University of Iowa 3 credits ECE
Broad exposure to common tools of medical imaging analysis in commercial, clinical, and research settings, including algorithm development (using C+++ and ITK), rapid prototyping (SimpleITK, nipype, ipython notebook), statistical analysis (R), machine learning (scikit-learn, keras/tensorflow) and reproducible science tools (python, git, bash); special emphasis on big data challenges associated with volume, velocity, and veracity; real-world settings for problems include image-guided robotic surgery, dose treatment planning, and image analysis. Prerequisites: ECE:5480 and (ECE:3330 or CS:2820).
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