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Learning medical visual representations directly from paired radiology reports has become an emerging topic in representation learning.
Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. LeCun · 2006
Earlier work this paper cites.
Visualizing data using t-sne
L. Van der Maaten and G. Hinton · 2008
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Sinkhorn distances: Lightspeed computation of optimal transport
M. Cuturi · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhudinov, R. Zemel, and Y. Bengio · 2015
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Earlier work this paper cites.
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
V. Gulshan, L. Peng, M. Coram, M. C. Stumpe, D. Wu, A. Narayanaswamy, S. Venugopalan, K. Widner, T. Madams, J. Cuadros, et al · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Sgdr: Stochastic gradient descent with warm restarts
I. Loshchilov and F. Hutter · 2016
Earlier work this paper cites.
Hierarchical question-image co-attention for visual question answering
J. Lu, J. Yang, D. Batra, and D. Parikh · 2016
Earlier work this paper cites.
Dermatologist-level classification of skin cancer with deep neural networks
A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter, H. M. Blau, and S. Thrun · 2017
Earlier work this paper cites.
Vse++: Improving visual-semantic embeddings with hard negatives
F. Faghri, D. J. Fleet, J. R. Kiros, and S. Fidler · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
I. Loshchilov and F. Hutter · 2017
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, and R. M. Summers · 2017
Earlier work this paper cites.
Clinically applicable deep learning for diagnosis and referral in retinal disease
J. De Fauw, J. R. Ledsam, B. Romera-Paredes, S. Nikolov, N. Tomasev, S. Blackwell, H. Askham, X. Glorot, B. O’Donoghue, D. Visentin, et al · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
Earlier work this paper cites.
Finding beans in burgers: Deep semantic-visual embedding with localization
M. Engilberge, L. Chevallier, P. Pérez, and M. Cord · 2018
Earlier work this paper cites.
Learning semantic concepts and order for image and sentence matching
Y. Huang, Q. Wu, C. Song, and L. Wang · 2018
Earlier work this paper cites.
Stacked cross attention for image-text matching
K.-H. Lee, X. Chen, G. Hua, H. Hu, and X. He · 2018
Cited alongside, same era.
Representation learning with contrastive predictive coding
A. v. d. Oord, Y. Li, and O. Vinyals · 2018
Cited alongside, same era.
Deep learning for chest radiograph diagnosis: A retrospective comparison of the chexnext algorithm to practicing radiologists
P. Rajpurkar, J. Irvin, R. L. Ball, K. Zhu, B. Yang, H. Mehta, T. Duan, D. Ding, A. Bagul, C. P. Langlotz, et al · 2018
Cited alongside, same era.
Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
Cited alongside, same era.
Publicly available clinical bert embeddings
E. Alsentzer, J. R. Murphy, W. Boag, W.-H. Weng, D. Jin, T. Naumann, and M. McDermott · 2019
Object-cxr - automatic detection of foreign objects on chest x-rays
J. Healthcare · 2020
Later among the works it cites.
A survey on contrastive self-supervised learning
A. Jaiswal, A. R. Babu, M. Z. Zadeh, D. Banerjee, and F. Makedon · 2020
Later among the works it cites.
Contrastive representation learning: A framework and review
P. H. Le-Khac, G. Healy, and A. F. Smeaton · 2020
Later among the works it cites.
Prototypical contrastive learning of unsupervised representations
J. Li, P. Zhou, C. Xiong, and S. C. Hoi · 2020
Later among the works it cites.
Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
L. Wang, Z. Q. Lin, and A. Wong · 2020
Later among the works it cites.
Contrastive learning of medical visual representations from paired images and text
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Siim-acr pneumothorax segmentation
S. for Imaging Informatics in Medicine · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J. Irvin, P. Rajpurkar, M. Ko, Y. Yu, S. Ciurea-Ilcus, C. Chute, H. Marklund, B. Haghgoo, R. Ball, K. Shpanskaya, et al · 2019
Cited alongside, same era.
Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
A. E. Johnson, T. J. Pollard, S. J. Berkowitz, N. R. Greenbaum, M. P. Lungren, C.-y. Deng, R. G. Mark, and S. Horng · 2019
Cited alongside, same era.
Visual semantic reasoning for image-text matching
K. Li, Y. Zhang, K. Li, Y. Li, and Y. Fu · 2019
Cited alongside, same era.
Augmenting the national institutes of health chest radiograph dataset with expert annotations of possible pneumonia
G. Shih, C. C. Wu, S. S. Halabi, M. D. Kohli, L. M. Prevedello, T. S. Cook, A. Sharma, J. K. Amorosa, V. Arteaga, M. Galperin-Aizenberg, et al · 2019
Cited alongside, same era.
Vl-bert: Pre-training of generic visual-linguistic representations
W. Su, X. Zhu, Y. Cao, B. Li, L. Lu, F. Wei, and J. Dai · 2019
Cited alongside, same era.
Lxmert: Learning cross-modality encoder representations from transformers
H. Tan and M. Bansal · 2019
Cited alongside, same era.
Y. Zhang, H. Jiang, Y. Miura, C. D. Manning, and C. P. Langlotz · 2020
Later among the works it cites.
Similarity reasoning and filtration for image-text matching
H. Diao, Y. Zhang, L. Ma, and H. Lu · 2021
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Pneumonia detection on chest x-ray using radiomic features and contrastive learning
Y. Han, C. Chen, A. Tewfik, Y. Ding, and Y. Peng · 2021
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Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
S.-C. Huang, L. Shen, M. P. Lungren, and S. Yeung · 2021
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Contrastive clustering
Y. Li, P. Hu, Z. Liu, D. Peng, J. T. Zhou, and X. Peng · 2021
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Joint learning of localized representations from medical images and reports
P. Müller, G. Kaissis, C. Zou, and D. Rückert · 2021
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Unsupervised feature learning by cross-level instance-group discrimination
X. Wang, Z. Liu, and S. X. Yu · 2021
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Dense contrastive learning for self-supervised visual pre-training
X. Wang, R. Zhang, C. Shen, T. Kong, and L. Li · 2021
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Detco: Unsupervised contrastive learning for object detection
E. Xie, J. Ding, W. Wang, X. Zhan, H. Xu, P. Sun, Z. Li, and P. Luo · 2021
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Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning
Z. Xie, Y. Lin, Z. Zhang, Y. Cao, S. Lin, and H. Hu · 2021
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Hcsc: Hierarchical contrastive selective coding
Y. Guo, M. Xu, J. Li, B. Ni, X. Zhu, Z. Sun, and Y. Xu · 2022
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J. Li, D. Li, C. Xiong, and S. Hoi · 2022
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Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics
A. Taleb, M. Kirchler, R. Monti, and C. Lippert · 2022
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Groupvit: Semantic segmentation emerges from text supervision
J. Xu, S. De Mello, S. Liu, W. Byeon, T. Breuel, J. Kautz, and X. Wang · 2022
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Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports
H.-Y. Zhou, X. Chen, Y. Zhang, R. Luo, L. Wang, and Y. Yu · 2022
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