Ana I. L. Namburete

Orcid: 0000-0002-9119-436X

Affiliations:
  • University of Oxford, Institute of Biomedical Engineering


According to our database1, Ana I. L. Namburete authored at least 52 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representation.
Medical Image Anal., 2024

Anatomically plausible segmentations: Explicitly preserving topology through prior deformations.
Medical Image Anal., 2024

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos.
CoRR, 2024

RapidVol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans.
CoRR, 2024

Prototype Learning for Explainable Brain Age Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Geometric Transformation Uncertainty for Improving 3D Fetal Brain Pose Prediction from Freehand 2D Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Gated Self Attention Convolutional Neural Networks for Predicting Adverse Birth Outcomes.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

2023
Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk.
Frontiers Bioinform., May, 2023

Prototype Learning for Explainable Regression.
CoRR, 2023

Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023

The impact of projected increases in obesity prevalence on incident liver disease in the UK: Insights from Bayesian-network modelling.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography.
NeuroImage, 2022

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.
NeuroImage, 2022

STAMP: Simultaneous Training and Model Pruning for low data regimes in medical image segmentation.
Medical Image Anal., 2022

Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Adaptive 3D Localization of 2D Freehand Ultrasound Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

FedHarmony: Unlearning Scanner Bias with Distributed Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal.
NeuroImage, 2021

Learning patterns of the ageing brain in MRI using deep convolutional networks.
NeuroImage, 2021

Learning to map 2D ultrasound images into 3D space with minimal human annotation.
Medical Image Anal., 2021

ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation.
CoRR, 2021

Challenges for machine learning in clinical translation of big data imaging studies.
CoRR, 2021

Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Assessment of Regional Cortical Development Through Fissure Based Gestational Age Estimation in 3D Fetal Ultrasound.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis.
IEEE Trans. Medical Imaging, 2020

Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment.
IEEE J. Biomed. Health Informatics, 2020

Cortical Plate Segmentation Using CNNs in 3D Fetal Ultrasound.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Segmenting Hepatocellular Carcinoma in Multi-phase CT.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Improving U-Net Segmentation with Active Contour Based Label Correction.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Unlearning Scanner Bias for MRI Harmonisation in Medical Image Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unlearning Scanner Bias for MRI Harmonisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Spatial Warping Network for 3D Segmentation of the Hippocampus in MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.
Medical Image Anal., 2018

Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2015
Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography.
Medical Image Anal., 2015

Learning-based prediction of gestational age from ultrasound images of the fetal brain.
Medical Image Anal., 2015

Automated Mid-sagittal Plane Selection for Corpus Callosum Visualization in 3D Ultrasound Images.
Proceedings of the Medical Image Understanding and Analysis, 2015

2014
Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium.
Proceedings of the Medical Image Understanding and Analysis, 2014

Predicting Fetal Neurodevelopmental Age from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Fetal cranial segmentation in 2D ultrasound images using shape properties of pixel clusters.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Projecting the rate of in-field pixel defects based on pixel size, sensor area, and ISO.
Proceedings of the Sensors, 2012

2011
Predicting Pixel Defect Rates Based on Image Sensor Parameters.
Proceedings of the 2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2011


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