Fraunhofer Institute for Digital Medicine
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.154 Zit.
Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.
2017 · 512 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 363 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 161 Zit.
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.
2022 · 107 Zit.
Implementation of eHealth and AI integrated diagnostics with multidisciplinary digitized data: are we ready from an international perspective?
Mark Bukowski, Róbert Farkas, Oya Beyan et al.
2020 · 65 Zit.
Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology
André Homeyer, Christian Geißler, Lars Ole Schwen et al.
2022 · 63 Zit.
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi et al.
2022 · 63 Zit.
Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
Felix Busch, Lena Hoffmann, Lina Xu et al.
2025 · 41 Zit.
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization
Tianyu Han, Sven Nebelung, Federico Pedersoli et al.
2021 · 40 Zit.
Artificial Intelligence in Pathology: From Prototype to Product
André Homeyer, Johannes Lotz, Lars Ole Schwen et al.
2021 · 39 Zit.
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence
Andriy Fedorov, William J.R. Longabaugh, David Pot et al.
2023 · 32 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2023 · 20 Zit.
Physicians’ Attitudes Toward Artificial Intelligence in Medicine: Mixed Methods Survey and Interview Study
Helen Heinrichs, Alexander Kies, Saskia K. Nagel et al.
2025 · 19 Zit.
The vendor-agnostic EMPAIA platform for integrating AI applications into digital pathology infrastructures
Christoph Jansen, Björn Lindequist, Klaus Strohmenger et al.
2022 · 16 Zit.