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The automation of chest X-ray reporting has garnered significant interest due to the time-consuming nature of the task.
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
Alistair EW Johnson, Tom J Pollard, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G Mark, Seth J Berkowitz, and Steven Horng · 1901
Earlier work this paper cites.
Physiobank, physiotoolkit, and physionet: components of a new research resource for complex physiologic signals
Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley · 2000
Earlier work this paper cites.
Content analysis of reporting templates and free-text radiology reports
Yi Hong and Charles E Kahn · 2013
Earlier work this paper cites.
Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Earlier work this paper cites.
Tienet: Text-image embedding network for common thorax disease classification and reporting in chest x-rays
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald M Summers · 2018
Earlier work this paper cites.
SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
Earlier work this paper cites.
Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment
Geeticka Chauhan, Ruizhi Liao, William Wells, Jacob Andreas, Xin Wang, Seth Berkowitz, Steven Horng, Peter Szolovits, and Polina Golland · 2020
Earlier work this paper cites.
Few-shot radiology report generation for rare diseases
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, and Yangyong Zhu · 2020
Earlier work this paper cites.
Redefining the structure of structured reporting in radiology
J Martijn Nobel, Ellen M Kok, and Simon GF Robben · 2020
Earlier work this paper cites.
Chest x-ray report generation through fine-grained label learning
Tanveer Syeda-Mahmood, Ken CL Wong, Yaniv Gur, Joy T Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, et al · 2020
Earlier work this paper cites.
Anaxnet: Anatomy aware multi-label finding classification in chest x-ray
Nkechinyere N Agu, Joy T Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, and James Hendler · 2021
Cited alongside, same era.
Improving pneumonia localization via cross-attention on medical images and reports
Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, and Daguang Xu · 2021
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
Cited alongside, same era.
Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model
Mark Endo, Rayan Krishnan, Viswesh Krishna, Andrew Y. Ng, and Pranav Rajpurkar · 2021
Cited alongside, same era.
Ratchet: Medical transformer for chest x-ray diagnosis and reporting
Benjamin Hou, Georgios Kaissis, Ronald M Summers, and Bernhard Kainz · 2021
Cited alongside, same era.
Discriminative ensemble learning for few-shot chest x-ray diagnosis
Angshuman Paul, Yu-Xing Tang, Thomas Shen, and Ronald Summers · 2021
Later among the works it cites.
Clinically correct report generation from chest x-rays using templates
Pablo Pino, Denis Parra, Cecilia Besa, and Claudio Lagos · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
Chest imagenome dataset (version 1.0.0)
Joy Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Paguio, Jasper Seth Yao, Edward Christopher Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Tanveer Syeda-Mahmood, and Mehdi Moradi · 2021
Later among the works it cites.
Weakly supervised contrastive learning for chest x-ray report generation
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, and Chun-Nan Hsu · 2021
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Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Shih-Cheng Huang, Liyue Shen, Matthew P Lungren, and Serena Yeung · 2021
Cited alongside, same era.
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis Langlotz, and Pranav Rajpurkar · 2021
Cited alongside, same era.
Decoupling object detection from human-object interaction recognition
Ying Jin, Yinpeng Chen, Lijuan Wang, Jianfeng Wang, Pei Yu, Lin Liang, Jenq-Neng Hwang, and Zicheng Liu · 2021
Cited alongside, same era.
Multimodal representation learning via maximization of local mutual information
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth Berkowitz, Steven Horng, Polina Golland, and William M Wells · 2021
Cited alongside, same era.
Structured reporting in radiology: a systematic review to explore its potential
J. Martijn Nobel, Koos van Geel, and Simon G. F. Robben · 2021
Cited alongside, same era.
MIMIC-CXR-JPG - chest radiographs with structured labels (version 2.0.0)
Alistair Johnson, Matt Lungren, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz, and Steven Horng
Cited in the paper.
Later among the works it cites.
Making the most of text semantics to improve biomedical vision–language processing
Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, and Ozan Oktay · 2022
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Breaking with fixed set pathology recognition through report-guided contrastive training
Constantin Seibold, Simon Reiß, M. Saquib Sarfraz, Rainer Stiefelhagen, and Jens Kleesiek · 2022
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Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning
Ekin Tiu, Ellie Talius, Pujan Patel, Curtis P Langlotz, Andrew Y Ng, and Pranav Rajpurkar · 2022
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Medclip: Contrastive learning from unpaired medical images and text
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun · 2022
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