German Cancer Research Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li et al.
2020 · 2.391 Zit.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.
2024 · 1.798 Zit.
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.162 Zit.
Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.
2021 · 821 Zit.
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 515 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 · 402 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 374 Zit.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.
2018 · 359 Zit.
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.
2022 · 320 Zit.
Benefits and challenges of Big Data in healthcare: an overview of the European initiatives
Roberta Pastorino, Corrado De Vito, Giuseppe Migliara et al.
2019 · 306 Zit.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.
2025 · 286 Zit.
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 284 Zit.
Leveraging Large Language Models for Decision Support in Personalized Oncology
Manuela Benary, Xing David Wang, Max Schmidt et al.
2023 · 272 Zit.
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Qi Dou, Tiffany Y. So, Meirui Jiang et al.
2021 · 270 Zit.
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor et al.
2021 · 268 Zit.