Slides sit on Rivanna and partly in Box.

First tool to look at is ITK-SNAP, which can be downloaded from
http://www.itksnap.org/pmwiki/pmwiki.php?n=Downloads.SNAP3 , which led me to
https://sourceforge.net/projects/itk-snap/files/itk-snap/3.8.0/itksnap-3.8.0-20190612-Linux-x86_64.tar.gz/download .

Demo data is brain images.

First dataset being visualized was brain MRI, and specifically the hippocampus.

Next, we went into thoracic MRI and segmented out the spleen.

In both cases, we were using ITK-SNAP.

Now on to remote sensing data.

Python Imaging Library can read dozens of different file formats.
It is included in the PIL module.

Good number of Python examples for image processing using this PIL module.
See remote_image.ipynb in the workshop's directory.

Next thing we are looking at is Paraview, which is open source and based on the Visualization Toolkit.

It's great for many things but not too well suited for CSV files.