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Radiology reporting is a complex task requiring detailed medical image understanding and precise language generation, for which generative multimodal models offer a promising solution.
“Influence of prior radiologic information on the interpretation of radiographic examinations”
Uwa Aideyan, Kevin Berbaum and Wilbur Smith · 1995
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“Influence of prior radiologic information on the interpretation of radiographic examinations”
Uwa Aideyan, Kevin Berbaum and Wilbur Smith · 1995
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“BLEU: a Method for Automatic Evaluation of Machine Translation”
Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu · 2002
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“BLEU: a Method for Automatic Evaluation of Machine Translation”
Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu · 2002
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“BLEU: a Method for Automatic Evaluation of Machine Translation”
Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu · 2002
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“BLEU: a Method for Automatic Evaluation of Machine Translation”
Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu · 2002
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“ROUGE: A Package for Automatic Evaluation of Summaries”
Chin-Yew Lin · 2004
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“ROUGE: A Package for Automatic Evaluation of Summaries”
Chin-Yew Lin · 2004
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“METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments”
Satanjeev Banerjee and Alon Lavie · 2005
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“METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments”
Satanjeev Banerjee and Alon Lavie · 2005
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“ITK: enabling reproducible research and open science”
Matthew McCormick et al · 2014
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“ITK: enabling reproducible research and open science”
Matthew McCormick et al · 2014
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“Preparing a collection of radiology examinations for distribution and retrieval”
Dina Demner-Fushman et al · 2016
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“Preparing a collection of radiology examinations for distribution and retrieval”
Dina Demner-Fushman et al · 2016
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“Radiology report: A guide to thoughtful communication for radiologists and other medical professionals”
Curtis Langlotz · 2016
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“Preparing a collection of radiology examinations for distribution and retrieval”
Dina Demner-Fushman et al · 2016
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“Preparing a collection of radiology examinations for distribution and retrieval”
Dina Demner-Fushman et al · 2016
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“Radiology report: A guide to thoughtful communication for radiologists and other medical professionals”
Curtis Langlotz · 2016
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“Radiologist shortage leaves patient care at risk, warns royal college”
Abi Rimmer · 2017
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“Radiologist shortage leaves patient care at risk, warns royal college”
Abi Rimmer · 2017
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“Clinically accurate chest x-ray report generation”
Guanxiong Liu et al · 2019
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“MIMIC-CXR Database (version 2.0.0)”, PhysioNet, 2019
Alistair.. Johnson et al · 2019
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“Automatic radiology report generation based on multi-view image fusion and medical concept enrichment”
Jianbo Yuan, Haofu Liao, Rui Luo and Jiebo Luo · 2019
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“CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison”
Jeremy Irvin et al · 2019
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“Automatic radiology report generation based on multi-view image fusion and medical concept enrichment”
Jianbo Yuan, Haofu Liao, Rui Luo and Jiebo Luo · 2019
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“MIMIC-CXR Database (version 2.0.0)”, PhysioNet, 2019
Alistair.. Johnson et al · 2019
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“MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs”
Alistair Johnson et al · 2019
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“Decoupled Weight Decay Regularization”
Ilya Loshchilov and Frank Hutter · 2019
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“CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison”
Jeremy Irvin et al · 2019
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“Clinically accurate chest x-ray report generation”
Guanxiong Liu et al · 2019
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“MIMIC-CXR Database (version 2.0.0)”, PhysioNet, 2019
Alistair.. Johnson et al · 2019
Earlier work this paper cites.
“Automatic radiology report generation based on multi-view image fusion and medical concept enrichment”
Jianbo Yuan, Haofu Liao, Rui Luo and Jiebo Luo · 2019
Earlier work this paper cites.
“CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison”
Jeremy Irvin et al · 2019
Earlier work this paper cites.
“Automatic radiology report generation based on multi-view image fusion and medical concept enrichment”
Jianbo Yuan, Haofu Liao, Rui Luo and Jiebo Luo · 2019
Earlier work this paper cites.
“MIMIC-CXR Database (version 2.0.0)”, PhysioNet, 2019
Alistair.. Johnson et al · 2019
Earlier work this paper cites.
“MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs”
Alistair Johnson et al · 2019
Earlier work this paper cites.
“Decoupled Weight Decay Regularization”
Ilya Loshchilov and Frank Hutter · 2019
Earlier work this paper cites.
“CheXpert: A large chest radiograph dataset with uncertainty labels and expert comparison”
Jeremy Irvin et al · 2019
Earlier work this paper cites.
