Extracting and Encoding: Leveraging Large Language Models and Medical
Knowledge to Enhance Radiological Text Representation

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation

2 July 2024

Álvaro Soto

Vladimir Araujo

Papers citing "Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation"

4 / 4 papers shown

Title
Compositional Zero-Shot Domain Transfer with Text-to-Text Models Fangyu Liu Qianchu Liu Shruthi Bannur Fernando Pérez-García Naoto Usuyama ... A. Nori Hoifung Poon Javier Alvarez-Valle Ozan Oktay Stephanie L. Hyland VLM 43 5 0 23 Mar 2023
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards Jean-Benoit Delbrouck Pierre J. Chambon Christian Blüthgen E. Tsai Omar Almusa C. Langlotz MedIm 46 75 0 21 Oct 2022
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 146 156 0 20 Oct 2020
Span-based Joint Entity and Relation Extraction with Transformer Pre-training Markus Eberts A. Ulges LRM ViT 164 378 0 17 Sep 2019