Goethe University Frankfurt
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
International consensus statement on the peri‐operative management of anaemia and iron deficiency
Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.
2016 · 810 Zit.
Automated Gleason grading of prostate cancer tissue microarrays via deep learning
Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al.
2018 · 420 Zit.
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.
2023 · 377 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 342 Zit.
Welcome to the Era of ChatGPT et al.
Timm Teubner, Christoph M. Flath, Christof Weinhardt et al.
2023 · 320 Zit.
Multimodal Patient Blood Management Program Based on a Three-pillar Strategy
Friederike C. Althoff, Holger Neb, Eva Herrmann et al.
2018 · 290 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 191 Zit.
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk et al.
2023 · 159 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Factors influencing plagiarism in higher education: A comparison of German and Slovene students
Eva Jereb, Matjaž Perc, Barbara Lämmlein et al.
2018 · 139 Zit.
Z-Inspection<sup>®</sup>: A Process to Assess Trustworthy AI
Roberto V. Zicari, John Brodersen, James Brusseau et al.
2021 · 111 Zit.
Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients
Jörn Lötsch, Dario Kringel, Alfred Ultsch
2021 · 103 Zit.
Risk Management in the Artificial Intelligence Act
Jonas Schuett
2023 · 89 Zit.
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, Michael Altenbuchinger, Bettina Baeßler et al.
2023 · 77 Zit.
Artificial Intelligence and Machine Learning in Radiology
Julian L. Wichmann, Martin J. Willemink, Carlo N. De Cecco
2020 · 77 Zit.