Fetching the paper…
Reading the bibliography…
X-rays are commonly performed imaging tests that use small amounts of radiation to produce pictures of the organs, tissues, and bones of the body.
Clinical Radiology 52(3), 235–238 (1997)
Tudor, G., Finlay, D., Taub, N.: An assessment of inter-observer agreement and accuracy when reporting plain radiographs · 1997
Earlier work this paper cites.
In: ICANN (2011)
Masci, J., Meier, U., Ciresan, D., Schmidhuber, J.: Stacked convolutional auto-encoders for hierarchical feature extraction · 2011
Earlier work this paper cites.
In: NIPS. pp. 1106–1114 (2012)
Krizhevsky, A., Sutskever, I., Hinton, G.: Imagenet classification with deep convolutional neural networks · 2012
Earlier work this paper cites.
In: NIPS (2014)
Mnih, V., et al.: Recurrent models of visual attention · 2014
Earlier work this paper cites.
In: ICLR (2015)
Ba, J., Mnih, V., Kavukcuoglu, K.: Multiple object recognition with visual attention · 2015
Cited alongside, same era.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition · 2015
Cited alongside, same era.
Sermanet, P., Frome, A., Real, E.: Attention for fine-grained categorization · 2015
Cited alongside, same era.
In: ICLR (2015)
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large scale image recognition · 2015
Later among the works it cites.
Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision · 2015
Later among the works it cites.
In: In EMNLP (2016)
Cornegruta, S., Bakewell, R., Withey, S., Montana, G.: Modelling radiological language with bidirectional long short-term memory networks · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…