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Docker container for Landmark-free Morphometry code from A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome paper

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Landmark-free Morphometry Docker

This is a docker container for Landmark-free Morphometry code from A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome paper.

Included in the container:

  • Ubuntu 18.04
  • Miniconda
  • FSL 5.0.11
  • SimpleITK
  • vtk
  • jupyterlab
  • all packages in this yaml

Getting started

Install Docker. Pull and run the pre-built image. This will launch a jupyter lab instance.

docker run -p 8888:8888 asyafiqe/landmark-free-morphometry

Verify the deployment by navigating to your server address in your preferred browser.

127.0.0.1:8888

to attach a folder in the container, run:

docker run -v /path/to/my-data:/app/landmark-free-morphometry -p 8888:8888 asyafiqe/landmark-free-morphometry

or build yourself

git clone
cd
docker build -t <youruser>/landmark-free-morphometry .

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Docker container for Landmark-free Morphometry code from A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome paper

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