Difference between revisions of "2017 Winter Project Week/Deep Learning for Medical Image Computation"
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==Key Investigators== | ==Key Investigators== | ||
*Tina Kapur, BWH/HMS | *Tina Kapur, BWH/HMS | ||
| + | *Steve Pieper, Isomics | ||
*Abdul Al Halabi, nVIDIA | *Abdul Al Halabi, nVIDIA | ||
*Abel Brown, nVIDIA | *Abel Brown, nVIDIA | ||
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
* 11 Projects that plan to use/investigate Deep Learning on Medical Images + clinical data | * 11 Projects that plan to use/investigate Deep Learning on Medical Images + clinical data | ||
| − | * | + | * Deep Learning hands-on tutorial: Image segmentation lab with TensorFlow (Abel Brown, Abdul Alhalabi) (Monday 3-5pm) |
| + | * Deep Learning hands-on tutorial: Electronic health records lab with Keras (Abel Brown, Abdul Alhalabi) (Monday 5:30-7pm) | ||
* Newly Launched MGH Clinical Data Science Center with focus on GPU and Machine Learning (Joshua Moore) (Monday 5-5:30pm) | * Newly Launched MGH Clinical Data Science Center with focus on GPU and Machine Learning (Joshua Moore) (Monday 5-5:30pm) | ||
*Basic Concepts in Neural Network Methodology (Mohsen Ghafoorian) (Tuesday 1-3pm) | *Basic Concepts in Neural Network Methodology (Mohsen Ghafoorian) (Tuesday 1-3pm) | ||
*Tensorflow Workshop (Luis Ibanez) (Wednesday 10am-12pm) | *Tensorflow Workshop (Luis Ibanez) (Wednesday 10am-12pm) | ||
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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 | ||
| + | * Successful use of prostate segmentation code across multiple institutions | ||
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==Background and References== | ==Background and References== | ||
<!-- 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:State_of_the_art_CNNs.pptx]] Presentation on State-of-the-art CNN architectures (By Mohsen Ghafoorian) | ||
Latest revision as of 13:05, 13 January 2017
Home < 2017 Winter Project Week < Deep Learning for Medical Image Computation
Key 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)
