Deutschen Konsortium für Translationale Krebsforschung
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
End-to-end privacy preserving deep learning on multi-institutional medical imaging
Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach et al.
2021 · 433 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 342 Zit.
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe et al.
2022 · 238 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Joint Imaging Platform for Federated Clinical Data Analytics
Jonas Scherer, Marco Nolden, Jens Kleesiek et al.
2020 · 70 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 · 61 Zit.
Reconciling privacy and accuracy in AI for medical imaging
Alexander Ziller, Tamara T. Mueller, Simon Stieger et al.
2024 · 53 Zit.
The role of artificial intelligence in radiotherapy clinical practice
Guillaume Landry, Christopher Kurz, Alberto Traverso
2023 · 34 Zit.
Feature Robustness and Diagnostic Capabilities of Convolutional Neural Networks Against Radiomics Features in Computed Tomography Imaging
Sebastian Ziegelmayer, Stefan Reischl, F Harder et al.
2021 · 26 Zit.
ChatGPT's Gastrointestinal Tumor Board Tango: A limping dance partner?
Ughur Aghamaliyev, Javad Karimbayli, Clemens Gießen-Jung et al.
2024 · 23 Zit.
Virtual Biopsy: Just an AI Software or a Medical Procedure?
Jacob M. Murray, Bodo Wiegand, Boris Hadaschik et al.
2022 · 22 Zit.
Explainable artificial intelligence of DNA methylation-based brain tumor diagnostics
Salvatore Benfatto, Martin Sill, David Jones et al.
2025 · 20 Zit.
Wie funktioniert maschinelles Lernen?
Jens Kleesiek, Jacob M. Murray, Christian Strack et al.
2019 · 20 Zit.
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
Felix J. Dorfner, Amin Dada, Felix Busch et al.
2025 · 20 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2023 · 20 Zit.