Author

Daniel Kor

University of OxfordORCID 0000-0001-7881-8214Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:spatial domain detection· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Adele SmartiD· 3 shared Amy F.D. HowardiD· 3 shared István N. HuszáriD· 3 shared Karla L. MilleriD· 3 shared Saâd JbabdiiD· 3 shared Benjamin C. TendleriD· 2 shared Jeroen MollinkiD· 2 shared Menuka M. Pallebage‐GamarallageiD· 2 shared

Activity by Year

2022-2025 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Adele SmartORCID

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3 papers

Recent·Most cited

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2025

Linking microscopy to diffusion MRI with degenerate biophysical models: an application of the Bayesian EstimatioN of CHange (BENCH) framework

Daniel Kor, Hossein Rafipoor, István N. Huszár…·Amy F.D. Howard

The paper applies the BENCH framework to link diffusion MRI signal changes to microstructural features in brain tissue using histology data.

DOI 10.1162/imag.a.85

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedDec 9, 2022

Tensor Image Registration Library: Automated Deformable Registration of Stand-Alone Histology Images to Whole-Brain Post-Mortem MRI Data

István N. Huszár, Menuka M. Pallebage‐Gamarallage, Sarah Bangerter-Christensen…·Mark Jenkinson

The paper introduces an automated pipeline for registering stand-alone histology sections to whole-brain MRI data with sub-voxel accuracy.

23 citations

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedNov 8, 2022

An automated pipeline for extracting quantitative histological metrics for voxelwise MRI-histology comparisons

Daniel Kor, Saâd Jbabdi, István N. Huszár…·Amy F.D. Howard

This paper introduces an automated pipeline to extract quantitative histological metrics for voxelwise MRI-histology comparisons and finds activated microglia strongly predicts DTI FA, suggesting diffusion MRI sensitivity to neuroinflammation.

12 citations

𝕏 PostBluesky