“Padchest: A large chest x-ray image dataset with multi-label annotated reports”
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas and Maria De-Vaya · 2020
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“An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale”
Alexey Dosovitskiy et al · 2020
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“Automatic medical image report generation with multi-view and multi-modal attention mechanism”
Shaokang Yang, Jianwei Niu, Jiyan Wu and Xuefeng Liu · 2020
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“Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT”
Akshay Smit et al · 2020
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“Automatic medical image report generation with multi-view and multi-modal attention mechanism”
Shaokang Yang, Jianwei Niu, Jiyan Wu and Xuefeng Liu · 2020
Earlier work this paper cites.
“Padchest: A large chest x-ray image dataset with multi-label annotated reports”
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas and Maria De-Vaya · 2020
Earlier work this paper cites.
“Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT”
Akshay Smit et al · 2020
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“How to create a great radiology report”
Michael Hartung, Ian Bickle, Frank Gaillard and Jeffrey Kanne · 2020
Earlier work this paper cites.
“Padchest: A large chest x-ray image dataset with multi-label annotated reports”
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas and Maria De-Vaya · 2020
Earlier work this paper cites.
“An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale”
Alexey Dosovitskiy et al · 2020
Earlier work this paper cites.
“Automatic medical image report generation with multi-view and multi-modal attention mechanism”
Shaokang Yang, Jianwei Niu, Jiyan Wu and Xuefeng Liu · 2020
Earlier work this paper cites.
“Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT”
Akshay Smit et al · 2020
Earlier work this paper cites.
“Automatic medical image report generation with multi-view and multi-modal attention mechanism”
Shaokang Yang, Jianwei Niu, Jiyan Wu and Xuefeng Liu · 2020
Earlier work this paper cites.
“Padchest: A large chest x-ray image dataset with multi-label annotated reports”
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas and Maria De-Vaya · 2020
Earlier work this paper cites.
“Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT”
Akshay Smit et al · 2020
Earlier work this paper cites.
“How to create a great radiology report”
Michael Hartung, Ian Bickle, Frank Gaillard and Jeffrey Kanne · 2020
Earlier work this paper cites.
“RadGraph: Extracting Clinical Entities and Relations from Radiology Reports”
Saahil Jain et al · 2021
Earlier work this paper cites.
“RadGraph: Extracting Clinical Entities and Relations from Radiology Reports”
Saahil Jain et al · 2021
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“TransVG: End-to-End Visual Grounding With Transformers”
Jiajun Deng et al · 2021
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“A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation”
William Boag et al · 2021
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“RadGraph: Extracting Clinical Entities and Relations from Radiology Reports”
Saahil Jain et al · 2021
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“RadGraph: Extracting Clinical Entities and Relations from Radiology Reports”
Saahil Jain et al · 2021
Earlier work this paper cites.
“TransVG: End-to-End Visual Grounding With Transformers”
Jiajun Deng et al · 2021
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“A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation”
William Boag et al · 2021
Earlier work this paper cites.
“Medical imaging: What you need to know”
UK HSA · 2022
Earlier work this paper cites.
“The evolving importance of artificial intelligence and radiology in medical trainee education”
Chanel Fischetti et al · 2022
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“Clinical Radiology Workforce Census 2022”
RCR · 2022
Earlier work this paper cites.
“VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations”
Ha Nguyen et al · 2022
Earlier work this paper cites.
“MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing (version 0.1)”
Benedikt Boecking et al · 2022
Earlier work this paper cites.
“Multimodal generation of radiology reports using knowledge-grounded extraction of entities and relations”
Francesco Dalla et al · 2022
Earlier work this paper cites.
“Pix2seq: A Language Modeling Framework for Object Detection”
Ting Chen et al · 2022
Earlier work this paper cites.
“UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling”
Zhengyuan Yang et al · 2022
Earlier work this paper cites.
“Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards”
Jean-Benoit Delbrouck et al · 2022
Earlier work this paper cites.
“Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation”
Feiyang Yu et al · 2022
Earlier work this paper cites.
“MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing (version 0.1)”
Benedikt Boecking et al · 2022
Earlier work this paper cites.
“The effect of clinical history on diagnostic imaging interpretation–A systematic review”
Kehn. Yapp, Patrick Brennan and Ernest Ekpo · 2022
Earlier work this paper cites.
“Multimodal generation of radiology reports using knowledge-grounded extraction of entities and relations”
Francesco Dalla et al · 2022
Earlier work this paper cites.
