01 · Research · 2025 to 2026
MIQA: geometric distortion in prostate DWI
Automated detection of geometric distortion in prostate diffusion-weighted MRI, and an investigation into why the most accurate model was the worst at recognising its own mistakes.
ResultA three-seed DenseNet-121 ensemble reached mean AUROC 0.819 (SD 0.049 across five patient-level folds); a heterogeneous nine-model ensemble kept 83.6% accuracy on the 70% of cases it retained in a retrospective triage simulation.
Read the case study: MIQA: geometric distortion in prostate DWI
- Research evidence
- Role
- MSc thesis researcher
- Status
- Retrospectively validated proof of concept
- Stack
- PyTorch · DenseNet-121 · ResNet-18/50 · EfficientNet-B0 · Deep ensembles
- Inspect
- Code on GitHub, MIT licence (external link)



