Our scientific interests are related to the topics of image segmentation, registration and machine learning, with applications to biomedicine, computer vision and human assistive technologies.
Software
-
TIDAQ (Tissue IDentification and Quantification) http://smakrogi.github.io/TIDAQ/
Software tool for segmentation and quantification of lower leg pQCT and mid-thigh CT scans.
YouTube link for TIDAQ Instructions:
https://www.youtube.com/channel/UCgFYk8fnZkBkWbUHykMwupg
Links to collaborating research groups
Optical Science Center for Applied Research - DESU
IRP-National Institute of Aging
General Electric Global Research