Matthias Eisenmann
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Surgical data science for next-generation interventions
2017 · 507 Zit. · Nature Biomedical Engineering
Metrics reloaded: recommendations for image analysis validation
2024 · 351 Zit. · Nature Methods
Why rankings of biomedical image analysis competitions should be interpreted with care
2018 · 349 Zit. · Nature Communications
Surgical data science – from concepts toward clinical translation
2022 · 313 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 · 156 Zit. · Nature Methods
A Delphi consensus statement for digital surgery
2022 · 79 Zit. · npj Digital Medicine
Metrics reloaded: Recommendations for image analysis validation
2022 · 62 Zit. · arXiv (Cornell University)
Surgical data science – from concepts toward clinical translation
2021 · 39 Zit. · Medical Image Analysis
Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence
2021 · 20 Zit. · European Urology Focus
Understanding metric-related pitfalls in image analysis validation
2023 · 20 Zit. · arXiv (Cornell University)
Biomedical image analysis competitions: The state of current participation practice
2022 · 17 Zit. · arXiv (Cornell University)
Surgical Data Science: A Consensus Perspective
2018 · 9 Zit. · arXiv (Cornell University)
BIAS: Transparent reporting of biomedical image analysis challenges
2020 · 9 Zit. · Medical Image Analysis
Abstract: How to Generate Patient Benefit with Surgical Data Science
2022 · 0 Zit. · Informatik aktuell
Why is the winner the best
2023 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)