Namburete A - Search Results

1

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

Huang R, Namburete A, Noble A. Huang R, et al. Among authors: namburete a. J Med Imaging (Bellingham). 2018 Jan;5(1):014007. doi: 10.1117/1.JMI.5.1.014007. Epub 2018 Mar 10. J Med Imaging (Bellingham). 2018. PMID: 29541649 Free PMC article.

2

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

Everwijn SMP, Namburete AIL, van Geloven N, Jansen FAR, Papageorghiou AT, Noble AJ, Teunissen AKK, Rozendaal L, Blom NA, van Lith JMM, Haak MC. Everwijn SMP, et al. Among authors: namburete ail. Acta Obstet Gynecol Scand. 2019 Dec;98(12):1595-1602. doi: 10.1111/aogs.13687. Epub 2019 Aug 24. Acta Obstet Gynecol Scand. 2019. PMID: 31322290 Free article.

3

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

Moser F, Huang R; INTERGROWTH-21(st) Consortium; Papież BW, Namburete AIL. Moser F, et al. Among authors: namburete ail. Neuroimage. 2022 Sep;258:119341. doi: 10.1016/j.neuroimage.2022.119341. Epub 2022 May 30. Neuroimage. 2022. PMID: 35654376 Free article.

4

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

Namburete AI, Stebbing RV, Kemp B, Yaqub M, Papageorghiou AT, Alison Noble J. Namburete AI, et al. Med Image Anal. 2015 Apr;21(1):72-86. doi: 10.1016/j.media.2014.12.006. Epub 2015 Jan 3. Med Image Anal. 2015. PMID: 25624045 Free PMC article.

5

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

Namburete AIL, Xie W, Yaqub M, Zisserman A, Noble JA. Namburete AIL, et al. Med Image Anal. 2018 May;46:1-14. doi: 10.1016/j.media.2018.02.006. Epub 2018 Feb 21. Med Image Anal. 2018. PMID: 29499436

6

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

Hesse LS, Aliasi M, Moser F; INTERGROWTH-21(st) Consortium; Haak MC, Xie W, Jenkinson M, Namburete AIL. Hesse LS, et al. Neuroimage. 2022 Jul 1;254:119117. doi: 10.1016/j.neuroimage.2022.119117. Epub 2022 Mar 21. Neuroimage. 2022. PMID: 35331871 Free article.

7

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

Stebbing RV, Namburete AI, Upton R, Leeson P, Noble JA. Stebbing RV, et al. Med Image Anal. 2015 Apr;21(1):29-39. doi: 10.1016/j.media.2014.12.002. Epub 2014 Dec 24. Med Image Anal. 2015. PMID: 25577559

8

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

Dinsdale NK, Bluemke E, Smith SM, Arya Z, Vidaurre D, Jenkinson M, Namburete AIL. Dinsdale NK, et al. Neuroimage. 2021 Jan 1;224:117401. doi: 10.1016/j.neuroimage.2020.117401. Epub 2020 Sep 24. Neuroimage. 2021. PMID: 32979523 Free article.

9

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

Dinsdale NK, Jenkinson M, Namburete AIL. Dinsdale NK, et al. Neuroimage. 2021 Mar;228:117689. doi: 10.1016/j.neuroimage.2020.117689. Epub 2020 Dec 30. Neuroimage. 2021. PMID: 33385551 Free PMC article.

10

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

Yeung PH, Aliasi M, Papageorghiou AT, Haak M, Xie W, Namburete AIL. Yeung PH, et al. Med Image Anal. 2021 May;70:101998. doi: 10.1016/j.media.2021.101998. Epub 2021 Feb 16. Med Image Anal. 2021. PMID: 33711741

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