Rosalind Aughwane

According to our database, Rosalind Aughwane authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep Learning-Based Fetal Lung Segmentation and Lung Development Evaluation from Diffusion-Weighted Mri Images.

Zhennan Xiao, Katharine Brudkiewicz, Zhen Yuan, Rosalind Aughwane, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Andrew P. King, Andrew Melbourne

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

A Robust Multi-Stage Temporal Registration for Quantitative Analysis of 4D Multi-Parametric Fetal Lung MRI.

Katharine Brudkiewicz, Zhennan Xiao, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Rosalind Aughwane, Andrew Melbourne

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction.

Zhennan Xiao, Katharine Brudkiewicz, Zhen Yuan, Rosalind Aughwane, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Andrew P. King, Andrew Melbourne

CoRR, July, 2025

2023

Visualization and Quantification of Placental Vasculature Using MRI.

Joanna Chappell, Magdalena J. Sokolska, Rosalind Aughwane, Alys R. Clark, Sébastien Ourselin, Anna L. David, Andrew Melbourne

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

2022

PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction.

Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne

CoRR, 2022

2021

Texture-Based Analysis of Fetal Organs in Fetal Growth Restriction.

Aya Mutaz Zeidan, Paula Ramirez Gilliland, Ashay Patel, Zhanchong Ou, Dimitra Flouri, Nada Mufti, Kasia Maksym, Rosalind Aughwane, Sébastien Ourselin, Anna L. David, Andrew Melbourne

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.

Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

NeuroImage, 2020

2019

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling.

Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena J. Sokolska, David Atkinson, Giles S. Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI.

Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency.

Rosalind Aughwane, Magdalena J. Sokolska, Alan Bainbridge, David Atkinson, Giles S. Kendall, Jan Deprest, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018