Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning

13 August 2019

Papers citing "Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning"

6 / 6 papers shown

Title
Neuro-symbolic Training for Reasoning over Spatial Language Tanawan Premsri Parisa Kordjamshidi NAI LRM 48 6 0 19 Jun 2024
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 40 2 0 19 Oct 2023
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning Roshanak Mirzaee Parisa Kordjamshidi SyDa LRM 27 33 0 30 Oct 2022
Event-based clinical findings extraction from radiology reports with pre-trained language model Wilson Lau K. Lybarger Martin Gunn Meliha Yetisgen 33 5 0 27 Dec 2021
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports Saahil Jain Ashwin Agrawal A. Saporta Steven QH Truong D. Duong ... Yuhao Zhang M. Lungren A. Ng C. Langlotz Pranav Rajpurkar MedIm 26 201 0 28 Jun 2021
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework K. Lybarger L. Mabrey M. Thau P. Bhatraju M. Wurfel Meliha Yetisgen-Yildiz 13 2 0 10 Mar 2021