Senior Lecturer in Medical Imaging
Motion Correction, Image Registration and Segmentation, Spatio-temporal Atlases, Machine Learning.
Research Associate
Developing tools for brain conductivity measurements and 3D+T fetal cardiac MRI.
Fetal and neonatal MRI analysis, Deep Learning Image Registration and Segmentation
Research Assistant
Deep learning for diagnosis of congenital heart disease in fetus using MRI and ultrasound.
PhD Student
Using Deep learning to study Early Neurodevelopment with Multimodal MR Imaging data of the Fetal Brain.
Developing techniques for terminating Atrial Fibrillation and other Cardiac Arrhythmias through Radiofrequency Catheter Ablation and AI.
PhD student
Surgical intervention planning in fetal congenital heart disease.
Exploring early fetal brain development using diffusion MRI.
Characterising abnormal early brain development using diffusion MRI and machine learning.
Developing methods for predicting phenotypes for ASD from neonatal brain connectivity.
Developing deep learning tools for mining for iron in the brain.
Quantitative mapping of developing fetal organs using dynamic MRI and artificial neural networks.
Developing machine learning tools to uncover the early origins of neurodevelopmental disorders.
BABY-MedIA@KCL
