# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "hyperannotatR" in publications use:'
type: software
license: MIT
title: 'hyperannotatR: Region-of-Interest Annotation for Hyperspectral Data'
version: 0.3.1
abstract: Annotate multiple layers of regions of interest in hyperspectral data cubes
  and their associated display rasters. Annotations are stored as validated simple-feature
  geometries in image pixel coordinates with explicit pyramid-level transforms, and
  can be rasterised to binary, labelled, or multi-class integer masks for downstream
  segmentation and classification workflows. A batch annotation application built
  on 'shiny' supports resumable sessions across image queues, live mask preview, and
  export to 'GeoJSON', 'QuPath', and 'TIFF' formats. A versioned partner contract
  exchanges hash-inventoried handoff directories, deep-learning training datasets
  and typed commands over an optional local control service.
authors:
- family-names: Heller
  given-names: Raban
  email: raban.heller@charite.de
  orcid: https://orcid.org/0000-0001-8006-9742
repository: https://cttir.r-universe.dev
repository-code: https://github.com/CTTIR/hyperannotatR
commit: 2ac2309744e39420cb0aa16326af68c1ada0b080
url: https://cttir.github.io/hyperannotatR/
date-released: '2026-11-03'
contact:
- family-names: Heller
  given-names: Raban
  email: raban.heller@charite.de
  orcid: https://orcid.org/0000-0001-8006-9742