Michaela Kargl

The explainability paradox: Challenges for xAI in digital pathology

2022 · 134 Zit. · Future Generation Computer Systems

Explainability and causability in digital pathology

2023 · 85 Zit. · The Journal of Pathology Clinical Research

Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

2022 · 65 Zit. · Modern Pathology

A Literature Review on Ethics for AI in Biomedical Research and Biobanking

2022 · 34 Zit. · Yearbook of Medical Informatics

Towards a Better Understanding of the Workflows: Modeling Pathology Processes in View of Future AI Integration

2020 · 10 Zit. · Lecture notes in computer science

Towards a Taxonomy for Explainable AI in Computational Pathology

2021 · 8 Zit.

Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology

2022 · 2 Zit. · Modern Pathology

Human-AI Interfaces are a Central Component of Trustworthy AI

2022 · 2 Zit. · Intelligent systems reference library

An AI-powered data curation and publishing virtual assistant: usability and explainability/causability of, and patient interest in the first-generation prototype

2025 · 1 Zit. · Frontiers in Digital Health

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology

2026 · 0 Zit. · Artificial Intelligence in Medicine