Author

Iris A. Kohler

Heidelberg UniversityORCID 0009-0008-0744-150XUnclaimed 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:differential expression· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:simulation· 1 Assay:spatial transcriptomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Jürgen HesseriD· 2 shared Mark E. LaddiD· 2 shared Oliver Goedicke· 2 shared Tristan Anselm KuderiD· 2 shared Lei ZhengiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBiophysics

Jürgen HesserORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintJul 27, 2026

From whole-slide histology to ADC maps: Fast diffusion MRI simulation with neural operators

Iris A. Kohler, Oliver Goedicke, Tristan Anselm Kuder…·Jürgen Hesser

The paper introduces a neural operator framework to accelerate diffusion MRI simulation from histology, achieving high accuracy and speed for large-scale tissue modeling.

DOI 10.64898/2026.07.22.740029

imagingdeep learning

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BiophysicsbioRxivPreprintMay 14, 2026

Large-domain histology-based diffusion MRI simulation via independent local simulations

Iris A. Kohler, Lei Zheng, Tristan Anselm Kuder…·Jürgen Hesser

This paper develops a framework to simulate diffusion MRI from histology at clinically relevant scales, showing accurate results with reduced computational cost.

1 citation

spatial transcriptomicsimaging

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