The Global Goals
In 2015, UN member states agreed to 17 global to end poverty, protect the planet and ensure prosperity for all. Megan's work contributes towards the following SDG(s):
About Megan
Postdoctoral research fellow applying machine learning to medical imaging.
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: Can artificial intelligence highlight those at greater risk of stroke?Ìý
- 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:
- funding for early stage development of new healthcare interventions
- funded PhD studentship
Other academic activities:
- Winner of a 2024 poster prize
- Winner of the 2023 ¶¶Òõ¶ÌÊÓƵ Three Minute Thesis competition
- Winner of the 2022 award for top poster
- Presenter at Health Data Science workshopsÌý
- Presenter at
- Presenter at Big Data group workshops
Contact Megan