Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks

8 September 2016

Papers citing "Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks"

7 / 7 papers shown

Title
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 64 1,369 0 09 Jul 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 145 8,309 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 920 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 188 14,703 0 20 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 189 3,414 0 14 May 2014
Recognizing Image Style Sergey Karayev Matthew Trentacoste Helen Han A. Agarwala Trevor Darrell Aaron Hertzmann Holger Winnemoeller 53 459 0 15 Nov 2013