Ana I. L. Namburete
Orcid: 0000-0002-9119-436XAffiliations:
- 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:
Collaborative distances:
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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
CoRR, 2024
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
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
NeuroImage, 2022
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
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
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
NeuroImage, 2021
Medical Image Anal., 2021
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation.
CoRR, 2021
CoRR, 2021
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
IEEE Trans. Medical Imaging, 2020
Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment.
IEEE J. Biomed. Health Informatics, 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
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
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
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
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
Proceedings of the 2011 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2011