Week 1 – Intro to Python for Deep Learning

Opening Ceremony

June 12th at 14:00-15:30 EDT

Speaker: Dr. Shirin Abbasinejad Enger

Dr. Enger will give an introduction to McMedHacks, our team and our mission in the coming weeks. Dr. Enger will also give an overview of the use of AI in improving the quality, automation and speed up of the entire workflow in radiotherapy, from patient positioning to absorbed dose calculations, treatment planning and plan verification.

Workshop 1 – Introduction to Python for Deep Learning

June 13th at 10:00-11:30 EDT

Instructors: Yujing Zou, Luca Weishaupt , Hossein Jafarzadeh

We will give an introduction to why we are interested in using multiple diagnostic imaging modalities to perform treatment outcome prediction and deep learning. This will lead to our program overview for weekly topics.

An introduction to Python and Google Colab will be given. This 1st workshop will teach our participants how to use Python packages for image analysis and deep learning that will be used throughout the future workshops. Pytorch, an open source machine learning framework to be used in Workshop 2, will also be introduced. We adopt a top-down approach in the teaching this workshop where every fundamental Python coding concept will be presented and then followed by an example in practical deep learning. In addition, we will also touch on the basics of medical image pre-processing toolkits that will be used in later workshops.


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