Ms. Behnaz Elhaminia
- Email: B.Elhaminia1@leeds.ac.uk
- Thesis title: Machine learning for outcome prediction after pelvic radiotherapy
Behnaz Elhaminia received her B.S. degree in computer engineering, in 2014, and the M.S. degree in 2018, both from Ferdowsi University of Mashhad (FUM), Mashhad, Iran. She was a research student of MVLab (Machine Vision Laboratory) in FUM during her studies. She joined the CISTIB research group at the University of Leeds as a PhD student in September 2019 supervised by Prof. Alejandro Frangi and Dr Ali Gooya. She has been awarded a Faculty of Engineering Doctoral Academy Scholarship for her research.
Behnaz’s research interest includes machine and deep learning, probabilistic graphical models, neural networks, and medical image processing.