Bio

"We teach and develop techniques that allow us to make better sense of signals, images, and digital data in general."

Gustavo Kunde Rohde, Associate Professor

Gustavo K. Rohde earned B.S. degrees in physics and mathematics in 1999, and the M.S. degree in Electrical Engineering in 2001 from Vanderbilt University. He received a doctorate in applied mathematics and scientific computation in 2005 from the University of Maryland. He is currently an associate professor of Biomedical Engineering, and Electrical and Computer Engineering at the University of Virginia.

Research Interests

  • Medical and Molecular Imaging
  • Signal and Image Processing
  • Biomedical Data Sciences
  • Computer Graphics and Vision
  • Biomedical Data Sciences
  • Machine Learning

Selected Publications

  • Optimal mass transport. Signal Processing and Machine Learning Applications, IEEE Signal Processing Magazine, 35(5), 43-59, 2017. S Kolouri, SR Park, M Thorpe D Slepcev, GK Rohde
  • The cumulative distribution transform and linear pattern classification, Applied and Computational Harmonic Analysis, in press, 2017. SR Park, S Kolouri, S Kundu, GK Rohde
  • Analysis of live cell images: Methods, tools and opportunities, Methods 115, 65-79, 2017. TA Nketia, H Sailem, GK Rohde, R Machiaraju, J Rittscher
  • Transport-based single frame super resolution of very low resolution face images. IEEE CVPR 2015, pp 4876-4884. S Kolouri, GK Rohde
  • Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. Medical Image Analysis. 18(5), 772-780, 2014 JA Ozolek, AB Tosun, W Wang, C Chen, S Kolouri, S Basu, H Huang, GK Rohde
  • Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry. PNAS 111 (9), 3448-3453, 2014 S. Basu, S. Kolouri, GK Rohde