Author

Songyuan Shi

King's College London

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 22, 2026

Localising the Seizure Onset Zone from Routine Interictal and Ictal Scalp EEG Via a Factorised Spatiotemporal Ensemble Deep Learning Framework

Songyuan Shi

This paper develops a deep learning framework to localise the seizure onset zone from routine scalp EEG, achieving high accuracy and generalisation across datasets.

DOI 10.64898/2026.10.16.759501

humanelectronic health records

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