Wojciech Samek

Artificial Intelligence in Dentistry: Chances and Challenges

2020 · 1.146 Zit. · Journal of Dental Research

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 · 432 Zit. · Information Fusion

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

2021 · 206 Zit. · Information Fusion

Towards Trustworthy AI in Dentistry

2022 · 52 Zit. · Journal of Dental Research

Federated Learning in Dentistry: Chances and Challenges

2022 · 51 Zit. · Journal of Dental Research

Machine Learning for Health: Algorithm Auditing & Quality Control

2021 · 46 Zit. · Journal of Medical Systems

Explainability can foster trust in artificial intelligence in geoscience

2025 · 26 Zit. · Nature Geoscience

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

2023 · 18 Zit. · Lecture notes in computer science

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

2023 · 14 Zit. · arXiv (Cornell University)

Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data

2025 · 4 Zit. · ArXiv.org

Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models

2023 · 2 Zit. · arXiv (Cornell University)

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection

2025 · 2 Zit. · Scientific Reports

Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics

2025 · 1 Zit.

Künstliche Intelligenz auf dem Prüfstand: Anforderungen, Qualitätskriterien und Prüfwerkzeuge für medizinische Anwendungen

2025 · 0 Zit. · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz