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Ana IL Namburete
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Year
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
642015
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
532011
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
502018
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
452013
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
422021
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
282013
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
NK Dinsdale, M Jenkinson, AIL Namburete
NeuroImage 228, 117689, 2021
272021
Omni-supervised learning: scaling up to large unlabelled medical datasets
R Huang, JA Noble, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2018
202018
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
202015
Regional variations in fascicle curvatures within a muscle belly change during contraction
AIL Namburete, JM Wakeling
Journal of biomechanics 45 (16), 2835-2840, 2012
162012
Robust regression of brain maturation from 3D fetal neurosonography using CRNs
AIL Namburete, W Xie, JA Noble
Fetal, Infant and Ophthalmic Medical Image Analysis, 73-80, 2017
122017
Unlearning scanner bias for mri harmonisation
NK Dinsdale, M Jenkinson, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2020
112020
Spatial warping network for 3D segmentation of the hippocampus in MR images
NK Dinsdale, M Jenkinson, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2019
112019
Nakagami-based Adaboost learning framework for detection of anatomical landmarks in 2D fetal neurosonograms
AIL Namburete, B Rahmatullah, JA Noble
Annals of the BMVA 2, 1-16, 2013
112013
Predicting pixel defect rates based on image sensor parameters
GH Chapman, J Leung, A Namburete, I Koren, Z Koren
2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and …, 2011
102011
Uncertainty estimates as data selection criteria to boost omni-supervised learning
L Venturini, AT Papageorghiou, JA Noble, AIL Namburete
International Conference on Medical Image Computing and Computer-Assisted …, 2020
92020
Multi-task CNN for structural semantic segmentation in 3D fetal brain ultrasound
L Venturini, AT Papageorghiou, JA Noble, AIL Namburete
Annual Conference on Medical Image Understanding and Analysis, 164-173, 2019
82019
Multi-channel groupwise registration to construct an ultrasound-specific fetal brain atlas
AIL Namburete, R Kampen, AT Papageorghiou, BW Papież
Data Driven Treatment Response Assessment and Preterm, Perinatal, and …, 2018
82018
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
72020
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
72020
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