Difference between revisions of "2017 Winter Project Week/Deep Learning for Medical Image Computation"
From NAMIC Wiki
Line 42: | Line 42: | ||
<!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | <!-- Use this space for information that may help people better understand your project, like links to papers, source code, or data --> | ||
*[[File:Basic_concepts.pptx]] Presentation on basic concepts in neural networks (By Mohsen Ghafoorian) | *[[File:Basic_concepts.pptx]] Presentation on basic concepts in neural networks (By Mohsen Ghafoorian) | ||
− | *[[File: | + | *[[File:State_of_the_art_CNNs.pptx]] Presentation on State-of-the-art CNN architectures (By Mohsen Ghafoorian) |
Revision as of 03:31, 10 January 2017
Home < 2017 Winter Project Week < Deep Learning for Medical Image ComputationKey Investigators
- Tina Kapur, BWH/HMS
- Steve Pieper, Isomics
- Abdul Al Halabi, nVIDIA
- Abel Brown, nVIDIA
- Joshua Moore, MGH Clinical Data Science Center
- Mohsen Ghafoorian, Radboud University
- Luis Ibanez, Google
- Alireza Mehrtash, UBC/BWH
Project Description
Objective | Approach and Plan | Progress and Next Steps |
---|---|---|
|
|
|
Background and References
- File:Basic concepts.pptx Presentation on basic concepts in neural networks (By Mohsen Ghafoorian)
- File:State of the art CNNs.pptx Presentation on State-of-the-art CNN architectures (By Mohsen Ghafoorian)