Author

Simon Schading‐Sassenhausen

University of ZurichORCID 0000-0003-3969-193XUnclaimed 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 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Patrick FreundiD· 2 shared Alexandra TinnermanniD· 1 shared Ali KhatibiiD· 1 shared Alice DabbaghiD· 1 shared Benjamin De LeeneriD· 1 shared Charlotte Meneghin· 1 shared Christian BücheliD· 1 shared Christian W. KündigiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Patrick FreundORCID

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2 papers

Recent·Most cited

NeuroscienceThe Journal of NeurosciencePeer-reviewedJul 20, 2026

Revisiting face-to-hand area remapping in the human primary somatosensory cortex after a cervical spinal cord injury

P Howell, Finn Rabe, Charlotte Meneghin…·Sanne Kikkert

This study investigates face-to-hand area remapping in human cervical SCI patients and finds no significant evidence of such remapping in fMRI experiments.

DOI 10.1523/jneurosci.0644-25.2026

humanimaging

𝕏 PostBluesky

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