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Since the release of the original CheXpert paper five years ago, CheXpert has become one of the most widely used and cited clinical AI datasets.
Bimcv covid-19+: a large annotated dataset of rx and ct images from covid-19 patients
Maria De La Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell, Antonio Pertusa, Aurelia Bustos, Miguel Cazorla, Joaquin Galant, Xavier Barber, Domingo Orozco-Beltrán, Francisco García-García, et al. 2020 · 2006
Earlier work this paper cites.
Design and development of a multimodal biomedical information retrieval system
Dina Demner-Fushman, Sameer Antani, Matthew Simpson, and George R Thoma. 2012 · 2012
Earlier work this paper cites.
Hiding in plain sight: Use of realistic surrogates to reduce exposure of protected health information in clinical text
David Carrell, Bradley Malin, John Aberdeen, Samuel Bayer, Cheryl Clark, Ben Wellner, and Lynette Hirschman. 2013 · 2013
Earlier work this paper cites.
Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al. 2019 · 2019
Earlier work this paper cites.
Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng. 2019 · 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 La Iglesia-Vaya. 2020 · 2020
Earlier work this paper cites.
Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan. 2020 · 2020
Earlier work this paper cites.
Vinbigdata chest x-ray abnormalities detection
H Nguyen, HH Pham, NT Nguyen, DB Nguyen, M Dao, V Vu, K Lam, and LT Le. 2020 · 2020
Earlier work this paper cites.
Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, and Matthew P. Lungren. 2020 · 2020
Earlier work this paper cites.
Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021 · 2021
Earlier work this paper cites.
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 · 2021
Cited alongside, same era.
Radgraph: Extracting clinical entities and relations from radiology reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta, Steven QH Truong, Du Nguyen Duong, Tan Bui, Pierre Chambon, Yuhao Zhang, Matthew P. Lungren, Andrew Y. Ng, Curtis P. Langlotz, and Pranav Rajpurkar. 2021 · 2021
Cited alongside, same era.
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 · 2021
Cited alongside, same era.
Improving the factual correctness of radiology report generation with semantic rewards
Jean-Benoit Delbrouck, Pierre Chambon, Christian Bluethgen, Emily Tsai, Omar Almusa, and Curtis Langlotz. 2022 · 2022
Cited alongside, same era.
Brax, brazilian labeled chest x-ray dataset
Med-flamingo: a multimodal medical few-shot learner
Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, and Pranav Rajpurkar. 2023 · 2023
Later among the works it cites.
Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al. 2023 · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
Later among the works it cites.
Villa: Fine-grained vision-language representation learning from real-world data
Maya Varma, Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, and Curtis Langlotz. 2023 · 2023
Later among the works it cites.
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Eduardo P Reis, Joselisa PQ de Paiva, Maria CB da Silva, Guilherme AS Ribeiro, Victor F Paiva, Lucas Bulgarelli, Henrique MH Lee, Paulo V Santos, Vanessa M Brito, Lucas TW Amaral, et al. 2022 · 2022
Cited alongside, same era.
Contrastive learning of medical visual representations from paired images and text
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz. 2022 · 2022
Cited alongside, same era.
Learning to exploit temporal structure for biomedical vision-language processing
Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Perez-Garcia, Maximilian Ilse, Daniel C Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, et al. 2023 · 2023
Cited alongside, same era.
Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Malte Jensen, Matthew P Lungren, Serena Yeung, and Akshay S Chaudhari. 2023 · 2023
Cited alongside, same era.
Maira-1: A specialised large multimodal model for radiology report generation
Stephanie L Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C Castro, Mercy Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury Srivastav, Anja Thieme, et al. 2023 · 2023
Cited alongside, same era.
Roentgen: Vision-language foundation model for chest x-ray generation
Pierre Chambon, Christian Bluethgen, Jean-Benoit Delbrouck, Rogier Van der Sluijs, Małgorzata Połacin, Juan Manuel Zambrano Chaves, Tanishq Mathew Abraham, Shivanshu Purohit, Curtis P Langlotz, and Akshay Chaudhari. 2022a
Cited in the paper.
Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods
Pierre J Chambon, Christopher Wu, Jackson M Steinkamp, Jason Adleberg, Tessa S Cook, and Curtis P Langlotz. 2022b
Cited in the paper.
Curation of the candid-ptx dataset with free-text reports
Sijing Feng, Damian Azzollini, Ji Soo Kim, Cheng-Kai Jin, Simon P Gordon, Jason Yeoh, Eve Kim, Mina Han, Andrew Lee, Aakash Patel, et al. 2021a
Cited in the paper.
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie. 2023 · 2023
Later among the works it cites.
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, et al. 2024 · 2024
Closest in time.
Chexagent: Towards a foundation model for chest x-ray interpretation
Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, et al. 2024 · 2024
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Towards generalist biomedical ai
Tao Tu, Shekoofeh Azizi, Danny Driess, Mike Schaekermann, Mohamed Amin, Pi-Chuan Chang, Andrew Carroll, Charles Lau, Ryutaro Tanno, Ira Ktena, et al. 2024 · 2024
Closest in time.
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M Summers. 2017 · 2097
Closest in time.