Author

A. Uus

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:imaging· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:spatial domain detection· 2 Approach:experimental assay· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

K. Pushparajah· 3 shared M. Deprez· 3 shared I. Grigorescu· 2 shared A. N. Price· 1 shared A. P. King· 1 shared D. F. A. Lloyd· 1 shared D. F. Lloyd· 1 shared D. Lloyd· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersBioengineering

K. Pushparajah

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Author profile →

3 papers

Recent·Most cited

Automated atlas-based multi-label fetal cardiac vesselsegmentation in Congenital Heart Disease

P. M. Ramirez, A. Uus, M. P. M. van Poppel, I. Grigorescu, J. K. Steinweg, D. F. A. Lloyd, K. Pushparajah, A. P. King, M. Deprez

The paper proposes an automated deep learning framework for multi-label fetal cardiac vessel segmentation in MRI, achieving high accuracy and outperforming label propagation methods.

bioRxiv · Jan 14, 2022 · PreprintBioengineering

3D UNet with GAN discriminator for robust localisation of the fetal brain and trunk in MRI with partial coverage of the fetal body

A. Uus, I. Grigorescu, M. van Poppel, E. Hughes, J. Steinweg, T. Roberts, D. Lloyd, K. Pushparajah, M. Deprez

This paper proposes a 3D UNet with a GAN discriminator to accurately localize the fetal brain and trunk in MRI scans with partial body coverage.

bioRxiv · Jun 23, 2021 · PreprintBioengineering

Fetal whole-heart 4D flow cine MRI using multiple non-coplanar balanced SSFP stacks

T. A. Roberts, J. F. van Amerom, A. Uus, D. F. Lloyd, A. N. Price, J.-D. Tournier, L. H. Jackson, S. J. Malik, M. P. van Poppel, K. Pushparajah, M. A. Rutherford, R. Rezavi, M. Deprez, J. V. Hajnal

This paper develops a 4D flow MRI framework for fetal heart circulation visualization and quantification using non-coplanar velocity-encoding stacks.

bioRxiv · May 13, 2019 · PreprintBioengineering