Difference between revisions of "2017 Winter Project Week/OCM-MRI"

Latest revision as of 15:41, 13 January 2017

Objective	Approach and Plan	Progress and Next Steps
To investigate the use of Deep Learning for the generation of synthetic respiratory MR images.	Look into different software frameworks, choose one Investigate generative deep neural network techniques Produce preliminary results on hybrid US+MRI data	Discussions Installation of and finding our way around Keras and TensorFlow Network candidates: CNN with logistic regression output, Generative Adversarial Networks (GAN), Variational Autoencoders In particular, Variational Autoencoders are able to model conditional distributions as required here

@@ Line 26: / Line 26: @@
 |
 <!-- Progress and Next steps bullet points (fill out at the end of project week) -->
-* Identified Generative Adversarial Networks (GAN) and Variational Autoencoders as possible approach
+* Discussions
+* Installation of and finding our way around Keras and TensorFlow
+* Network candidates: CNN with logistic regression output, Generative Adversarial Networks (GAN), Variational Autoencoders
+* In particular, Variational Autoencoders are able to model conditional distributions as required here
 |}