Our mission is to teach students and researchers new to the field the fundamentals of medical image analysis and deep learning in Python. McMedHacks is a program organized by students of the EngerLab at McGill Medical Physics Unit and the Lady Davis Institute and consists of a workshop series and a hackathon.

The Workshops

From June 12th – July 31st, we will be hosting a series of weekly keynotes and interactive workshops. Leaders in medical image analysis and deep learning from industry and academia will present their cutting-edge work to inspire and motivate students for the complimentary workshops.

Our interactive workshops will be instructed by our team and invited instructors with research experience in deep learning and medical image analysis. Each workshop will consist of:

1) a classroom-style introduction to a new image analysis method and imaging modality
2) an interactive demonstration of the newly learned skills
The workshops will be free. Due to COVID restrictions and for accessibility purposes, the workshops will be held entirely online, recorded, and made publicly available. Anyone from anywhere can join  All demonstrations will be performed in Google Colab, which will allow anyone with internet access to perform complex computations on their machines regardless of hardware specifications.

The Hackathon (August 6th-8th)

To put the skills that participants learned during the workshops to the test, we will be hosting a hackathon in the first week of August. Participants will be asked to solve problems in medical image analysis using deep learning. The event will be held online and in-person optionally, if COVID restrictions allow.  During the event, participants will receive mentorship from researchers and experienced students.

McMedHacks

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Teams

Offices

McMedHacks

Org chart

Teams

Offices

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