Author

Christian W. Kündig

University of ZurichORCID 0009-0007-0351-6108Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Gergely DávidiD· 2 shared Jürgen FinsterbuschiD· 2 shared Patrick FreundiD· 2 shared Alexandra TinnermanniD· 1 shared Ali KhatibiiD· 1 shared Alice DabbaghiD· 1 shared Benjamin De LeeneriD· 1 shared Christian BücheliD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Gergely DávidORCID

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2 papers

Recent·Most cited

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2025

EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data

Rohan Banerjee, Merve Kaptan, Alexandra Tinnermann…·Julien Cohen‐Adad

The paper introduces EPISeg, a deep learning model for automated spinal cord segmentation on gradient-echo EPI data, showing improved performance over existing methods.

5 citations

imagingdeep learning

𝕏 PostBluesky

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2024

Functional magnetic resonance imaging of the lumbosacral cord during a lower extremity motor task

Christian W. Kündig, Jürgen Finsterbusch, Patrick Freund, Gergely Dávid

This study demonstrates the feasibility of BOLD fMRI in detecting neuronal activation in the lumbosacral cord during lower extremity motor tasks and shows TE-dependent effects on BOLD signal.

3 citations

humanimaging

𝕏 PostBluesky