Jesse Phitidis
Thesis title: AI-powered neuroradiological support system for cerebrovascular diseases from magnetic resonance imaging
Year of study: 2
- Centre for Clinical Brain Sciences
- Canon Medical Research Europe
Contact details
- Email: J.Phitidis@ed.ac.uk
Background
A PhD student in the Centre for Clinical Brain Sciences and Canon Medical Research Europe, funded by Medical Research Scotland (MRS). Research involves applying/developing deep learning methods to identify and segment imaging markers of cerebrovascular diseases from brain MRI.
Qualifications
- BEng (Mechanical Engineering)
- MSc (AI and Machine Learning)
Postgraduate teaching
- Practical Image Analysis 1 (online)
- Practical Image Analysis 2 (online)
Research summary
- Machine learning
- Computer vision
- Biomedical applications
Conference details
- Medical Image Understanding and Analysis (MIUA) 2023 - Oral presentation