Joseph Barfett

According to our database1, Joseph Barfett authored at least 11 papers between 2017 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2019

Privacy Preserving Deep Learning with Distributed Encoders.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Recent Advances in Recurrent Neural Networks.
CoRR, 2018

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Image Augmentation Using Radial Transform for Training Deep Neural Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Interpretation of Mammogram and Chest Radiograph Reports using Deep Neural Networks - Preliminary Results.
CoRR, 2017

Training Neural Networks with Very Little Data - A Draft.
CoRR, 2017

A Convolutional Neural Network for Search Term Detection-A Draft.
CoRR, 2017

A convolutional neural network for search term detection.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017


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