Ana IL Namburete
TitleCited byYear
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
412011
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
322013
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
312015
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
192013
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
182018
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
162015
Regional variations in fascicle curvatures within a muscle belly change during contraction
AIL Namburete, JM Wakeling
Journal of biomechanics 45 (16), 2835-2840, 2012
112012
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
82013
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 andá…, 2011
82011
Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets
R Huang, JA Noble, AIL Namburete
International Conference on Medical Image Computing and Computer-Assistedá…, 2018
72018
Projecting the rate of in-field pixel defects based on pixel size, sensor area, and ISO
GH Chapman, J Leung, R Thomas, A Namburete, Z Koren, I Koren
Sensors, Cameras, and Systems for Industrial and Scientific Applicationsá…, 2012
62012
Predicting fetal neurodevelopmental age from ultrasound images
AIL Namburete, M Yaqub, B Kemp, AT Papageorghiou, JA Noble
International conference on medical image computing and computer-assistedá…, 2014
42014
Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium.
AIL Namburete, RV Stebbing, JA Noble
MIUA, 27-32, 2014
42014
Nakagami-based choroid plexus detection in fetal ultrasound images using adaboost
A Namburete, B Rahmatullah, JA Noble
Proc. of the Medical Image Understanding and Analysis, 31-36, 2012
42012
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
22017
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas
AIL Namburete, R van Kampen, AT Papageorghiou, BW Papie┐
Data Driven Treatment Response Assessment and Preterm, Perinatal, andá…, 2018
12018
Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor
R Huang, A Namburete, A Noble
Journal of Medical Imaging 5 (1), 014007, 2018
12018
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
F Moser, R Huang, AT Papageorghiou, BW Papiez, AIL Namburete
arXiv preprint arXiv:1911.07566, 2019
2019
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
J Jiao, AIL Namburete, AT Papageorghiou, JA Noble
International Workshop on Machine Learning in Medical Imaging, 178-186, 2019
2019
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-Assistedá…, 2019
2019
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Articles 1–20