Difference between revisions of "2017 Winter Project Week/Deep Learning for Medical Image Computation"
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<!-- 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) --> | ||
− | * | + | * All sessions were well attended (30-100 attendees). Specific feedback: google tensorflow tutorial should have been the first one in the series |
* MGH Center for Clinical Data Science presented and loaned high performance machines for the week | * MGH Center for Clinical Data Science presented and loaned high performance machines for the week | ||
* Successful use of prostate segmentation code across multiple institutions | * Successful use of prostate segmentation code across multiple institutions |
Latest revision as of 13:05, 13 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 |
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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)