DeepLearningInteractiveVis/CITATION.cff at demo · martindyrba/DeepLearningInteractiveVis · GitHub

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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: DeepLearningInteractiveVis
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Martin
    family-names: Dyrba
    email: martin.dyrba@dzne.de
    affiliation: German Center for Neurodegenerative Diseases (DZNE)
    orcid: 'https://orcid.org/0000-0002-3353-3167'
identifiers:
  - type: doi
    value: 10.1186/s13195-021-00924-2
    description: >-
      journal article: Dyrba et al. (2021) Improving 3D
      convolutional neural network comprehensibility via
      interactive visualization of relevance maps:
      evaluation in Alzheimer’s disease. Alzheimer's
      Research & Therapy 13
repository-code: 'https://github.com/martindyrba/DeepLearningInteractiveVis'
url: 'https://explaination.net'
repository-artifact: 'https://hub.docker.com/r/martindyrba/interactivevis'
abstract: >-
  This project provides a software framework and all source
  code to learn a 3D convolutional neural network model for
  disease detection (e.g. Alzheimer's disease) and for
  visualization of contributing image regions with high
  relevance.


  Further details on the procedures including samples, image
  processing, neural network modeling, evaluation, and
  validation were published in:

  Dyrba et al. (2021) Improving 3D convolutional neural
  network comprehensibility via interactive visualization of
  relevance maps: evaluation in Alzheimer’s disease.
  Alzheimer's research & therapy 13. DOI:
  10.1186/s13195-021-00924-2.
license: MIT
commit: d0e8e9815ec1e5096ff9706f9bde14634afc0ac2
version: v1.3.3
date-released: '2021-11-05'