Ana I. L. Namburete

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Topics

Volumetric Reconstruction

Medical Image Segmentation

Groupwise Registration

Top Venues

Medical Image Anal.

Publications

Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete
RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans. CoRR (2024)
Jayroop Ramesh, Nicola K. Dinsdale, INTERGROWTH-21 Consortium, Pak-Hei Yeung, Ana I. L. Namburete
Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos. CoRR (2024)
Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation. Medical Image Anal. 94 (2024)
Madeleine K. Wyburd, Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Anatomically plausible segmentations: Explicitly preserving topology through prior deformations. Medical Image Anal. 97 (2024)
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
Prototype Learning for Explainable Brain Age Prediction. WACV (2024)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. ICCV (2023)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. CoRR (2023)
T. Waddell, Ana I. L. Namburete, P. Duckworth, N. Eichert, H. Thomaides-Brears, D. J. Cuthbertson, J. P. Despres, M. Brady
Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk. Frontiers Bioinform. 3 (2023)
Andrei Claudiu Roibu, Stanislaw Adaszewski, Torsten Schindler, Stephen M. Smith, Ana I. L. Namburete, Frederik J. Lange
Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes. SDS (2023)
Linde S. Hesse, Nicola K. Dinsdale, Ana I. L. Namburete
Prototype Learning for Explainable Regression. CoRR (2023)
Tom Henry Waddell, Ana I. L. Namburete, Paul Duckworth, Dan Cuthbertson, Celeste Mccracken, Michael Brady
The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling. ICMHI (2023)
Linde S. Hesse, Ana I. L. Namburete
INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples. MICCAI (3) (2022)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
FedHarmony: Unlearning Scanner Bias with Distributed Data. MICCAI (8) (2022)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation. Medical Image Anal. 81 (2022)
Felipe Moser, Ruobing Huang, INTERGROWTH-21 Consortium, Bartlomiej W. Papiez, Ana I. L. Namburete
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography. NeuroImage 258 (2022)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
FedHarmony: Unlearning Scanner Bias with Distributed Data. CoRR (2022)
Linde S. Hesse, Ana I. L. Namburete
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples. CoRR (2022)
Pak-Hei Yeung, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images. MICCAI (4) (2022)
Linde S. Hesse, Moska Aliasi, Felipe Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, Ana I. L. Namburete
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning. NeuroImage 254 (2022)
Pak-Hei Yeung, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images. CoRR (2022)
Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning. MICCAI (2) (2021)
Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. CoRR (2021)
Madeleine K. Wyburd, Linde S. Hesse, Moska Aliasi, Mark Jenkinson, Aris T. Papageorghiou, Monique C. Haak, Ana I. L. Namburete
Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound. UNSURE/PIPPI@MICCAI (2021)
Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation. CoRR (2021)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal. NeuroImage 228 (2021)
Pak-Hei Yeung, Moska Aliasi, Aris T. Papageorghiou, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
Learning to map 2D ultrasound images into 3D space with minimal human annotation. Medical Image Anal. 70 (2021)
Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning. CoRR (2021)
Nicola K. Dinsdale, Emma Bluemke, Stephen M. Smith, Zobair Arya, Diego Vidaurre, Mark Jenkinson, Ana I. L. Namburete
Learning patterns of the ageing brain in MRI using deep convolutional networks. NeuroImage 224 (2021)
Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. MICCAI (1) (2021)
Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, Mark Jenkinson, Stephen M. Smith, Ana I. L. Namburete
Challenges for machine learning in clinical translation of big data imaging studies. CoRR (2021)
Nora Vogt, Michael Brady, Ged Ridgway, John Connell, Ana I. L. Namburete
Segmenting Hepatocellular Carcinoma in Multi-phase CT. MIUA (2020)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation. MIUA (2020)
Madeleine K. Wyburd, Mark Jenkinson, Ana I. L. Namburete
Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound. MIUA (2020)
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning. MICCAI (1) (2020)
Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. CoRR (2020)
Linde S. Hesse, Ana I. L. Namburete
Improving U-Net Segmentation with Active Contour Based Label Correction. MIUA (2020)
Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis. IEEE Trans. Medical Imaging 39 (12) (2020)
Sagar Vaze, Weidi Xie, Ana I. L. Namburete
Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment. IEEE J. Biomed. Health Informatics 24 (4) (2020)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Unlearning Scanner Bias for MRI Harmonisation. MICCAI (2) (2020)
Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete
Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks. MIUA (2019)
Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. CoRR (2019)
Lorenzo Venturini, Aris T. Papageorghiou, J. Alison Noble, Ana I. L. Namburete
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound. MIUA (2019)
Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete
Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images. MICCAI (3) (2019)
Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks. CoRR (2019)
Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images. MLMI@MICCAI (2019)
Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. 46 (2018)
Ana I. L. Namburete, Raquel van Kampen, Aris T. Papageorghiou, Bartlomiej W. Papiez
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas. DATRA/PIPPI@MICCAI (2018)
Ruobing Huang, J. Alison Noble, Ana I. L. Namburete
Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets. MICCAI (1) (2018)
Sagar Vaze, Ana I. L. Namburete
Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound. DATRA/PIPPI@MICCAI (2018)
Ana I. L. Namburete, Weidi Xie, J. Alison Noble
Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs. FIFI/OMIA@MICCAI (2017)
Richard V. Stebbing, Ana I. L. Namburete, Ross Upton, Paul Leeson, J. Alison Noble
Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography. Medical Image Anal. 21 (1) (2015)
Ruobing Huang, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images. MIUA (2015)
Ana I. L. Namburete, Richard V. Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T. Papageorghiou, J. Alison Noble
Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Anal. 21 (1) (2015)
Ana I. L. Namburete, Richard V. Stebbing, J. Alison Noble
Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium. MIUA (2014)
Glenn H. Chapman, Jenny Leung, Rohit Thomas, Ana I. L. Namburete, Zahava Koren, Israel Koren
Projecting the rate of in-field pixel defects based on pixel size, sensor area, and ISO. Sensors, Cameras, and Systems for Industrial and Scientific Applications (2012)
Glenn H. Chapman, Jenny Leung, Ana I. L. Namburete, Israel Koren, Zahava Koren
Predicting Pixel Defect Rates Based on Image Sensor Parameters. DFT (2011)