Welcome
My research lies at the intersection of medical image computing, artificial intelligence, and computational modelling, with a particular emphasis on magnetic resonance imaging (MRI). I develop advanced deep learning architectures that combine multi-stage processing pipelines, ensemble learning strategies, and the integration of domain expertise to enhance the precision and reliability of automated image segmentation.
Beyond static image analysis, I am exploring temporal modelling frameworks that capture longitudinal patient dynamics, enabling more accurate and personalised predictions of clinical outcomes. A further strand of my work concerns the design of computationally efficient machine learning systems, ensuring that methodological advances can be translated into scalable, trustworthy, and clinically deployable technologies.
- See Publications and Projects.
- About / Research for a short bio.