Peter Boor

Swarm Learning for decentralized and confidential clinical machine learning

2021 · 821 Zit. · Nature

Adversarial attacks and adversarial robustness in computational pathology

2022 · 109 Zit. · Nature Communications

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

2022 · 65 Zit. · Modern Pathology

The Aachen Protocol for Deep Learning Histopathology: A hands-on guide for data preprocessing

2020 · 29 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Artificial intelligence in nephropathology

2019 · 28 Zit. · Nature Reviews Nephrology

Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

2023 · 17 Zit. · Transplant International

Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative

2024 · 13 Zit. · Journal of Pathology Informatics

Ecologically sustainable benchmarking of AI models for histopathology

2024 · 11 Zit. · npj Digital Medicine

Deep learning applications in digital pathology

2024 · 10 Zit. · Nature Reviews Nephrology

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

2022 · 1 Zit. · Modern Pathology

A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer

2025 · 1 Zit. · Medical Image Analysis

Robust, credible, and interpretable AI-based histopathological prostate cancer grading

2024 · 1 Zit. · medRxiv

Ökologische Nachhaltigkeit von Deep Learning in der Pathologie

2024 · 0 Zit. · Die Pathologie

Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative

2023 · 0 Zit. · arXiv (Cornell University)