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See below a list of the most recent projects the MRes students are working on. If you have a project proposal in mind, get in touch!
Automated Segmentation of Epileptogenic Focal Cortical Dysplasia with Multi-Centre MRI and Deep Learning |
| Obstructive sleep apnoea and machine learning: combining features from polysomnography, and clinical factors from EHRs, to provide diagnosis and classification of disease severity in adults |
Semantic SLAM for surgical robots |
| Vessel segmentation in pulmonary fibrosis using semi-supervised learning methods for sparsely annotated medical imaging |
| Applying machine learning to detect prognostic optical coherence tomography and fundus image biomarkers for retinal disease |
AI-enabled wearable, high resolution neuroimaging technologies for effective recovery of rehabilitations |