University Medical Center Hamburg-Eppendorf
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 819 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 369 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 317 Zit.
Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study
Anindo Saha, Joeran Sander Bosma, Jasper J. Twilt et al.
2024 · 247 Zit.
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Alessandro Repici, Marco Spadaccini, Giulio Antonelli et al.
2021 · 222 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 163 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 137 Zit.
Toward Explainable Artificial Intelligence for Precision Pathology
Frederick Klauschen, Jonas Dippel, Philipp Keyl et al.
2023 · 113 Zit.
Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review
Alissa Brauneck, Louisa Schmalhorst, Mohammad Mahdi Kazemi Majdabadi et al.
2023 · 99 Zit.
Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4
Martin Krusche, Johanna Callhoff, Johannes Knitza et al.
2023 · 98 Zit.
A framework for advancing sustainable magnetic resonance imaging access in Africa
Udunna Anazodo, Jinggang J. Ng, Boaz Ehiogu et al.
2022 · 94 Zit.
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha et al.
2023 · 79 Zit.
Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation
Ivo M. Baltruschat, Leonhard Steinmeister, Hannes Nickisch et al.
2020 · 75 Zit.
A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock et al.
2024 · 67 Zit.
Applications of artificial intelligence for patients with peripheral artery disease
Fabien Lareyre, Christian‐Alexander Behrendt, Arindam Chaudhuri et al.
2022 · 64 Zit.