2017 Winter Project Week/Deep Learning for Medical Image Computation

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  Projects List

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
To provide an introduction to proven concepts from Deep Learning that are making high impact in medical image computation.	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) Basic Concepts in Neural Network Methodology (Mohsen Ghafoorian) (Tuesday 1-3pm) Tensorflow Workshop (Luis Ibanez) (Wednesday 10am-12pm) Methodology Continued: Unet, Segmentation (Mohsen Ghafoorian) (Wednesday 3-3:45pm) DeepInfer Extension Manager for an Open Source Repository for Deep Learning networks (Alireza Mehrtash) (Wednesday 3:45-4pm)

Background and References

File:Basic concepts.pptx Presentation on basic concepts in neural networks (By Mohsen Ghafoorian) [[File: State_of_the_rt_CNNs.pptx]] Presentation on State-of-the-art CNN architectures (By Mohsen Ghafoorian)