Varduhi Yeghiazaryan, PhD

Assistant Professor

Varduhi Yeghiazaryan joined AUA in 2018. She holds a B.Sc. in Applied Mathematics and Informatics from the Russian-Armenian (Slavonic) University (2012), an M. Sc. in Computer Science from the University of Oxford (2013) and a Ph.D. in Computer Science from the University of Oxford in 3D medical image segmentation (2018). Dr. Yeghiazaryan's research interests include medical imaging,  3D image analysis, and general-purpose computing on graphics processing units. She teaches courses in Artificial Intelligence, Data Structures, and, Algorithms.

Higher Education

2018, PhD Computer Science

University of Oxford

2013, M.Sc. Computer Science

University of Oxford

2012, B.Sc. Applied Mathematics and Informatics

Russian-Armenian (Slavonic) University

Courses taught:

  • Artificial Intelligence
  • Data Structures
  • Introduction to Object-Oriented Programming

Publications:

  1. Path Reducing Watershed for the GPU V Yeghiazaryan, I Voiculescu 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 577-585 2018
  2. Family of boundary overlap metrics for the evaluation of medical image segmentation V Yeghiazaryan, I Voiculescu Journal of Medical Imaging 5 (1), 015006 1 2018
  3. Boundary overlap for medical image segmentation evaluation V Yeghiazaryan, I Voiculescu Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and … 2 2017
  4. Automated 3D renal segmentation based on image partitioning V Yeghiazaryan, ID Voiculescu Medical Imaging 2016: Image Processing 9784, 97842E 5 2016
  5. An overview of current evaluation methods used in medical image segmentation V Yeghiazaryan, I Voiculescu Dept. Comput. Sci., Univ. Oxford, Oxford, UK, Tech. Rep. CS-RR-15-08 20 2015
  6. The use of fast marching methods in medical image segmentation V Yeghiazaryan, I Voiculescu Tech. Rep. CS-RR-15-07, Department of Computer Science, University of Oxford … 3 2015
  7. Experiments on the Use of Fast Marching for Feature Identification V Yeghiazaryan, I Voiculescu Proceedings of the Oxford University Department of Computer Science Student … 2014
  8. Feature Identification on CT Images Using the Fast Marching Method V Yeghiazaryan University of Oxford

Office location: 331W/PAB