| Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal NK Dinsdale, M Jenkinson, AIL Namburete NeuroImage 228, 117689, 2021 | 154 | 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 | 126 | 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 | 109 | 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 | 100 | 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 | 66 | 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 | 60 | 2011 |
| 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 | 44 | 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 | 42 | 2022 |
| 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 | 42 | 2021 |
| 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 | 40 | 2018 |
| 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 | 32 | 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 | 32 | 2013 |
| 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 | 30 | 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 | 28 | 2020 |
| 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 | 27 | 2015 |
| 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 | 26 | 2021 |
| 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 | 25 | 2020 |
| 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 | 25 | 2019 |
| Implicitvol: Sensorless 3d ultrasound reconstruction with deep implicit representation PH Yeung, L Hesse, M Aliasi, M Haak, W Xie, AIL Namburete arXiv preprint arXiv:2109.12108, 2021 | 23 | 2021 |
| Sli2vol: Annotate a 3d volume from a single slice with self-supervised learning PH Yeung, AIL Namburete, W Xie Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 23 | 2021 |
Alison NobleTechnikos Professor of Biomedical Engineering, University of Oxford, UKDirección de correo verificada de eng.ox.ac.uk