Milou P. M. van Poppel

Orcid: 0000-0002-1739-4726

Affiliations:
  • King's College London, School of Imaging Sciences & Biomedical Engineering, UK


According to our database1, Milou P. M. van Poppel authored at least 9 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
The onset of coarctation of the aorta before birth: Mechanistic insights from fetal arch anatomy and haemodynamics.
Comput. Biol. Medicine, 2024

2023
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.
CoRR, 2023

Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Shape-Guided In-Silico Characterization of 3D Fetal Arch Hemodynamics in Suspected Coarctation of the Aorta.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21-36 weeks GA range.
Medical Image Anal., 2022

Simplifying Disease Staging Models into a Single Anatomical Axis - A Case Study of Aortic Coarctation In-utero.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2019
Image Reconstruction in a Manifold of Image Patches: Application to Whole-Fetus Ultrasound Imaging.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018
Multi-view Image Reconstruction: Application to Fetal Ultrasound Compounding.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018


  Loading...