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Medical Vision-Language Pre-training (VLP) learns representations jointly from medical images and paired radiology reports.
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.
Quantifying the costs and benefits of privacy-preserving health data publishing
Rashid Hussain Khokhar, Rui Chen, Benjamin CM Fung, and Siu Man Lui · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Yolov3: An incremental improvement
Joseph Redmon and Ali Farhadi · 2018
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Representation learning with contrastive predictive coding
Aäron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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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
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Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
George Shih, Carol C Wu, Safwan S Halabi, Marc D Kohli, Luciano M Prevedello, Tessa S Cook, Arjun Sharma, Judith K Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, et al · 2019
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Siim-acr pneumothorax segmentation
CIIP Steven G. Langer, PhD and MS George Shih, MD · 2019
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Object-cxr-automatic detection of foreign objects on chest x-rays, 2020
J Healthcare · 2020
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Secure, privacy-preserving and federated machine learning in medical imaging
Georgios A Kaissis, Marcus R Makowski, Daniel Rückert, and Rickmer F Braren · 2020
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Prototypical contrastive learning of unsupervised representations
Junnan Li, Pan Zhou, Caiming Xiong, and Steven CH Hoi · 2020
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Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
Linda Wang, Zhong Qiu Lin, and Alexander Wong · 2020
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Contrastive learning of medical visual representations from paired images and text
Yuhao Zhang, Hang Jiang, Yasuhide Miura, Christopher D Manning, and Curtis P Langlotz · 2020
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Differential privacy in health research: A scoping review
Joseph Ficek, Wei Wang, Henian Chen, Getachew Dagne, and Ellen Daley · 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
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Multi-granularity cross-modal alignment for generalized medical visual representation learning
Fuying Wang, Yuyin Zhou, Shujun Wang, Varut Vardhanabhuti, and Lequan Yu · 2022
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Going beyond nouns with vision & language models using synthetic data
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogerio Feris, et al · 2023
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Generative text-guided 3d vision-language pretraining for unified medical image segmentation
Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, and Zhiwei Xiong · 2023
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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
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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 · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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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
Cited in the paper.
Maskclip: Masked self-distillation advances contrastive language-image pretraining
Xiaoyi Dong, Jianmin Bao, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, et al · 2023
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Frozen language model helps ecg zero-shot learning
Jun Li, Che Liu, Sibo Cheng, Rossella Arcucci, and Shenda Hong · 2023
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Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, and Rossella Arcucci · 2023
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Exploring image augmentations for siamese representation learning with chest x-rays
Rogier van der Sluijs, Nandita Bhaskhar, Daniel Rubin, Curtis Langlotz, and Akshay Chaudhari · 2023
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Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias
Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, and Rossella Arcucci · 2023
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