Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images

• Mehdi Ounissi ,

  Contributed equally to this work with: Mehdi Ounissi, Ilias Sarbout

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: mehdi.ounissi.ia@gmail.com

  Affiliation Sorbonne Université; CNRS; Inserm; Inria; Paris Brain Institute – ICM; AP-HP, Paris, France

  https://orcid.org/0000-0003-0655-8112

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• Ilias Sarbout ,

  Contributed equally to this work with: Mehdi Ounissi, Ilias Sarbout

  Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Sorbonne Université; CNRS; Inserm; Inria; Paris Brain Institute – ICM; AP-HP, Paris, France

  https://orcid.org/0009-0003-4437-7897

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• Jean-Pierre Hugot,

  Roles Conceptualization, Methodology, Resources, Supervision, Writing – review & editing

  Affiliation Paris Cité University; AP-HP; Centre de Recherche sur l’inflammation, Paris, France

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• Christine Martinez-Vinson,

  Roles Data curation, Investigation, Supervision, Writing – review & editing

  Affiliation AP-HP; Robert Debré University Hospitals; Centre de Recherche sur l’inflammation, Paris, France

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• Dominique Berrebi,

  Roles Conceptualization, Data curation, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliation Paris Cité University; Inserm; AP-HP; Necker-Enfants Malades University Hospitals; Anatomopathology Department; Centre de recherche sur l’inflammation, Paris, France

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• Daniel Racoceanu

  Roles Conceptualization, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliation Sorbonne Université; CNRS; Inserm; Inria; Paris Brain Institute – ICM; AP-HP, Paris, France

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