Author

Dimitra Tsivaka

University of ThessalyORCID 0000-0002-4584-0236Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

David J. LythgoeiD· 3 shared Jonathan C.W. BrooksiD· 3 shared Matthew A. HowardiD· 3 shared Olivia S. KowalczykiD· 3 shared Sonia MedinaiD· 2 shared Stephen Brendan McMahoniD· 2 shared Steven WilliamsiD· 2 shared Alessandra VeneziaiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

David J. LythgoeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Test-retest reliability of sensorimotor activity measured with spinal cord fMRI

Olivia S. Kowalczyk, Sonia Medina, Alessandra Venezia, Dimitra Tsivaka, Aminul Islam Ahmed, Steven Williams, Jonathan C.W. Brooks, David J. Lythgoe, Matthew A. Howard

This study evaluates the test-retest reliability of spinal cord fMRI during sensorimotor tasks, finding poor-to-fair reliability despite consistent task performance and signal quality.

Human Brain Mapping · Jun 29, 2026Peer-reviewedNeuroscience

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

Rohan Banerjee, Merve Kaptan, Alexandra Tinnermann, Ali Khatibi, Alice Dabbagh, Christian Büchel, Christian W. Kündig, Christine Sze Wan Law, Dario Pfyffer, David J. Lythgoe, Dimitra Tsivaka, Dimitri Van De Ville, Falk Eippert, Fauziyya Muhammad, Gary H. Glover, , 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.

Imaging Neuroscience · Jan 1, 2025Peer-reviewedNeuroscience

A novel implementation of spinal fMRI demonstrates segmental organisation of functionally connected networks in the cervical spinal cord: A test-retest reliability study

Olivia S. Kowalczyk, Sonia Medina, Dimitra Tsivaka, Stephen Brendan McMahon, Steven Williams, Jonathan C.W. Brooks, David J. Lythgoe, Matthew A. Howard

This paper introduces a novel spinal fMRI method to study functional connectivity in the cervical spinal cord, finding mixed test-retest reliability but consistent spatial organization across sessions.

bioRxiv · Feb 27, 2023 · PreprintNeuroscience