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Mike MacNeil

Mike MacNeil
Postdoctoral Scholar
Computational Research Division

Mike MacNeil is a Postdoctoral Scholar working on Machine Learning and Computer Vision applied to scientific image analysis. His projects focus on segmentation, object detection as well as multi-target tracking. Previously, he held a joint academic/industrial postdoc position at the University of Toronto Dept. of Medical Imaging and Synaptive Medical. His PhD is in Applied Mathematics from the University of Edinburgh.

Selected publications:

  • MacNeil, Ushizima, Panerai, Mansour, Barnard, Parkinson, "Interactive Volumetric Segmentation for Textile Microtomography Data using Wavelets and Non-local means", Journal of Statistical Analysis and Mining, Sep 2019.

  • Assanto, MacNeil, Smyth, "Diffraction-induced instability of coupled dark solitary waves" Optics Letters, 2015