Workshops

Workshops will take place on Monday, May 22. The morning session will be from 9-12, and the afternoon session from 1-4. Delegates will be invited to register for workshops via the online registration form, with places allocated on a first come first served basis.

The workshop day is split into two so you can attend one morning workshop and one afternoon workshop. Workshop offerings TBD. Participants will be required to bring their own laptop with minimum requirements as specified by the workshop provider.
15 places available

Dragonfly

Morning Session
Coming soon!
15 places available

Introduction to Digital Morphology with SlicerMorph

Morning Session
Digital Morphology with SlicerMorph: Importing image stacks, visualization, segmentation, animations, exporting models and data sharing. Demo of available ML tools in Slicer for segmentation. Laptop requirements: any recent laptop with dedicated GPU and at least 16GB of RAM.
15 places available

Dragonfly

Afternoon Session
Coming soon!
15 places available

Morphometrics data collection and exploration with SlicerMorph

Afternoon Session
Morphometrics data collection and exploration with SlicerMorph, exporting data to R for inferential statistics. Laptop requirements: any recent laptop with dedicated GPU and at least 16GB of RAM.
15 places available

Reactiv'IP : CT Data Analysis Hands-on using IPSDK Explorer (Machine Learning and automatic Python Script generation)

Morning Session
During this workshop, you will use IPSDK Explorer and discover:

--how to generate automatically 2D/3D/4D Image Processing Python scripts without needing Python knowledge or needing to type code lines
--how to process your datasets either using traditional Image Processing features or based on Machine Learning for:
Pixel or SuperPixel segmentation
Object classification
15 places available

Reactiv'IP : CT Data Analysis Hands-on using IPSDK Explorer (Machine Learning and automatic Python Script generation)

Afternoon Session
During this workshop, you will use IPSDK Explorer and discover:

--how to generate automatically 2D/3D/4D Image Processing Python scripts without needing Python knowledge or needing to type code lines
--how to process your datasets either using traditional Image Processing features or based on Machine Learning for:
Pixel or SuperPixel segmentation
Object classification

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