Machine Learning for health
Processing an image of the retina using a filter selective of blood vessels.
Machine Learning methods for among others computer vision and signal analysis have great potential for improving health care. I have been working on projects related to disease diagnosis of the eye and heart arrhythmia identification. I am currently working on projects concerning sleep disorders.
Michiel Straat
Postdoc in Machine Learning
My research interests include Machine Learning, Computational Intelligence and Statistical Physics of Learning.
Publications
Learning Vector Quantization and relevances in complex coefficient space
In this contribution, we consider the classification of time series and similar functional data which can be represented in complex …
Segmentation of blood vessels in retinal fundus images
In recent years, several automatic segmentation methods have been proposed for blood vessels in retinal fundus images, ranging from …
