
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). Her 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:
- Path Reducing Watershed for the GPU V Yeghiazaryan, I Voiculescu
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 577-585 2018 - 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 - Boundary overlap for medical image segmentation evaluation
V Yeghiazaryan, I Voiculescu
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and … 2 2017 - Automated 3D renal segmentation based on image partitioning
V Yeghiazaryan, ID Voiculescu
Medical Imaging 2016: Image Processing 9784, 97842E 5 2016 - 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 - 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 - 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 - Feature Identification on CT Images Using the Fast Marching Method
V Yeghiazaryan
University of Oxford
Office location: 331W, PAB