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Medical imaging analysis plays a critical role in the diagnosis and treatment of various medical conditions.
Rising Use Of Diagnostic Medical Imaging In A Large Integrated Health System
Rebecca Smith-Bindman, Diana L. Miglioretti, and Eric B. Larson · 2008
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Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Foreign object detection in chest x-rays
Zhiyun Xue, Sema Candemir, Sameer Antani, L. Long, Stefan Jaeger, Dina Demner-Fushman, and George Thoma · 2015
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Mimic-iii, a freely accessible critical care database
Alistair EW Johnson, Tom J Pollard, Lu Shen, Li-wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, and Roger G Mark · 2016
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Learning semantic concepts and order for image and sentence matching
Yan Huang, Qi Wu, and Liang Wang · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Stacked cross attention for image-text matching
Kuang-Huei Lee, Xi Chen, Gang Hua, Houdong Hu, and Xiaodong He · 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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Publicly available clinical BERT embeddings
Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew B. A. McDermott · 2019
Cited alongside, same era.
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 L. Ball, Katie S. 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
Cited alongside, same era.
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, and Steven Horng · 2019
Cited alongside, same era.
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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Similarity reasoning and filtration for image-text matching
Haiwen Diao, Ying Zhang, Lin Ma, and Huchuan Lu · 2021
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Joint learning of localized representations from medical images and reports
Philip Müller, Georgios Kaissis, Congyu Zou, and Daniel Rueckert · 2021
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Making the most of text semantics to improve biomedical vision–language processing
Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, and Ozan Oktay · 2022
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Visual semantic reasoning for image-text matching
Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, and Yun Fu · 2019
Cited alongside, same era.
Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
George Shih, Carol wu, Safwan Halabi, Marc Kohli, Luciano Prevedello, Tessa Cook, Arjun Sharma, Judith Amorosa, Veronica Arteaga, Maya Galperin-Aizenberg, Ritu Gill, Myrna Godoy, Stephen Hobbs, Jean Jeudy, Archana Laroia, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, and Anouk Stein · 2019
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2020
Cited alongside, same era.
Oscar: Object-semantics aligned pre-training for vision-language tasks
Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, and Jianfeng Gao · 2020
Cited alongside, same era.
Society for imaging informatics in medicine: Siim-acr pneumothorax segmentation
Cited in the paper.
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
Cited in the paper.
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Young-Hak Kim, and Edward Choi
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A survey of vision-language pre-trained models
Yifan Du, Zikang Liu, Junyi Li, and Wayne Xin Zhao · 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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Medclip: Contrastive learning from unpaired medical images and text
Zifeng Wang, Zhenbang Wu, Dinesh Agarwal, and Jimeng Sun · 2022
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