| Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal NK Dinsdale, M Jenkinson, AIL Namburete NeuroImage 228, 117689, 2021 | 97 | 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 | 88 | 2021 |
| 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 | 87 | 2018 |
| 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 | 83 | 2015 |
| 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 | 58 | 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 | 56 | 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 | 34 | 2018 |
| 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 | 31 | 2013 |
| 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 | 26 | 2015 |
| 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 | 25 | 2020 |
| 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 | 22 | 2020 |
| Challenges for machine learning in clinical translation of big data imaging studies NK Dinsdale, E Bluemke, V Sundaresan, M Jenkinson, SM Smith, ... Neuron, 2022 | 20 | 2022 |
| 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 | 20 | 2020 |
| 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 | 19 | 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 | 19 | 2019 |
| 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 | 19 | 2017 |
| Regional variations in fascicle curvatures within a muscle belly change during contraction AIL Namburete, JM Wakeling Journal of biomechanics 45 (16), 2835-2840, 2012 | 19 | 2012 |
| 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 | 17 | 2020 |
| Automated fetal brain extraction from clinical ultrasound volumes using 3D convolutional neural networks F Moser, R Huang, AT Papageorghiou, BW Papież, AIL Namburete Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019 …, 2020 | 17 | 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 | 16 | 2021 |
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKVerified email at eng.ox.ac.uk
