Megan Courtman
Profiles

Megan Courtman

School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)

Biography

Biography

Computer science PhD student applying machine learning to medical imaging.

Qualifications

MSc Data Science & Business Analytics - University of Plymouth (2020)
BA (Hons) History - University of York (2014)

Professional membership

Member of the Royal Statistical Society

Member of the British Neuroscience Association

Roles on external bodies

Parkinson's UK Involvement Steering Group

Research

Research

Research interests

I am interested in applying machine learning in medicine. My PhD focuses on using deep learning to detect Parkinson's disease in routine brain imaging.

Other research

Other projects I am involved in include:

  • Using machine learning to detect cauda equina syndrome in MRI scans
  • Using natural language processing to detect major pathology in scan descriptions
  • Using machine learning to detect aneurysm clips in CT head scans
Publications

Publications

Presentations and posters

Courtman M, Thurston M, McGavin L, Caroll C, Sun L, Ifeachor E, Mullin S, "AI based detection of Parkinson’s disease in MRI brain scans" poster, Association of British Neurologists Annual Meeting 2022 - winner of Charles Symonds prize for top poster

Courtman M, Mullin, S, "AI in Neurology: Capabilities, Possibilities, Limitations and Myths" presentation, South West Neurology Association Annual Meeting 2022