Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets

• Dennis Eschweiler ,

  Roles Conceptualization, Data curation, Methodology, Software, Validation, Visualization, Writing – original draft

  * E-mail: dennis.eschweiler@lfb.rwth-aachen.de (DE); johannes.stegmaier@lfb.rwth-aachen.de (JS)

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

  https://orcid.org/0000-0003-1041-2810

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• Rüveyda Yilmaz,

  Roles Methodology, Software, Visualization, Writing – review & editing

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

  https://orcid.org/0009-0007-7351-698X

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• Matisse Baumann,

  Roles Software

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

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• Ina Laube,

  Roles Conceptualization

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

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• Rijo Roy,

  Roles Data curation, Writing – review & editing

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

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• Abin Jose,

  Roles Data curation, Writing – review & editing

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

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• Daniel Brückner,

  Roles Resources, Software, Supervision

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

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• Johannes Stegmaier

  Roles Funding acquisition, Project administration, Resources, Supervision, Writing – review & editing

  * E-mail: dennis.eschweiler@lfb.rwth-aachen.de (DE); johannes.stegmaier@lfb.rwth-aachen.de (JS)

  Affiliation RWTH Aachen University, Institute of Imaging and Computer Vision, Aachen, Germany

  https://orcid.org/0000-0003-4072-3759

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