Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology. - Birgit Pohn; Michaela Kargl; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller (ISCC, 2019)

Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration. - Michaela Kargl; Peter Regitnig; Heimo Müller; Andreas Holzinger (AI and ML for Digital Pathology, 2020)

Personas for Artificial Intelligence (AI) an Open Source Toolbox. - Andreas Holzinger; Michaela Kargl; Bettina Kipperer; Peter Regitnig; Markus Plass; Heimo Müller (IEEE Access, 2022)

Understanding and Explaining Diagnostic Paths: Toward Augmented Decision Making. - Markus Plass; Michaela Kargl; Patrick Nitsche; Emilian Jungwirth; Andreas Holzinger; Heimo Müller (IEEE Computer Graphics and Applications, 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

The explainability paradox: Challenges for xAI in digital pathology. - Theodore Evans; Carl Orge Retzlaff; Christian Geißler; Michaela Kargl; Markus Plass; Heimo Müller; Tim-Rasmus Kiehl; Norman Zerbe; Andreas Holzinger (Future Gener. Comput. Syst., 2022)