Author

H. J. Zollner

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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Biophysics· 2 Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Research Focus:benchmarking· 3 Approach:deep learning· 2 Assay:imaging· 2 Assay:multiome· 1 Assay:proteomics· 1

Frequent Co-Authors

G. Oeltzschner· 3 shared R. A. E. Edden· 2 shared S. C. N. Hui· 2 shared Y. Song· 2 shared A. Ljimani· 1 shared A. T. Gudmundson· 1 shared B. Gagoski· 1 shared C. W. Davies-Jenkins· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersBioengineering

G. Oeltzschner

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Author profile →

4 papers

Recent·Most cited

Integrated Short-TE and Hadamard-edited Multi-Sequence (ISTHMUS) for Advanced MRS

S. C. N. Hui, S. Murali-Manohar, H. J. Zollner, K. E. Hupfeld, C. W. Davies-Jenkins, A. T. Gudmundson, Y. Song, V. Yedavalli, J. L. Wisnowski, B. Gagoski, G. Oeltzschner, R. A. E. Edden

The paper evaluates the ISTHMUS MRS sequence for reproducibility and data quality in the HBCD study, finding improved T2 correction and reduced operator workload.

bioRxiv · Feb 15, 2024Bioengineering

Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting improves intravoxel incoherent motion (IVIM) analysis in the human kidney

J. Stabinska, H. J. Zollner, T. A. Thiel, H.-J. Wittsack, A. Ljimani

The paper introduces IDEAL, a novel fitting algorithm that improves IVIM parameter estimation in kidney diffusion-weighted MRI by reducing noise and increasing robustness compared to conventional methods.

bioRxiv · Jun 9, 2022Biophysics

Importance of linear combination modeling for quantification of Glutathione and GABA levels using Hadamard-edited MRS

Y. Song, H. J. Zollner, S. C. N. Hui, G. Oeltzschner, J. J. Prisciandaro, R. A. E. Edden

This study compares simple peak fitting and linear combination modeling for quantifying glutathione levels in MRS data, finding improved reproducibility with LCM for HERMES data.

bioRxiv · Dec 28, 2021 · PreprintBiophysics

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