Publications

Highlights

Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Ana I. L. Namburete, Bartłomiej W. Papież, Michelle Fernandes, Madeleine K. Wyburd, Linde S. Hesse, …, Mark Jenkinson, Zulfiqar A. Bhutta, Aris T. Papageorghiou, José Villar, Stephen H. Kennedy
Nature  ·  25 Oct 2023  ·  doi:10.1038/s41586-023-06630-3

All

2025

Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I.L. Namburete
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)  ·  14 Apr 2025  ·  doi:10.1109/ISBI60581.2025.10980994
Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound
Joshua Omolegan, Pak Hei Yeung, Madeleine K. Wyburd, Linde Hesse, Monique Haak, Ana I. L. Namburete, Nicola K. Dinsdale
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)  ·  14 Apr 2025  ·  doi:10.1109/ISBI60581.2025.10980676
UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes
Mark C. Eid, Ana I. L. Namburete, João F. Henriques
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2505.05643
Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
Jayroop Ramesh, Valentin Bacher, Mark C. Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana IL Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale
arXiv  ·  01 Jan 2025  ·  doi:10.48550/arXiv.2505.14572

2024

Anatomically plausible segmentations: Explicitly preserving topology through prior deformations
Madeleine K. Wyburd, Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete
Medical Image Analysis  ·  01 Oct 2024  ·  doi:10.1016/j.media.2024.103222
Is Your Style Transfer Doing Anything Useful An Investigation Into Hippocampus Segmentation and the Role of Preprocessing
Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing
Hoda Kalabizadeh, Ludovica Griffanti, Pak Hei Yeung, Natalie Voets, Grace Gillis, Clare E Mackay, Ana IL Namburete, Nicola K Dinsdale, Konstantinos Kamnitsas
Cold Spring Harbor Laboratory  ·  22 Aug 2024  ·  doi:10.1101/2024.08.22.24312425
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation
Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I.L. Namburete
Medical Image Analysis  ·  01 May 2024  ·  doi:10.1016/j.media.2024.103147
UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete
Cold Spring Harbor Laboratory  ·  06 Feb 2024  ·  doi:10.1101/2024.02.05.578912
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete
arXiv  ·  01 Jan 2024  ·  doi:10.48550/arXiv.2404.10766
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
Jayroop Ramesh, Nicola Dinsdale, Pak-Hei Yeung, Ana I. L. Namburete
Lecture Notes in Computer Science  ·  01 Jan 2024  ·  doi:10.1007/978-3-031-72378-0_39

2023

Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
Ana I. L. Namburete, Bartłomiej W. Papież, Michelle Fernandes, Madeleine K. Wyburd, Linde S. Hesse, …, Mark Jenkinson, Zulfiqar A. Bhutta, Aris T. Papageorghiou, José Villar, Stephen H. Kennedy
Nature  ·  25 Oct 2023  ·  doi:10.1038/s41586-023-06630-3
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes
Andrei-Claudiu Roibu, Stanislaw Adaszewski, Torsten Schindler, Stephen M. Smith, Ana I.L. Namburete, Frederik J. Lange
2023 10th IEEE Swiss Conference on Data Science (SDS)  ·  01 Jun 2023  ·  doi:10.1109/SDS57534.2023.00010
Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk
T. Waddell, A. I. L. Namburete, P. Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, M. Brady
Frontiers in Bioinformatics  ·  24 May 2023  ·  doi:10.3389/fbinf.2023.1163430
The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling
Tom Henry Waddell, Ana I.L Namburete, Paul Duckworth, Dan Cuthbertson, Celeste Mccracken, Michael Brady
2023 the 7th International Conference on Medical and Health Informatics (ICMHI)  ·  12 May 2023  ·  doi:10.1145/3608298.3608307
Poor glycaemic control and ectopic fat deposition mediates the increased risk of non-alcoholic steatohepatitis in high-risk populations with type 2 diabetes: Insights from Bayesian-network modelling
T. Waddell, A. Namburete, P. Duckworth, A. Fichera, A. Telford, H. Thomaides-Brears, D. J. Cuthbertson, M. Brady
Frontiers in Endocrinology  ·  22 Feb 2023  ·  doi:10.3389/fendo.2023.1063882
Prototype Learning for Explainable Brain Age Prediction
Prototype Learning for Explainable Brain Age Prediction
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
arXiv  ·  01 Jan 2023  ·  doi:10.48550/arXiv.2306.09858

2022

Challenges for machine learning in clinical translation of big data imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I.L. Namburete
Neuron  ·  01 Dec 2022  ·  doi:10.1016/j.neuron.2022.09.012
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete
Medical Image Analysis  ·  01 Oct 2022  ·  doi:10.1016/j.media.2022.102583
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
Felipe Moser, Ruobing Huang, Bartłomiej W. Papież, Ana I.L. Namburete
NeuroImage  ·  01 Sep 2022  ·  doi:10.1016/j.neuroimage.2022.119341
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
Linde S. Hesse, Moska Aliasi, Felipe Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, Ana I.L. Namburete
NeuroImage  ·  01 Jul 2022  ·  doi:10.1016/j.neuroimage.2022.119117
INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples
Linde S. Hesse, Ana I. L. Namburete
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-16437-8_48
FedHarmony: Unlearning Scanner Bias with Distributed Data
FedHarmony: Unlearning Scanner Bias with Distributed Data
Nicola K Dinsdale, Mark Jenkinson, Ana IL Namburete
arXiv  ·  01 Jan 2022  ·  doi:10.48550/arXiv.2205.15970

2021

Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
Nicola K. Dinsdale, Mark Jenkinson, Ana I.L. Namburete
NeuroImage  ·  01 Mar 2021  ·  doi:10.1016/j.neuroimage.2020.117689
Learning patterns of the ageing brain in MRI using deep convolutional networks
Learning patterns of the ageing brain in MRI using deep convolutional networks
Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith, Zobair Arya, Diego Vidaurre, Mark Jenkinson, Ana I.L. Namburete
NeuroImage  ·  01 Jan 2021  ·  doi:10.1016/j.neuroimage.2020.117401
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound
Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-87735-4_23
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-87193-2_24

2020

Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment
Sagar Vaze, Weidi Xie, Ana I. L. Namburete
IEEE Journal of Biomedical and Health Informatics  ·  01 Apr 2020  ·  doi:10.1109/JBHI.2019.2961264
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-59710-8_67
Improving U-Net Segmentation with Active Contour Based Label Correction
Linde S. Hesse, Ana I. L. Namburete
Communications in Computer and Information Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-52791-4_6
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
Communications in Computer and Information Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-39343-4_14
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound
Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete
Communications in Computer and Information Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-52791-4_5

2018

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
Ana I.L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble
Medical Image Analysis  ·  01 May 2018  ·  doi:10.1016/j.media.2018.02.006

2015

Learning-based prediction of gestational age from ultrasound images of the fetal brain
Learning-based prediction of gestational age from ultrasound images of the fetal brain
Ana I.L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble
Medical Image Analysis  ·  01 Apr 2015  ·  doi:10.1016/j.media.2014.12.006