New paper: unsupervised learning for medical images analysis
We recently published a new paper on Journal of Supercomputing. The article focuses on an approach that combines automatic feature extraction and unsupervised learning for the analysis of medical images. The idea is to extract (long) vectors of Haralick features for each pixel, and use that information to train a Self-Organizing Map: similar pixels will …
PhD position on explainable AI systems for biomedical decision support
Some weeks ago I have been awarded with an EAISI Startup Package, a grant provided by the Eindhoven Artificial Intelligence Systems Institute funding a PhD student position. The project that was funded — and that will be the topic of the PhD student — revolves around the data-driven development of decision support systems in biomedical …
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