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Recently large vision-language models have shown potential when interpreting complex images and generating natural language descriptions using advanced reasoning.
The use of the area under the roc curve in the evaluation of machine learning algorithms
Andrew P. Bradley · 1997
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Open-access mimic-ii database for intensive care research
Joon Lee, Daniel J Scott, Mauricio Villarroel, Gari D Clifford, Mohammed Saeed, and Roger G Mark · 2011
Earlier work this paper cites.
Deep residual learning for image recognition, 2015
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
Attention is all you need
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Earlier work this paper cites.
Daily routine versus on-demand chest radiograph policy and practice in adult icu patients- clinicians’ perspective
Abdullah Al Shahrani and Khaled Al-Surimi · 2018
Earlier work this paper cites.
Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
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Earlier work this paper cites.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison, 2019
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 2019
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Domain-specific language model pretraining for biomedical natural language processing, 2020
Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2020
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz, and Dan Jurafsky · 2021
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Vindr-cxr: An open dataset of chest x-rays with radiologist’s annotations
H.Q. Nguyen, K. Lam, L.T. Le, et al · 2022
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Improving radiology report generation systems by removing hallucinated references to non-existent priors, 2022
Vignav Ramesh, Nathan Andrew Chi, and Pranav Rajpurkar · 2022
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Microsoft hi-ml repository
Microsoft · 2023
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Maira-1: A specialised large multimodal model for radiology report generation
Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, Noel Codella, Matthew P Lungren, Maria Teodora Wetscherek, Ozan Oktay, and Javier Alvarez-Valle · 2023
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Towards generalist biomedical ai, 2023
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Chuck Lau, Ryutaro Tanno, Ira Ktena, Basil Mustafa, Aakanksha Chowdhery, Yun Liu, Simon Kornblith, David Fleet, Philip Mansfield, Sushant Prakash, Renee Wong, Sunny Virmani, Christopher Semturs, S Sara Mahdavi, Bradley Green, Ewa Dominowska, Blaise Aguera y Arcas, Joelle Barral, Dale Webster, Greg S. Corrado, Yossi Matias, Karan Singhal, Pete Florence, Alan Karthikesalingam, and Vivek Natarajan · 2023
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Mistral 7b, 2023
Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed · 2023
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Population estimates for the uk, mar 2024
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TorchXRayVision: A library of chest X-ray datasets and models
Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, and Hadrien Bertrand · 2022
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Ai-based radiodiagnosis using chest x-rays: A review
Y Akhter, R Singh, and M Vatsa · 2023
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Annual statistical release 2022-2023
National Health Service (NHS) · 2023
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Learning to exploit temporal structure for biomedical vision-language processing
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Making the most of text semantics to improve biomedical vision-language processing
Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, and Ozan Oktay
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Radnli: A natural language inference dataset for the radiology domain (version 1.0.0)
Yuta Miura, Yuhao Zhang, Eugene Tsai, Curtis Langlotz, and Dan Jurafsky
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