Author

Grace Haynes

University of OklahomaORCID 0000-0002-4862-0554Unclaimed 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 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Fauziyya MuhammadiD· 2 shared Kenneth Arnold Weber IIiD· 2 shared Zachary Adam SmithiD· 2 shared Alexandra TinnermanniD· 1 shared Ali Fahim KhaniD· 1 shared Ali KhatibiiD· 1 shared Alice DabbaghiD· 1 shared Benjamin De LeeneriD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Fauziyya MuhammadORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 17, 2025

Task-Based Spinal fMRI using a Median Nerve Stimulation Reveals Functional Alterations in Degenerative Cervical Myelopathy

Grace Haynes, Fauziyya Muhammad, Kenneth Arnold Weber II…·Zachary Adam Smith

This study uses median nerve stimulation in fMRI to assess spinal cord function in DCM patients and healthy controls, revealing distinct activation patterns and reduced activation in DCM.

DOI 10.1101/2025.09.17.675603

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