- Email: firstname.lastname@example.org
- Thesis title: Exploring Deep Learning Approaches for Computer-Aided Diagnosis of Breast Cancer with Tomosynthesis
- Supervisors: Professor Andy Bulpitt, Professor David Hogg
Prior to starting my PhD, I completed a BSc in Computer Science at Lancaster University, graduating in 2013. Following on from graduation, I worked as a software engineer for a number of years, prior to returning to academia to pursue a PhD in artificial intelligence in November 2018.
My research interests are focused around medical imaging applications of artificial intelligence. In particular, I’m interested in how generative modelling can be applied to the area.
At the moment I am working on using deep learning to produce high resolution, full-field digital mammograms purely from digital breast tomosynthesis volumes.
My personal website will be updated shortly to contain updates on my PhD project, including samples of preliminary results
- BSc Computer Science, Lancaster University
Research groups and institutes
- Artificial Intelligence