Nicola Rieke

Federated learning for predicting clinical outcomes in patients with COVID-19

2021 · 657 Zit. · Nature Medicine

Privacy-Preserving Federated Brain Tumour Segmentation

2019 · 494 Zit. · Lecture notes in computer science

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

Federated Learning used for predicting outcomes in SARS-COV-2 patients

2021 · 44 Zit.

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

2023 · 38 Zit. · arXiv (Cornell University)

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

2021 · 21 Zit. · Lecture notes in computer science

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?

2024 · 9 Zit. · Lecture notes in computer science

Domain Adaptation and Representation Transfer

2022 · 4 Zit. · Lecture notes in computer science

Current validation practice undermines surgical AI development

2025 · 1 Zit. · ArXiv.org

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims

2025 · 1 Zit. · ArXiv.org

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models

2023 · 1 Zit. · IEEE Transactions on Medical Imaging

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

2024 · 0 Zit. · ArXiv.org