Annika Reinke

The Medical Segmentation Decathlon

2022 · 1.154 Zit. · Nature Communications

Metrics reloaded: recommendations for image analysis validation

2024 · 363 Zit. · Nature Methods

Why rankings of biomedical image analysis competitions should be interpreted with care

2018 · 356 Zit. · Nature Communications

Understanding metric-related pitfalls in image analysis validation

2024 · 161 Zit. · Nature Methods

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 122 Zit. · Veřejné služby Informačního systému (Masarykiana Brunensis Universitas)

Labelling instructions matter in biomedical image analysis

2023 · 77 Zit. · Nature Machine Intelligence

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)

The Federated Tumor Segmentation (FeTS) Challenge

2021 · 42 Zit. · arXiv (Cornell University)

Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence

2021 · 21 Zit. · European Urology Focus

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

Biomedical image analysis competitions: The state of current participation practice

2022 · 17 Zit. · arXiv (Cornell University)

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

2024 · 9 Zit. · Lecture notes in computer science

Radiomics workflow definition & challenges - German priority program 2177 consensus statement on clinically applied radiomics

2024 · 9 Zit. · Insights into Imaging

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 9 Zit. · Medical Image Analysis

Deployment of Image Analysis Algorithms Under Prevalence Shifts

2023 · 6 Zit. · Lecture notes in computer science