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
Professional membership
Member of the Royal Statistical Society
Member of the International Parkinson and Movement Disorder 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 deep learning to detect cauda equina syndrome in MRI scans
- Using natural language processing to classify pathology in scan descriptions
- Using deep learning to detect aneurysm clips in CT head scans
Grants & contracts
- EPSRC funded PhD studentship
- Movement Disorder Society Travel Grant
Publications
Publications
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
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, Movement Disorders Society Congress 2022
Courtman M, Abdelhalim G, Mullin S, Ifeachor E, Thurston M, "Pre-processing image data using a natural language processing model" poster, British Institute of Radiology Annual Congress 2022