Ana I. L. Namburete

Affiliations:
  • University of Oxford, Institute of Biomedical Engineering


According to our database1, Ana I. L. Namburete authored at least 37 papers between 2011 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

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

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

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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