University of Oxford OMNI Oxford Machine
Learning in
NeuroImaging Lab
Publications

Papers, preprints and code

Newest first. Lab members are in bold; filter by research theme or search below.

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All Computational ultrasound Atlases & segmentation Harmonisation & deployment Scan to outcome Has code

Highlights

Nature · 2023 Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years

Namburete AIL, Papież BW, Fernandes M, Wyburd MK, Hesse LS, et al.

A normative atlas of how the fetal brain matures week by week, built from 3D ultrasound in the international INTERGROWTH-21st study.

Nature Communications · 2026 Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age

Wyburd MK, Kennedy SH, Fernandes M, Dinsdale NK, Hesse LS, et al.

2026

  1. Shadow Reduction in Ultrasound Imaging Using Differentiable Simulation and Radiance Field Decomposition
    Bacher V, Yeung PH, Kainz B, Wyburd MK, Dinsdale NK, Gray M, Namburete AIL · arXiv · Sep 2026
    Preprint Demo Code Computational ultrasound Preprint
  2. Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos
    Bai J, Zhou Z, Tang Y, Gan J, Liang Z, Fan J, Mcguire LB, Clarke JL, et al. · Medical Image Analysis · Jun 2026
    Website PDF
  3. UltraGauss: Ultrafast Gaussian Reconstruction of 3D Ultrasound Volumes
    Eid M, Namburete A, Henriques JF · ICLR · Apr 2026
    Website PDF Demo Computational ultrasound
  4. Impaired fetal brain growth and neurodevelopmental deficits at 2 years: deep phenotyping of maternal–fetal pathophysiology
    Villar J, Carvalho M, Gunier R, McGready R, Valdespino Y, Lagerborg KA, Barros FC, Conde-Agudelo A, et al. · The Lancet Obstetrics, Gynaecology, & Women's Health · Apr 2026
    Website PDF Robust everywhere From scan to outcome
  5. Clinical Grading of Artificial Intelligence‐Based 3D Fetal Brain Segmentations: A Cross‐Vendor Evaluation of Deep Learning in Fetal Neuroimaging
    Aliasi M, Hesse LS, Wyburd MK, Snoep MC, Smit RM, Namburete AIL, Haak MC · Prenatal Diagnosis · Feb 2026
    Website PDF Robust everywhere From scan to outcome
  6. Normative growth trajectories of fetal brain regions validated by satisfactory maturation of neurodevelopmental domains at 2 years of age
    Wyburd MK, Kennedy SH, Fernandes M, Dinsdale NK, Hesse LS, Gunier RB, Ismail LC, Ohuma EO, et al. · Nature Communications · Feb 2026
    Website PDF From scan to outcome
  7. Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early‐onset fetal growth restriction
    Meijerink L, Wyburd M, Namburete AIL, Alderliesten T, Groenendaal F, Benders M, Terstappen F, Bekker MN · Ultrasound in Obstetrics & Gynecology · Jan 2026
    Website PDF Robust everywhere From scan to outcome
  8. Semi-supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
    Yeung P, Ramesh J, Lyu P, Namburete A, Rajapakse J · Lecture Notes in Computer Science · Jan 2026
    Website PDF Code Brain atlases and segmentation From scan to outcome

2025

  1. Cross‐Modality Comparison of Fetal Brain Phenotypes: Insights From Short‐Interval Second‐Trimester MRI and Ultrasound Imaging
    Wyburd MK, Dinsdale NK, Kyriakopoulou V, Venturini L, Wright R, Uus A, Matthew J, Skelton E, et al. · Human Brain Mapping · Oct 2025
    Website PDF From scan to outcome
  2. RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
    Eid MC, Yeung P, Wyburd MK, Henriques JF, Namburete AI · 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) · Apr 2025
    Website PDF Computational ultrasound
  3. Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound
    Omolegan J, Yeung PH, Wyburd MK, Hesse L, Haak M, Namburete AIL, Dinsdale NK · 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) · Apr 2025
    Website PDF From scan to outcome
  4. Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images
    Ramesh J, Bacher V, Eid MC, Kalabizadeh H, Rupprecht C, Namburete AI, Yeung P, Wyburd MK, et al. · arXiv · Jan 2025
    Website PDF Preprint

2024

  1. Anatomically plausible segmentations: Explicitly preserving topology through prior deformations
    Wyburd MK, Dinsdale NK, Jenkinson M, Namburete AI · Medical Image Analysis · 2024
    Website PDF Brain atlases and segmentation From scan to outcome
  2. Is Your Style Transfer Doing Anything Useful? An Investigation Into Hippocampus Segmentation and the Role of Preprocessing
    Kalabizadeh H, Griffanti L, Yeung PH, Voets N, Gillis G, Mackay CE, Namburete AI, Dinsdale NK, et al. · openRxiv · 2024
    Website PDF From scan to outcome
  3. Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation
    Yeung P, Hesse LS, Aliasi M, Haak MC, Xie W, Namburete AI · Medical Image Analysis · 2024
    Website PDF Code Computational ultrasound
  4. UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
    Dinsdale NK, Jenkinson M, Namburete AI · openRxiv · 2024
    Website PDF Code Robust everywhere
  5. Automated quality assessment using appearance-based simulations and hippocampus segmentation on low-field paediatric brain MR images
    Sundaresan V, Dinsdale NK · arXiv · 2024
    Website PDF Preprint
  6. Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos
    Ramesh J, Dinsdale N, Yeung P, Namburete AIL · Lecture Notes in Computer Science · 2024
    Website Computational ultrasound

