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Michaela Kargl

Showing results (1-10 of 8) with videos related to

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Yearbook of Medical Informatics|December 4, 2022
A Literature Review on Ethics for AI in Biomedical Research and BiobankingMichaela Kargl, Markus Plass, Heimo Müller
IEEE Computer Graphics and Applications|August 18, 2022
Understanding and Explaining Diagnostic Paths: Toward Augmented Decision MakingMarkus Plass, Michaela Kargl, Patrick Nitsche, et al.
The Journal of Pathology. Clinical Research|April 12, 2023
Explainability and causability in digital pathologyMarkus Plass, Michaela Kargl, Tim-Rasmus Kiehl, et al.
Histopathology|February 17, 2025
Comparative performance of PD-L1 scoring by pathologists and AI algorithmsMarkus Plass, Gheorghe-Emilian Olteanu, Sanja Dacic, et al.
Frontiers in Digital Health|November 3, 2025
An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototypeRutger van Mierlo, Wenjie Liang, Kerli Norak, et al.
Artificial Intelligence in Medicine|January 29, 2026
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathologyGernot Fiala, Markus Plass, Robert Harb, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 10, 2022
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathologyAndré Homeyer, Christian Geißler, Lars Ole Schwen, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 23, 2022
Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathologyAndré Homeyer, Christian Geißler, Lars Ole Schwen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Yearbook of Medical Informatics|December 4, 2022
A Literature Review on Ethics for AI in Biomedical Research and BiobankingMichaela Kargl, Markus Plass, Heimo Müller
IEEE Computer Graphics and Applications|August 18, 2022
Understanding and Explaining Diagnostic Paths: Toward Augmented Decision MakingMarkus Plass, Michaela Kargl, Patrick Nitsche, et al.
The Journal of Pathology. Clinical Research|April 12, 2023
Explainability and causability in digital pathologyMarkus Plass, Michaela Kargl, Tim-Rasmus Kiehl, et al.
Histopathology|February 17, 2025
Comparative performance of PD-L1 scoring by pathologists and AI algorithmsMarkus Plass, Gheorghe-Emilian Olteanu, Sanja Dacic, et al.
Frontiers in Digital Health|November 3, 2025
An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototypeRutger van Mierlo, Wenjie Liang, Kerli Norak, et al.
Artificial Intelligence in Medicine|January 29, 2026
From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathologyGernot Fiala, Markus Plass, Robert Harb, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 10, 2022
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathologyAndré Homeyer, Christian Geißler, Lars Ole Schwen, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|September 23, 2022
Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathologyAndré Homeyer, Christian Geißler, Lars Ole Schwen, et al.
Pageof 1