| 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 | 21 | 2021 |
| Cortical plate segmentation using CNNs in 3D fetal ultrasound MK Wyburd, M Jenkinson, AIL Namburete Annual Conference on Medical Image Understanding and Analysis, 56-68, 2020 | 15 | 2020 |
| Assessment of regional cortical development through fissure based gestational age estimation in 3D fetal ultrasound MK Wyburd, LS Hesse, M Aliasi, M Jenkinson, AT Papageorghiou, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 14 | 2021 |
| RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans MC Eid, PH Yeung, MK Wyburd, JF Henriques, AIL Namburete arXiv preprint arXiv:2404.10766, 2024 | | 2024 |
| Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years AIL Namburete, BW Papież, M Fernandes, MK Wyburd, LS Hesse, ... Nature 623 (7985), 106-114, 2023 | | 2023 |
| OP08. 03: Success rate of the subcortical 3D fetal brain segmentation using deep learning algorithms. M Aliasi, L Hesse, MK Wyburd, M Snoep, A Namburete, MC Haak Ultrasound in Obstetrics & Gynecology 60, 2022 | | 2022 |
| Preserving known anatomical topology in medical image segmentation using deep learning MK Wyburd University of Oxford, 2022 | | 2022 |
| OC11. 07: Automated grading of fetal cortical development using deep learning algorithms: a preliminary three‐dimensional ultrasound study in healthy fetuses. MK Wyburd, L Hesse, M Aliasi, F Moser, MC Haak, AT Papageorghiou, ... Ultrasound in Obstetrics & Gynecology 58, 2021 | | 2021 |
| OC11. 03: Deep learning‐based assessment of second trimester cortical plate development in three‐dimensional ultrasound MK Wyburd, AT Papageorghiou, M Jenkinson, AI Namburete Ultrasound in Obstetrics & Gynecology 58, 33-33, 2021 | | 2021 |
