Megan Courtman
Profiles

Megan Courtman

Research Fellow

Peninsula Medical School (Faculty of Health)

Biography

Biography

Postdoctoral research fellow applying machine learning to medical imaging.

Qualifications

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

Professional membership

International Parkinson and Movement Disorder Society member
British Neuroscience Association member
European Stroke Organisation member

Roles on external bodies

Member of the Parkinson's UK Involvement Steering Group
Research

Research

Research interests

I am interested in applying machine learning in healthcare. My PhD focused on applying explainable deep learning to a number of medical imaging tasks.
Projects I have been involved in include:
  • Using AI to predict future strokes
  • Using explainable deep learning to detect Parkinson's disease in MRI brain scans
  • Using explainable deep learning to detect MSA/CBS/PSP in MRI brain scans
  • Using explainable natural language processing to classify pathology in scan descriptions
  • Using explainable deep learning to detect aneurysm clips in CT head scans

Grants & contracts

  • MRC funding for early stage development of new healthcare interventions
  • EPSRC funded PhD studentship
Publications

Publications

Key publications

Key publications are highlighted

Journals
Articles
Courtman M, Kim D, Wit H, Wang H, Sun L, Ifeachor E, Mullin S & Thurston M (2024) 'Deep Learning Detection of Aneurysm Clips for Magnetic Resonance Imaging Safety' Journal of Digital Imaging , DOI Open access
Presentations and posters
Courtman M, Thurston M, McGavin L, Caroll C, Sun L, Ifeachor E & Mullin S Courtman M, Thurston M, McGavin L, Caroll C, Sun L, Ifeachor E & Mullin S '095 Artificial Intelligence based detection of Parkinson’s disease in magnetic resonance imaging brain scans' Author Site , DOI
Courtman M & Mullin S Courtman M & Mullin S 'AI in Neurology: Capabilities, Possibilities, Limitations and Myths'
Courtman M, Mullin S, Ifeachor E, Sun L, Carroll C, McGavin L & Thurston M Courtman M, Mullin S, Ifeachor E, Sun L, Carroll C, McGavin L & Thurston M 'Artificial Intelligence based detection of Parkinson’s disease in magnetic resonance imaging brain scans' Author Site
Courtman M, Thurston M, McGavin L, Carroll C, Sun L, Ifeachor E & Mullin S Courtman M, Thurston M, McGavin L, Carroll C, Sun L, Ifeachor E & Mullin S 'Artificial Intelligence based detection of Parkinson’s disease in Magnetic Resonance Imaging brain scans'
Courtman M, Abdelhalim G, Mullin S, Ifeachor E & Thurston M Courtman M, Abdelhalim G, Mullin S, Ifeachor E & Thurston M 'Pre-processing image data using a natural language processing model'
Courtman M, Thurston M, McGavin L, Carroll C, Sun L, Ifeachor E & Mullin S Courtman M, Thurston M, McGavin L, Carroll C, Sun L, Ifeachor E & Mullin S 'Explainable deep learning based detection of Parkinson’s changes in MRI brain scans' Author Site
Personal

Personal

Other academic activities

Winner of the 2023 University of Plymouth Three Minute Thesis competition 
Winner of the 2022 Association of British Neurologists award for top poster

Additional information

Member of SUSTAIN South West 
Member of Big Data group