- Email: S.Kalaie1@leeds.ac.uk
- Thesis title: Deep learning for minimizing uncertainty in medical image segmentation.
Soodeh Kalaie received her B. Sc. in Electrical Engineering. Subsequently, she started her M. Sc. at Tarbiat Modares University, Tehran, Iran where she joined a research group with the focus on machine learning and medical imaging. Then, the decomposition of vascular tree using graphical models became her specific research subjects. Soodeh worked as R&D engineer in NegarAndishgan Co.Ltd, Tehran, Iran for almost four years where she carried out research on EEG signal processing and EEG brain mapping study. To peruse her academic journey, in September 2019 she joined CISTIB in University of Leeds as a full fund PhD student co-supervised by Prof. Alejandro Frangi and Dr Ali Gooya.
My research interest includes neural network and deep learning, pattern recognition and machine learning, probabilistic graphical models.
- BSc in Electronic Engineering (Semnan University, Iran)
- MSc in Biomedical Engineering (Tarbiat Modares University, Iran)
Research groups and institutes
- Computational Medicine