15 places available
Dragonfly
Morning Session
Coming soon!
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.
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.
Morning Session
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
--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
--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