Projects per year
Overview
Profile summary
Postdoctoral research fellow applying machine learning to medical imaging.
Research interests:
I am interested in using AI to solve problems 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 machine learning to predict future strokes: Can artificial intelligence highlight those at greater risk of stroke?
- Using machine learning to predict outcomes after traumatic brain injury
- Using machine learning to detect Parkinson's disease in MRI brain scans
- Using natural language processing to classify pathology in radiology reports
- Using machine learning to detect aneurysm clips in CT head scans
Grants/contracts:
- MRC funding for early stage development of new healthcare interventions - the ABSTRACT study
- NIHR funding for Invention for Innovation - the BIRDI study
- EPSRC funded PhD studentship
Other academic activities:
- Winner of a 2024 Health and Care Research Conference poster prize
- Winner of the 2023 University of Plymouth Three Minute Thesis competition
- Winner of the 2022 Association of British Neurologists award for top poster
- Presenter at Health Data Science workshops
- Presenter at Peninsula Radiology Academy Research workshops
- Presenter at Big Data group workshops
- Member of SUSTAIN South West
Roles on external bodies:
- Member of the Parkinson's UK Involvement Steering Group
Professional memberships:
Professional memberships
Roles on external bodies
Member of the Parkinson's UK Involvement Steering Group
Additional information
- Member of SUSTAIN South West
- Member of Big Data group
- Member of Applied Parkinson’s Research Group
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Academic qualifications
11 Computing, Doctorate, PhD Health Data Science, University of Plymouth
1 Oct 2020 → 26 Sept 2024
Award Date: 26 Sept 2024
11 Computing, Other higher degree (e.g. Masters degree), MSc Data Science & Business Analytics, University of Plymouth
2019 → 2020
Award Date: 17 Nov 2020
20 Historical, philosophical and religious studies, First Degree, BA History, University of York
2011 → 2014
Award Date: 16 Jul 2014
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Using Explainable Artificial Intelligence to predict future stroke using routine historical investigations
Courtman, M. (RF - Research Fellow)
1/02/24 → 1/02/26
Project: Research
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Evaluation of novel markers of on-set of PD using machine learning and routine CT brain imaging
Courtman, M. (CoI - Co-Investigator)
1/10/20 → 26/09/24
Project: Research
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Brain Injury outcomes using Routine Data and Imaging analysis
Courtman, M. (RF - Research Fellow)
1/04/25 → 31/03/26
Project: Research
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Deep Learning Detection of Aneurysm Clips for Magnetic Resonance Imaging Safety
Courtman, M., Kim, D., Wit, H., Wang, H., Sun, L., Ifeachor, E., Mullin, S. & Thurston, M., 12 Jan 2024, In: Journal of Digital Imaging. 37, 1, p. 72-80 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile27 Downloads (Pure) -
Explainable deep learning based detection of Parkinson’s changes in MRI brain scans
Courtman, M., Thurston, M., McGavin, L., Carroll, C., Sun, L., Ifeachor, E. & Mullin, S., 30 Aug 2023.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
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Artificial Intelligence based detection of Parkinson’s disease in Magnetic Resonance Imaging brain scans
Courtman, M., Thurston, M., McGavin, L., Carroll, C., Sun, L., Ifeachor, E. & Mullin, S., 29 Mar 2023.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
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Pre-processing image data using a natural language processing model
Courtman, M., Abdelhalim, G., Mullin, S., Ifeachor, E. & Thurston, M., Sept 2022.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
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095 Artificial Intelligence based detection of Parkinson’s disease in magnetic resonance imaging brain scans
Courtman, M., Thurston, M., McGavin, L., Caroll, C., Sun, L., Ifeachor, E. & Mullin, S., May 2022.Research output: Contribution to conference › Conference paper (not formally published) › peer-review
Activities
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British Institute of Radiology (External organisation)
Courtman, M. (Member)
2024 → …Activity: Membership › Member of professional body or learned society
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British Neuroscience Association (External organisation)
Courtman, M. (Member)
2022 → 2024Activity: Membership › Member of professional body or learned society
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International Parkinson and Movement Disorder Society (External organisation)
Courtman, M. (Member)
2022 → …Activity: Membership › Member of professional body or learned society
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Parkinson's UK (External organisation)
Courtman, M. (Member)
29 Oct 2021 → …Activity: Membership › Member of advisory board, committee or working group
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European Stroke Organisation (External organisation)
Courtman, M. (Member)
2024 → …Activity: Membership › Member of professional body or learned society
Prizes
Theses
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Explainable Deep Learning for Medical Imaging Classification
Courtman, M. (Author), Ifeachor, E. (Director of Studies (First Supervisor)), Sun, L. (Other Supervisor), Thurston, M. (Other Supervisor) & Mullin, S. (Other Supervisor), 2024Student thesis: PhD
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