foundation_PLR/CITATION.cff at main · petteriTeikari/foundation_PLR · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
type: software
title: "Foundation Models for Pupillary Light Reflex (PLR) Preprocessing"
abstract: >-
  Benchmark comparing time series foundation models (MOMENT, UniTS, TimesNet)
  against traditional methods (LOF, SVM, linear interpolation) for outlier
  detection and imputation in pupillary light reflex signals for glaucoma
  screening. Implements STRATOS-compliant evaluation metrics including
  discrimination, calibration, and clinical utility measures.
authors:
  - family-names: Teikari
    given-names: Petteri
    email: petteri.teikari@gmail.com
    affiliation: Independent Researcher
repository-code: "https://github.com/petteriTeikari/foundation_PLR"
url: "https://github.com/petteriTeikari/foundation_PLR"
license: MIT
version: "1.0.0"
date-released: "2026-01-01"
keywords:
  - time-series
  - foundation-models
  - pupillometry
  - pupillary-light-reflex
  - glaucoma-screening
  - biosignal-preprocessing
  - machine-learning
  - catboost
  - moment
  - timesnet
  - units
  - stratos
  - clinical-ai
  - ophthalmology
  - mlflow
  - hydra
  - prefect
references:
  - type: article
    authors:
      - family-names: Najjar
        given-names: Raymond P.
    title: "Handheld chromatic pupillometry can accurately and rapidly reveal functional loss in glaucoma"
    journal: "British Journal of Ophthalmology"
    year: 2023
    volume: 107
    start: 663
    end: 670
    doi: "10.1136/bjophthalmol-2021-319938"