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The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases.
A simple algorithm for identifying negated findings and diseases in discharge summaries
W. W. Chapman, W. Bridewell, P. Hanbury, G. F. Cooper, and B. G. Buchanan · 2001
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Coarse-to-fine n-best parsing and MaxEnt discriminative reranking
E. Charniak and M. Johnson · 2005
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Natural language processing with Python
S. Bird, E. Klein, and E. Loper · 2009
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Any domain parsing: automatic domain adaptation for natural language parsing
D. McClosky · 2009
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An overview of MetaMap: historical perspective and recent advances
A. R. Aronson and F.-M. Lang · 2010
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Selective search for object recognition
J. R. Uijlings, K. E. van de Sande, T. Gevers, and A. W. Smeulders · 2013
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Two public chest x-ray datasets for computer-aided screening of pulmonary diseases
S. Jaeger, S. Candemir, S. Antani, Y.-X. J. Wáng, P.-X. Lu, and G. Thoma · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and L. Zitnick · 2014
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A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations
H. R. Roth, L. Lu, A. Seff, K. M. Cherry, J. Hoffman, S. Wang, J. Liu, E. Turkbey, and R. M. Summers · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
P. Young, A. Lai, M. Hodosh, and J. Hockenmaier · 2014
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Vqa: Visual question answering
S. Antol, A. Agrawal, J. Lu, M. Mitchell, D. Batra, and L. Zitnick · 2015
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Predicting deep zero-shot convolutional neural networks using textual descriptions
J. Ba, K. Swersky, S. Fidler, and R. Salakhutdinov · 2015
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Stanford typed dependencies manual
M.-C. De Marneffe and C. D. Manning · 2015
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Preparing a collection of radiology examinations for distribution and retrieval
D. Demner-Fushman, M. D. Kohli, M. B. Rosenman, S. E. Shooshan, L. Rodriguez, S. Antani, G. R. Thoma, and C. J. McDonald · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. J. Van Gool, C. Williams, J. Winn, and A. Zisserman · 2015
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Self-transfer learning for weakly supervised lesion localization
S. Hwang and H.-E. Kim · 2015
Cited alongside, same era.
Deep visual-semantic alignments for generating image descriptions
A. Karpathy and L. Fei-Fei · 2015
Cited alongside, same era.
Challenges in clinical natural language processing for automated disorder normalization
R. Leaman, R. Khare, and Z. Lu · 2015
Cited alongside, same era.
Is object localization for free?-weakly-supervised learning with convolutional neural networks
Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique
H. Greenspan, B. van Ginneken, and R. M. Summers · 2016
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Low-shot visual object recognition
B. Hariharan and R. Girshick · 2016
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Hemis: Hetero-modal image segmentation
M. Havaei, N. Guizard, N. Chapados, and Y. Bengio · 2016
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What makes for effective detection proposals?
J. Hosang, R. Benenson, P. Dollár, and B. Schiele · 2016
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Spinenet: Automatically pinpointing classification evidence in spinal mris
A. Jamaludin, T. Kadir, and A. Zisserman · 2016
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Densecap: Fully convolutional localization networks for dense captioning
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M. Oquab, L. Bottou, I. Laptev, and J. Sivic · 2015
Cited alongside, same era.
From image-level to pixel-level labeling with convolutional networks
P. O. Pinheiro and R. Collobert · 2015
Cited alongside, same era.
Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
B. Plummer, L. Wang, C. Cervantes, J. Caicedo, J. Hockenmaier, and S. Lazebnik · 2015
Cited alongside, same era.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
H. Roth, L. Lu, A. Farag, H.-C. Shin, J. Liu, E. B. Turkbey, and R. M. Summers · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. Berg, and L. Fei-Fei · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
Cited alongside, same era.
J. Johnson, A. Karpathy, and L. Fei-Fei · 2016
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D. A. Shamma, M. Bernstein, and L. Fei-Fei · 2016
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Deep learning for multi-task medical image segmentation in multiple modalities
P. Moeskops, J. Wolterink, B. van der Velden, K. Gilhuijs, T. Leiner, M. Viergever, and I. Isgum · 2016
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Less is more: zero-shot learning from online textual documents with noise suppression
R. Qiao, L. Liu, C. Shen, and A. van den Hengel · 2016
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Pulmonary nodule detection in ct images: False positive reduction using multi-view convolutional networks
A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez, and B. van Ginneken · 2016
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Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
H. Shin, L. Lu, L. Kim, A. Seff, J. Yao, and R. Summers · 2016
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Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
H. Shin, K. Roberts, L. Lu, D. Demner-Fushman, J. Yao, and R. Summers · 2016
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Deep convolutional neural networks for computer-aided detection: Cnn architectures, dataset characteristics and transfer learnings
H. Shin, H. Roth, M. Gao, L. Lu, Z. Xu, I. Nogues, J. Yao, D. Mollura, and R. Summers · 2016
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Order-embeddings of images and language
I. Vendrov, R. Kiros, S. Fidler, and R. Urtasun · 2016
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Genodisc dataset: The benefits of multi-disciplinary research on intervertebral disc degeneration
H.-J. Wilke, M. Kümin, and J. Urban · 2016
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Ask me anything: free-form visual question answering based on knowledge from external sources
Q. Wu, P. Wang, C. Shen, A. Dick, and A. van den Hengel · 2016
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A multi-center milestone study of clinical vertebral ct segmentation
J. Yao and et al · 2016
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Visual7w: Grounded question answering in images
Y. Zhu, O. Groth, M. Bernstein, and L. Fei-Fei · 2016
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