Dr Emma Robinson Academics Supervisors Head of Research Department of Biomedical Computing Reader in Biomedical Computing. Research subject areas Imaging sciences Contact details emma.robinson@kcl.ac.uk @emrobSci
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks A MELD Study NEUBORN: The Neurodevelopmental Evolution framework Using BiOmechanical RemodelliNg SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The developing Human Connectome Project fetal functional MRI release: Methods and data structures A bimodal taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients Applications of interpretable deep learning in neuroimaging: A comprehensive review Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth Spatio-Temporal Encoding of Brain Dynamics with Surface Masked Autoencoders The Multiscale Surface Vision Transformer Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients Acceptance and Commitment Therapy for people living with motor neuron disease: an uncontrolled feasibility study BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs Effects of sleep disturbance on dyspnoea and impaired lung function following hospital admission due to COVID-19 in the UK: a prospective multicentre cohort study Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach Structural and functional asymmetry of the neonatal cerebral cortex Telomere length and brain imaging phenotypes in UK Biobank A Deep-Discrete Learning Framework for Spherical Surface Registration A Deep Generative Model of Neonatal Cortical Surface Development ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Neonatal multi-modal cortical profiles predict 18-month developmental outcomes Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis The Developing Human Connectome Project Neonatal Data Release A survey on active learning and human-in-the-loop deep learning for medical image analysis Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity Phenotyping the Preterm Brain: Characterizing Individual Deviations from Normative Volumetric Development in Two Large Infant Cohorts PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction Predicting preterm birth using multimodal fetal imaging Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain Cross-species cortical alignment identifies different types of anatomical reorganization in the primate temporal lobe Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping Modelling brain development to detect white matter injury in term and preterm born neonates Non-negative data-driven mapping of structural connections with application to the neonatal brain Surface Agnostic Metrics for Cortical Volume Segmentation and Regression The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants Confident head circumference measurement from ultrasound with real-time feedback for sonographers Preface PIPPI 2019 Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project Dynamic patterns of cortical expansion during folding of the preterm human brain Extending the human connectome project across ages: Imaging protocols for the Lifespan development and aging projects Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex View all publications
6 November 2023 In conversation with Dr Emma Robinson Following on from her recent achievement in receiving the Research Guidance and Mentorship award, Dr…