Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning
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DOI: 10.1038/s41467-024-51749-0
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- Qi Chang & Zhennan Yan & Mu Zhou & Hui Qu & Xiaoxiao He & Han Zhang & Lohendran Baskaran & Subhi Al’Aref & Hongsheng Li & Shaoting Zhang & Dimitris N. Metaxas, 2023. "Mining multi-center heterogeneous medical data with distributed synthetic learning," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
- Michael Moor & Oishi Banerjee & Zahra Shakeri Hossein Abad & Harlan M. Krumholz & Jure Leskovec & Eric J. Topol & Pranav Rajpurkar, 2023. "Foundation models for generalist medical artificial intelligence," Nature, Nature, vol. 616(7956), pages 259-265, April.
- Yukun Zhou & Mark A. Chia & Siegfried K. Wagner & Murat S. Ayhan & Dominic J. Williamson & Robbert R. Struyven & Timing Liu & Moucheng Xu & Mateo G. Lozano & Peter Woodward-Court & Yuka Kihara & Andre, 2023. "A foundation model for generalizable disease detection from retinal images," Nature, Nature, vol. 622(7981), pages 156-163, October.
- Xiaoman Zhang & Chaoyi Wu & Ya Zhang & Weidi Xie & Yanfeng Wang, 2023. "Knowledge-enhanced visual-language pre-training on chest radiology images," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
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