Lena Maier‐Hein

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.438 Zit. · BMJ

The Medical Segmentation Decathlon

2022 · 1.105 Zit. · Nature Communications

Surgical data science for next-generation interventions

2017 · 505 Zit. · Nature Biomedical Engineering

MONAI: An open-source framework for deep learning in healthcare

2022 · 425 Zit. · arXiv (Cornell University)

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

2023 · 376 Zit. · Insights into Imaging

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

2018 · 343 Zit. · Nature Communications

Metrics reloaded: recommendations for image analysis validation

2024 · 338 Zit. · Nature Methods

Surgical data science – from concepts toward clinical translation

2022 · 311 Zit. · univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg)

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 179 Zit. · BMJ

Understanding metric-related pitfalls in image analysis validation

2024 · 154 Zit. · Nature Methods

BIAS: Transparent reporting of biomedical image analysis challenges

2020 · 120 Zit. · Veřejné služby Informačního systému (Masarykiana Brunensis Universitas)

A Delphi consensus statement for digital surgery

2022 · 76 Zit. · npj Digital Medicine

Labelling instructions matter in biomedical image analysis

2023 · 75 Zit. · Nature Machine Intelligence

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

2021 · 68 Zit. · European Urology Focus

Metrics reloaded: Recommendations for image analysis validation

2022 · 62 Zit. · arXiv (Cornell University)