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

From NAMIC Wiki
Jump to: navigation, search
Line 26: Line 26:
 
|
 
|
 
<!-- Progress and Next steps bullet points (fill out at the end of project week) -->
 
<!-- 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
 
|}
 
|}
  

Revision as of 17:03, 10 January 2017

Home < 2017 Winter Project Week < OCM-MRI

Key Investigators

  • Frank Preiswerk, Brigham and Women's Hospital, Harvard Medical School
  • Yaofei Wang (Vivian), Tianjin University, Beijing, China

Project Description

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 possible approach

Background and References