Ana IL Namburete
Cited by
Cited by
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
NK Dinsdale, M Jenkinson, AIL Namburete
NeuroImage 228, 117689, 2021
Learning patterns of the ageing brain in MRI using deep convolutional networks
NK Dinsdale, E Bluemke, SM Smith, Z Arya, D Vidaurre, M Jenkinson, ...
NeuroImage 224, 117401, 2021
Learning-based prediction of gestational age from ultrasound images of the fetal brain
AIL Namburete, RV Stebbing, B Kemp, M Yaqub, AT Papageorghiou, ...
Medical image analysis 21 (1), 72-86, 2015
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
AIL Namburete, W Xie, M Yaqub, A Zisserman, JA Noble
Medical image analysis 46, 1-14, 2018
The effect of external compression on the mechanics of muscle contraction
JM Wakeling, M Jackman, AI Namburete
Journal of applied biomechanics 29 (3), 360-364, 2013
Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images
AIL Namburete, M Rana, JM Wakeling
Journal of biomechanics 44 (14), 2538-2543, 2011
Omni-supervised learning: scaling up to large unlabelled medical datasets
R Huang, JA Noble, AIL Namburete
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
Self-supervised ultrasound to MRI fetal brain image synthesis
J Jiao, AIL Namburete, AT Papageorghiou, JA Noble
IEEE Transactions on Medical Imaging 39 (12), 4413-4424, 2020
Fetal cranial segmentation in 2D ultrasound images using shape properties of pixel clusters
AIL Namburete, JA Noble
2013 IEEE 10th International Symposium on Biomedical Imaging, 720-723, 2013
Learning to map 2D ultrasound images into 3D space with minimal human annotation
PH Yeung, M Aliasi, AT Papageorghiou, M Haak, W Xie, AIL Namburete
Medical Image Analysis 70, 101998, 2021
Low-memory CNNs enabling real-time ultrasound segmentation towards mobile deployment
S Vaze, W Xie, AIL Namburete
IEEE journal of biomedical and health informatics 24 (4), 1059-1069, 2020
Challenges for machine learning in clinical translation of big data imaging studies
NK Dinsdale, E Bluemke, V Sundaresan, M Jenkinson, SM Smith, ...
Neuron 110 (23), 3866-3881, 2022
Data-driven shape parameterization for segmentation of the right ventricle from 3D+ t echocardiography
RV Stebbing, AIL Namburete, R Upton, P Leeson, JA Noble
Medical image analysis 21 (1), 29-39, 2015
Unlearning scanner bias for MRI harmonisation in medical image segmentation
NK Dinsdale, M Jenkinson, AIL Namburete
Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020 …, 2020
TEDS-Net: enforcing diffeomorphisms in spatial transformers to guarantee topology preservation in segmentations
MK Wyburd, NK Dinsdale, AIL Namburete, M Jenkinson
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Spatial warping network for 3D segmentation of the hippocampus in MR images
NK Dinsdale, M Jenkinson, AIL Namburete
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Uncertainty estimates as data selection criteria to boost omni-supervised learning
L Venturini, AT Papageorghiou, JA Noble, AIL Namburete
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Robust regression of brain maturation from 3D fetal neurosonography using CRNs
AIL Namburete, W Xie, JA Noble
Fetal, Infant and Ophthalmic Medical Image Analysis: International Workshop …, 2017
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
LS Hesse, M Aliasi, F Moser, MC Haak, W Xie, M Jenkinson, ...
NeuroImage 254, 119117, 2022
Regional variations in fascicle curvatures within a muscle belly change during contraction
AIL Namburete, JM Wakeling
Journal of biomechanics 45 (16), 2835-2840, 2012
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