Markus D. Herrmann

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

2023 · 100 Zit. · EBioMedicine

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

2023 · 32 Zit. · Radiographics

Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists

2023 · 31 Zit. · Archives of Pathology & Laboratory Medicine

Integrating the Health-care Enterprise Pathology and Laboratory Medicine Guideline for Digital Pathology Interoperability

2021 · 24 Zit. · Journal of Pathology Informatics

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology

2022 · 22 Zit. · Journal of Digital Imaging

The future of computational pathology: expectations regarding the anticipated role of artificial intelligence in pathology by 2030

2022 · 3 Zit. · medRxiv

Technische, operative und regulatorische Aspekte für die Nutzung der digitalen und rechnergestützten Pathologie

2020 · 2 Zit. · Der Pathologe

How does AI perform compared to human expert panels in medical Delphi studies? A pilot study through the lens of pathology

2026 · 0 Zit. · Journal of Pathology Informatics