Our inspiration

Yujing and Luca both work on multi-modal image analysis using deep learning for various purposes from tumor auto-segmentation to outcome prediction using multiple diagnostic imaging modalities. They noticed that a few of their colleagues that were new to the field experienced some common challenges that they had experienced themselves: like how to work with DICOM files, getting started with practical deep learning programming in Python with little to no theory knowledge background and so on.  This prompted them to establish a workshop series to help kickstart peoples’ research projects involving medical imaging analysis and deep learning. We quickly discovered that there was interest that far exceeded our lab group within the McGill community.

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