A. Namburete

发表

Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings

Raquel Oliveira Prates, T. Washio, J. Noble, 2020, MIUA.

Cranial Parametrization of the Fetal Head for 3 D Ultrasound Image Analysis

A. Namburete, 2019 .

Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks

A. Papageorghiou, Ruobing Huang, B. Papież, 2019, MIUA.

Regional variations in fascicle curvatures within a muscle belly change during contraction.

J. Wakeling, A. Namburete, 2012, Journal of biomechanics.

Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images

J. Alison Noble, Mohammad Yaqub, Ruobing Huang, 2015, MIUA.

Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks pdf

Bartlomiej W. Papiez, Ruobing Huang, Ana I. L. Namburete, 2019, MIUA.

Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound

Mark Jenkinson, Aris Papageorghiou, Ana I. L. Namburete, 2021, UNSURE/PIPPI@MICCAI.

The association between flow and oxygenation and cortical development in fetuses with congenital heart defects using a brain‐age prediction algorithm

A. Papageorghiou, N. Blom, S. Everwijn, 2020, Prenatal diagnosis.

Cortical development in fetuses with congenital heart defects using an automated brain‐age prediction algorithm

A. Papageorghiou, N. Blom, S. Everwijn, 2019, Acta obstetricia et gynecologica Scandinavica.

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images

Monique C. Haak, Weidi Xie, A. Namburete, 2022, MICCAI.

Segmenting Hepatocellular Carcinoma in Multi-phase CT

Michael Brady, Ana I. L. Namburete, John Connell, 2020, MIUA.

Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images.

James M Wakeling, Manku Rana, J. Wakeling, 2011, Journal of biomechanics.

Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor

Ruobing Huang, Ana Namburete, Alison Noble, 2018, Journal of medical imaging.

Learning-based prediction of gestational age from ultrasound images of the fetal brain

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2015, Medical Image Anal..

The effect of external compression on the mechanics of muscle contraction.

James M Wakeling, J. Wakeling, A. Namburete, 2013, Journal of applied biomechanics.

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning

M. Jenkinson, Weidi Xie, A. Namburete, 2021, NeuroImage.

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

J. Alison Noble, Jianbo Jiao, Aris T. Papageorghiou, 2020, IEEE Transactions on Medical Imaging.

Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound

J. Alison Noble, Aris Papageorghiou, Ana I. L. Namburete, 2019, MIUA.

Learning to map 2D ultrasound images into 3D space with minimal human annotation

Aris Papageorghiou, Weidi Xie, Ana I. L. Namburete, 2021, Medical Image Anal..

Fully‐automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi‐task learning

Andrew Zisserman, J. Alison Noble, Mohammad Yaqub, 2018, Medical Image Anal..

Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound

Mark Jenkinson, Ana I. L. Namburete, Madeleine K. Wyburd, 2020, MIUA.

Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas

Aris Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete, 2018, DATRA/PIPPI@MICCAI.

Nakagami-Based Choroid Plexus Detection in Fetal Ultrasound Images using AdaBoost

Bahbibi Rahmatullah, Ana I. L. Namburete, Alison Noble, 2015 .

Nakagami-Based AdaBoost Learning Framework for Detection of Anatomical Landmarks in 2D Fetal Neurosonograms

J. Alison Noble, Bahbibi Rahmatullah, Ana I. L. Namburete, 2013 .

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

A. Fichera, D. Cuthbertson, A. Namburete, 2023, Frontiers in Endocrinology.

ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation pdf

Ana I. L. Namburete, Pak-Hei Yeung, Linde S. Hesse, 2021, ArXiv.

Predicting Fetal Neurodevelopmental Age from Ultrasound Images

J. Alison Noble, Mohammad Yaqub, Aris Papageorghiou, 2014, MICCAI.

Improving U-Net Segmentation with Active Contour Based Label Correction

Ana I. L. Namburete, Linde S. Hesse, A. Namburete, 2020, MIUA.

Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound

Ana I. L. Namburete, Sagar Vaze, A. Namburete, 2018, DATRA/PIPPI@MICCAI.

Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium

J. Alison Noble, Richard V. Stebbing, Ana I. L. Namburete, 2014, MIUA.

Regional variations in fascicle curvatures within a muscle belly change during contraction.

J. Wakeling, A. Namburete, 2012, Journal of biomechanics.

Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment

Weidi Xie, Ana Namburete, Sagar Vaze, 2020, IEEE Journal of Biomedical and Health Informatics.

Article Title: The Effect of External Compression on the Mechanics of Muscle Contraction

J. Wakeling, A. Namburete, Meghan E. Jackman, 2012 .

Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography

J. Alison Noble, Richard V. Stebbing, Paul Leeson, 2015, Medical Image Anal..

Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning

J. Alison Noble, Ana I. L. Namburete, Aris Papageorghiou, 2020, MICCAI.