Online course on statistical shape modelling

[Marcel Luethi]

Dear statismo users,

You might have noticed that during the last few month there was relatively little activity around statismo. One of the reason was that we, at the University of Basel, were extremely busy preparing an open online course on shape modelling.

We are happy to announce that the course is now produced and will start the 22nd February. You can see the trailer and register for the course on FutureLearn: https://www.futurelearn.com/courses/statistical-shape-modelling.

The course offers theoretical insights into the problem of modelling shape variations using the concept of Gaussian Processes for representing shape variability. This approach provides a unifying framework for statistical shape modelling and classical free form deformation techniques (e.g. splines).  While in the course we will use the scalismo software to illustrate the theoretical concepts, the same concepts are also readily available in statismo, and form the basis of the modelling and registration functionality of statismo.

You will find the course announcement as an attachment. We would appreciate if you could distribute this announcement to your colleagues or anybody else you think could be interested in this course.

I hope to see you soon on FutureLearn.


Marcel

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Marcel Lüthi, PhD
Department of Mathematics and Computer Science
University of Basel
+41 61 267 0442

[Ibrahim A]

I am enjoying the course now, It is done in a professional way, congratulation :). I have some suggestions (I will add more when I finish the course): 

• Making the course available as an online resource e.g. companion with a forum (www.discourse.org would be a good option). This makes it easier to learn and participate anytime. The knowledge base will be more organized.     
  
• Making  Statismo as a Lab tool (long track), I understand it is difficult to manage but this can be possible if you provide a pre-prepared virtual machine or using standard application like Slicer 3D (see the note [1]). 
• Adding segmentation lecture e.g. like ASM/AAM. It is an important application hat many students/researchers need to practice. 
• Adding errata-like google doc where students add errors where they found them. (broken links, typo, ..etc  ) 

Have a nice day have a nice day and a nice weekend! 

Ibraheem 

[1] Note about Slicer:

Slicer is a standard tool that uses ITK and VTK in addition to many other libraries. It would be nice if Statismo is integrated with Slicer which makes it easier to use. Also, one can write simple python scripts similar to scalismo and integrate them as Slicer plugins.