“Improving radiology report generation systems by removing hallucinated references to non-existent priors”
Vignav Ramesh, Nathan Chi and Pranav Rajpurkar · 2022
Earlier work this paper cites.
“Pix2seq: A Language Modeling Framework for Object Detection”
Ting Chen et al · 2022
Earlier work this paper cites.
“UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling”
Zhengyuan Yang et al · 2022
Earlier work this paper cites.
“BRAX, Brazilian labeled chest x-ray dataset”
Eduardo Reis et al · 2022
Earlier work this paper cites.
“Chain-of-thought prompting elicits reasoning in large language models”
Jason Wei et al · 2022
Cited alongside, same era.
“Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards”
Jean-Benoit Delbrouck et al · 2022
Cited alongside, same era.
“Evaluating Progress in Automatic Chest X-Ray Radiology Report Generation”
Feiyang Yu et al · 2022
Cited alongside, same era.
“Medical imaging: What you need to know”
UK HSA · 2022
Cited alongside, same era.
“The evolving importance of artificial intelligence and radiology in medical trainee education”
Chanel Fischetti et al · 2022
Cited alongside, same era.
“Clinical Radiology Workforce Census 2022”
RCR · 2022
Cited alongside, same era.
“Improved baselines with visual instruction tuning”
Haotian Liu, Chunyuan Li, Yuheng Li and Yong Lee · 2023
Later among the works it cites.
“Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality”, 2023
Wei-Lin Chiang et al · 2023
Later among the works it cites.
Hyungyung Lee et al · 2023
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“Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images”
Chayan Mondal et al · 2023
Later among the works it cites.
“Controllable chest X-ray report generation from longitudinal representations”
Francesco Dalla et al · 2023
Later among the works it cites.
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“VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations”
Ha Nguyen et al · 2022
Cited alongside, same era.
“MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing (version 0.1)”
Benedikt Boecking et al · 2022
Cited alongside, same era.
“Multimodal generation of radiology reports using knowledge-grounded extraction of entities and relations”
Francesco Dalla et al · 2022
Cited alongside, same era.
“Pix2seq: A Language Modeling Framework for Object Detection”
Ting Chen et al · 2022
Cited alongside, same era.
“UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling”
Zhengyuan Yang et al · 2022
Cited alongside, same era.
“Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards”
Jean-Benoit Delbrouck et al · 2022
Cited alongside, same era.
“Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports”
Qingqing Zhu et al · 2023
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“Grounding Multimodal Large Language Models to the World”
Zhiliang Peng et al · 2023
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“Radiology-GPT: A Large Language Model for Radiology”
Zhengliang Liu et al · 2023
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“Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment”
Zhihao Chen et al · 2023
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“Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography”
Michael Bernstein et al · 2023
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“Visual Grounding of Whole Radiology Reports for 3D CT Images”
Akimichi Ichinose et al · 2023
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“Interactive and Explainable Region-Guided Radiology Report Generation”
Tim Tanida, Philip Müller, Georgios Kaissis and Daniel Rueckert · 2023
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“Pragmatic Radiology Report Generation”
Dang Nguyen, Chacha Chen, He He and Chenhao Tan · 2023
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“MAIRA-1: A specialised large multimodal model for radiology report generation”
Stephanie. Hyland et al · 2023
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“Learning to exploit temporal structure for biomedical vision-language processing”
Shruthi Bannur et al · 2023
Later among the works it cites.
“Controllable chest X-ray report generation from longitudinal representations”
Francesco Dalla et al · 2023
Later among the works it cites.
“Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports”
Qingqing Zhu et al · 2023
Later among the works it cites.
Hyungyung Lee et al · 2023
Later among the works it cites.
“Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images”
Chayan Mondal et al · 2023
Later among the works it cites.
“Grounding Multimodal Large Language Models to the World”
Zhiliang Peng et al · 2023
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“Visual Instruction Tuning”
Haotian Liu, Chunyuan Li, Qingyang Wu and Yong Lee · 2023
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“FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation”
Sewon Min et al · 2023
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“Exploring the Boundaries of GPT-4 in Radiology”
Qianchu Liu et al · 2023
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“DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation”
Yiqing Xie et al · 2023
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“Radiology Report Expert Evaluation (ReXVal) Dataset (version 1.0.0)”, PhysioNet, 2023
Feiyang Yu et al · 2023
Later among the works it cites.
“Evaluating progress in automatic chest X-ray radiology report generation”
Feiyang Yu et al · 2023
Later among the works it cites.
Ryutaro Tanno et al · 2023
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“Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department”
Jonathan Huang et al · 2023
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