Namburete, Ana I.L.

Deep learning-based unlearning of dataset bias for mri harmonisation and confound removal

Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2021) · NeuroImage

Domain Adaptation and Few-Shot LearningAdvanced MRI Techniques and Applications

Cited by 178

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

Namburete, A. I. L., Stebbing, R. V., Kemp, B., Yaqub, M., Papageorghiou, A. T., & Alison Noble, J. (2015) · Medical Image Analysis

Fetal and Pediatric Neurological DisordersMedical Image Segmentation Techniques

Cited by 97

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

Namburete, A. I. L., Xie, W., Yaqub, M., Zisserman, A., & Noble, J. A. (2018) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 95

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

Yeung, P.-H., Aliasi, M., Papageorghiou, A. T., Haak, M., Xie, W., & Namburete, A. I. L. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 55

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

Hesse, L. S., Aliasi, M., Moser, F., Haak, M. C., Xie, W., Jenkinson, M., & Namburete, A. I. L. (2022) · NeuroImage

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 44

TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations

Wyburd, M. K., Dinsdale, N. K., Namburete, A. I. L., & Jenkinson, M. (2021) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 22

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

Venturini, L., Papageorghiou, A. T., Noble, J. A., & Namburete, A. I. L. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 18

Anatomically plausible segmentations: Explicitly preserving topology through prior deformations

Wyburd, M. K., Dinsdale, N. K., Jenkinson, M., & Namburete, A. I. L. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11