Minu D. Tizabi

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Surgical data science – from concepts toward clinical translation

2022 · 308 Zit. · univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg)

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

Labelling instructions matter in biomedical image analysis

2023 · 75 Zit. · Nature Machine Intelligence

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · IT University Of Copenhagen (IT University of Copenhagen)

Surgical data science – from concepts toward clinical translation

2021 · 39 Zit. · Medical Image Analysis

Understanding metric-related pitfalls in image analysis validation

2023 · 20 Zit. · arXiv (Cornell University)

Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence

2021 · 19 Zit. · European Urology Focus

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

Deployment of Image Analysis Algorithms Under Prevalence Shifts

2023 · 6 Zit. · Lecture notes in computer science

Labeling instructions matter in biomedical image analysis

2022 · 3 Zit. · arXiv (Cornell University)

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

Advancing standards in biomedical image analysis validation: A perspective on Metrics Reloaded

2025 · 0 Zit. · Clinical and Translational Medicine