Joanna Chappell

According to our database, Joanna Chappell authored at least 4 papers between 2023 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