Michaela Kargl

According to our database, Michaela Kargl authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

CoRR, August, 2025

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

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, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe

CoRR, 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

Personas for Artificial Intelligence (AI) an Open Source Toolbox.

Andreas Holzinger, Michaela Kargl, Bettina Kipperer, Peter Regitnig, Markus Plass, Heimo Müller

IEEE Access, 2022

2020

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

2019

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

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019