep Learning zur quantitativen Beurteilung von akuten ischämischen Schlaganfallen im nativen CT, Rapid Low-Cost Quantitative 3D MRI and Gait Assessment of the Knee, G4749485581, G5825988260, G6970759405, G8842961228, G8877264399, Mobilize Center: Models for Mobile Sensing and Precision Rehabilitation, Imaging of Joint Response to Physiological Stress with Age, Sex and in Osteoarthritis, Designing Novel MR Imaging Tools to Quantify Lower-Limb Exercise Adaptations in Knee Osteoarthritis, Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning

OpenAlex ID: W4404781831

FWCI: 18.96

Cites: 11

Cited by: 72

Related to: 10