Radboud University Medical Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.123 Zit.
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar, Patrick Großmann, Johan Bussink et al.
2015 · 996 Zit.
Deep learning in histopathology: the path to the clinic
Jeroen van der Laak, Geert Litjens, Francesco Ciompi
2021 · 833 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 807 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.
2022 · 449 Zit.
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
Kicky G. van Leeuwen, Steven Schalekamp, Matthieu Rutten et al.
2021 · 408 Zit.
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
van der Laak J, Corrado GS, Allan R et al.
2022 · 390 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 351 Zit.
COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy, Henk Smits, Arnoud J.G. Knoops et al.
2020 · 226 Zit.
How does artificial intelligence in radiology improve efficiency and health outcomes?
Kicky G. van Leeuwen, Maarten de Rooij, Steven Schalekamp et al.
2021 · 219 Zit.
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.
2022 · 161 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 156 Zit.
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga et al.
2020 · 150 Zit.
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence
Nikolas Leßmann, Clara I. Sánchez, Ludo F.M. Beenen et al.
2020 · 144 Zit.
Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
Thomas P. A. Debray, Richard D Riley, Maroeska M. Rovers et al.
2015 · 125 Zit.