Author

M. Povazan

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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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

G. Oeltzschner· 1 shared H. J. Zollner· 1 shared I. Ozdemir· 1 shared J. Gillen· 1 shared P. B. Barker· 1 shared R. A. Edden· 1 shared S. Etyemez· 1 shared S. Ganji· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBiochemistry

G. Oeltzschner

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2 papers

Recent·Most cited

Downfield Proton MRSI with whole-brain coverage at 3T

I. Ozdemir, S. Ganji, J. Gillen, S. Etyemez, M. Povazan, P. B. Barker

This paper develops a 3D downfield MRSI protocol and post-processing pipeline for whole-brain metabolite mapping at 3T, showing significant regional differences in certain metabolite peaks.

bioRxiv · Jan 27, 2023Bioengineering

Comparison of different linear-combination modelling algorithms for short-TE proton spectra

H. J. Zollner, M. Povazan, S. Hui, S. Tapper, R. A. Edden, G. Oeltzschner

This paper compares three linear-combination modelling algorithms for short-TE proton MRS spectra, finding moderate agreement in metabolite estimates but significant variability in Glx and mI across algorithms.

bioRxiv · Jun 5, 2020 · PreprintBiochemistry