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I am Reader in Machine Learning for Imaging co-leading the Biomedical Image Analysis Group. I am also Adviser – Medical Image Analysis at HeartFlow and I am leading the London-based HeartFlow-Imperial Research Team. I work as adviser for Kheiron Medical Technologies.

My research is at the intersection of medical image analysis and artificial intelligence aiming to build computational tools for improving image-based detection and diagnosis of disease.

Latest News

• Three papers accepted at MICCAI 2019:
  • Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
  • Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
  • Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation
• Graph Convolutional Gaussian Processes has been accepted at ICML 2019
• TeTrIS: Template Transformer Networks for Image Segmentation with Shape Priors has been accepted in TMI
• Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing has been accepted as oral at IPMI 2019
• Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiovascular Magnetic Resonance Imaging Study has been accepted in JCMR

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