Emma C. Robinson
Orcid: 0000-0002-7886-3426Affiliations:
- King's College London, School of Biomedical Engineering and Imaging Sciences, UK
According to our database1,
Emma C. Robinson
authored at least 52 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
2023
ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
IEEE Trans. Medical Imaging, April, 2023
IEEE Trans. Medical Imaging, February, 2023
CoRR, 2023
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach.
CoRR, 2023
Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces.
CoRR, 2022
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
2021
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021
A survey on active learning and human-in-the-loop deep learning for medical image analysis.
Medical Image Anal., 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
CoRR, 2021
Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Non-negative data-driven mapping of structural connections with application to the neonatal brain.
NeuroImage, 2020
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.
NeuroImage, 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
2019
Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
NeuroImage, 2018
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018
Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project.
NeuroImage, 2018
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage, 2018
2017
Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
2014
NeuroImage, 2014
2013
Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation.
Proceedings of the Information Processing in Medical Imaging, 2013
2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Hierarchy in structural brain networks.
Proceedings of the Medical Image Understanding and Analysis, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Inference of functional connectivity from direct and indirect structural brain connections.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Identifying population differences in whole-brain structural networks: A machine learning approach.
NeuroImage, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2008
Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008