2023

  1. Normative spatiotemporal fetal brain maturation with satisfactory development at 2 years
    Namburete AIL, Papież BW, Fernandes M, Wyburd MK, Hesse LS, Moser FA, Ismail LC, Gunier RB, et al. · Nature · 2023
    Website PDF From scan to outcome
  2. Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes
    Roibu A, Adaszewski S, Schindler T, Smith SM, Namburete AI, Lange FJ · 2023 10th IEEE Swiss Conference on Data Science (SDS) · 2023
    Website PDF From scan to outcome
  3. Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk
    Waddell T, Namburete AIL, Duckworth P, Eichert N, Thomaides-Brears H, Cuthbertson DJ, Despres JP, Brady M · Frontiers in Bioinformatics · 2023
    Website PDF
  4. The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling
    Waddell TH, Namburete AI, Duckworth P, Cuthbertson D, Mccracken C, Brady M · 2023 the 7th International Conference on Medical and Health Informatics (ICMHI) · 2023
    Website
  5. 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
    Waddell T, Namburete A, Duckworth P, Fichera A, Telford A, Thomaides-Brears H, Cuthbertson DJ, Brady M · Frontiers in Endocrinology · 2023
    Website PDF
  6. SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
    Dinsdale NK, Jenkinson M, Namburete AI · arXiv · 2023
    Website PDF Code Robust everywhere Preprint
  7. Prototype Learning for Explainable Brain Age Prediction
    Hesse LS, Dinsdale NK, Namburete AIL · arXiv · 2023
    Website PDF Robust everywhere From scan to outcome Preprint

2022

  1. Challenges for machine learning in clinical translation of big data imaging studies
    Dinsdale NK, Bluemke E, Sundaresan V, Jenkinson M, Smith SM, Namburete AI · Neuron · 2022
    Website PDF Robust everywhere
  2. STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation
    Dinsdale NK, Jenkinson M, Namburete AI · Medical Image Analysis · 2022
    Website PDF Code Brain atlases and segmentation Robust everywhere
  3. BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography
    Moser F, Huang R, Papież BW, Namburete AI · NeuroImage · 2022
    Website PDF From scan to outcome
  4. Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning
    Hesse LS, Aliasi M, Moser F, Haak MC, Xie W, Jenkinson M, Namburete AI · NeuroImage · 2022
    Website PDF From scan to outcome
  5. INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples
    Hesse LS, Namburete AIL · Lecture Notes in Computer Science · 2022
    Website PDF Robust everywhere
  6. FedHarmony: Unlearning Scanner Bias with Distributed Data
    Dinsdale NK, Jenkinson M, Namburete AI · arXiv · 2022
    Website PDF Code Robust everywhere Preprint

2021

  1. Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
    Dinsdale NK, Jenkinson M, Namburete AI · NeuroImage · 2021
    Website PDF Code Robust everywhere
  2. Learning patterns of the ageing brain in MRI using deep convolutional networks
    Dinsdale NK, Bluemke E, Smith SM, Arya Z, Vidaurre D, Jenkinson M, Namburete AI · NeuroImage · 2021
    Website PDF From scan to outcome
  3. Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound
    Wyburd MK, Hesse LS, Aliasi M, Jenkinson M, Papageorghiou AT, Haak MC, Namburete AIL · Lecture Notes in Computer Science · 2021
    Website PDF From scan to outcome
  4. TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
    Wyburd MK, Dinsdale NK, Namburete AIL, Jenkinson M · Lecture Notes in Computer Science · 2021
    Website Code PDF Brain atlases and segmentation

2020

  1. Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment
    Vaze S, Xie W, Namburete AIL · IEEE Journal of Biomedical and Health Informatics · 2020
    Website PDF Code Brain atlases and segmentation Robust everywhere
  2. Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
    Venturini L, Papageorghiou AT, Noble JA, Namburete AIL · Lecture Notes in Computer Science · 2020
    Website PDF Robust everywhere
  3. Improving U-Net Segmentation with Active Contour Based Label Correction
    Hesse LS, Namburete AIL · Communications in Computer and Information Science · 2020
    Website PDF Brain atlases and segmentation From scan to outcome
  4. Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
    Venturini L, Papageorghiou AT, Noble JA, Namburete AIL · Communications in Computer and Information Science · 2020
    Website PDF Brain atlases and segmentation From scan to outcome
  5. Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound
    Wyburd MK, Jenkinson M, Namburete AIL · Communications in Computer and Information Science · 2020
    Website PDF Brain atlases and segmentation From scan to outcome

2018

  1. Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning
    Namburete AI, Xie W, Yaqub M, Zisserman A, Noble JA · Medical Image Analysis · 2018
    Website PDF From scan to outcome

2015

  1. Learning-based prediction of gestational age from ultrasound images of the fetal brain
    Namburete AI, Stebbing RV, Kemp B, Yaqub M, Papageorghiou AT, Noble JA · Medical Image Analysis · 2015
    Website PDF From scan to outcome