Author

Milou P.M. van Poppel

King's College LondonORCID 0000-0002-1739-4726Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:statistical model· 1

Frequent Co-Authors

Alena U. UusiD· 2 shared David F. A. LloydiD· 2 shared Irina GrigorescuiD· 2 shared Johannes K. SteinwegiD· 2 shared Joseph V. HajnaliD· 2 shared Kuberan PushparajahiD· 2 shared Maria DepreziD· 2 shared Mary RutherfordiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Alena U. UusORCID

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2 papers

Recent·Most cited

BioinformaticsMedical Image AnalysisPeer-reviewedMay 25, 2022

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

Alena U. Uus, Irina Grigorescu, Milou P.M. van Poppel…·Maria Deprez

This paper proposes an automated pipeline for reconstructing fetal thorax MRI from motion-corrupted stacks across 21-36 weeks GA, using 3D CNNs and landmark-guided pose estimation.

49 citations

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 16, 2022

3D MRI atlases of congenital aortic arch anomalies and normal fetal heart: application to automated multi-label segmentation

Alena U. Uus, Milou P.M. van Poppel, Johannes K. Steinweg…·Maria Deprez

The paper creates 3D MRI atlases of normal and abnormal fetal aortic arch anatomy and evaluates deep learning for automated multi-label segmentation.

1 citation

humanimaging

𝕏 PostBluesky