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

Revision as of 17:04, 10 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	Identified Generative Adversarial Networks (GAN) and Variational Autoencoders as candidates In particular, Variational Autoencoders are able to model conditional distributions as required here

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 <!-- 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
+* Identified Generative Adversarial Networks (GAN) and Variational Autoencoders as candidates
 * In particular, Variational Autoencoders are able to model conditional distributions as required here
 |}