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49 lines (48 loc) · 2.38 KB
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# Citation File Format (https://citation-file-format.github.io/).
# GitHub reads this to show a "Cite this repository" button.
# Full attribution requirements: https://app.cortexeeg.org/citation
#
# TODO (on publication): uncomment the `preferred-citation` block below and fill
# in the peer-reviewed methodology paper (title, journal, year, DOI). Once set,
# GitHub will surface the paper as the preferred citation instead of the software.
# TODO (with Stanford OTL): set `license` once the non-commercial + attribution
# license is finalized.
cff-version: 1.2.0
message: "If you use CORTEX or its methodology (including reimplementations or adaptations to other domains), please cite it as below. See https://app.cortexeeg.org/citation for full attribution requirements."
title: "CORTEX: An Adaptive Platform for EEG Interpretation Skill Assessment and Training"
abstract: "CORTEX is an online platform that assesses and trains clinicians' skill at recognizing patterns in EEG recordings, using an adaptive testing-and-learning methodology. Developed by the Westover Lab at Stanford University School of Medicine and sponsored by the Clinical Data Animation Center (CDAC)."
type: software
authors:
- family-names: Keldsen
given-names: Elijah W.
affiliation: "Westover Lab, Stanford University School of Medicine"
# orcid: "https://orcid.org/0000-0000-0000-0000" # TODO
- family-names: Westover
given-names: M. Brandon
affiliation: "Stanford University School of Medicine"
# orcid: "https://orcid.org/0000-0000-0000-0000" # TODO
version: "1.0.0-rc1"
date-released: "2026-06-18"
url: "https://app.cortexeeg.org"
repository-code: "https://github.com/bdsp-core/ilae-skill-certification-test-multi"
keywords:
- EEG
- electroencephalography
- skill assessment
- certification
- adaptive testing
- medical education
# license: "TODO" # non-commercial + attribution; to be finalized with Stanford OTL
# ── Forthcoming peer-reviewed methodology paper ──────────────────────────────
# Uncomment and complete on publication (NEJM AI / Nature Medicine):
# preferred-citation:
# type: article
# title: "TODO: article title"
# authors:
# - family-names: Keldsen
# given-names: Elijah W.
# - family-names: Westover
# given-names: M. Brandon
# journal: "TODO: journal name"
# year: 2026
# doi: "TODO: 10.xxxx/xxxxx"