Assistant Professor of Computer Science
Ph.D., Computer Science, The University of North Carolina at Chapel Hill 2008
B.A., Computer Science and Mathematics, Carleton College 2001
Dr. Joshua Stough looks to create and improve image analysis tools for use in medical imaging applications, computer vision, and the natural sciences. While his research focuses on the automatic segmentation of anatomical structures in medical images (such as the prostate in CT, or subcortical structures in brain MRI), this work is highly interdisciplinary and has applications to a broad range of fields, including biology and physics.
Dr. Stough teaches courses on image processing, graphics, computer vision, and artificial intelligence/machine learning.
Stough, J.V., Ye, C., Ying, S., Prince, J.: Thalamic parcellation from multi-modal data using random forest learning. In: International Symposium on Biomedical Imaging (ISBI) 2013, http://ieeexplore.ieee.org/.
Stough, J.V., Greer, L., Benson, M.: Texture and color distribution-based classification for live coral detection. In: International Coral Reef Symposium (ICRS) 2012, http://www.icrs2012.com.
Stough, J.V., Broadhurst, R.E., Pizer, S.M., and Chaney, E.L.: Regional appearance in deformable model segmentation. In: Information Processing in Medical Imaging (IPMI) 2007, Springer LNCS 4584, 532-543.
Stough, J.V., Broadhurst, R.E., Pizer, S.M., and Chaney, E.L.: Clustering on local appearance for deformable model segmentation.In: International Symposium on Biomedical Imaging (ISBI) 2007, http://ieeexplore.ieee.org/.