Max Delbrück Center

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 821 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 374 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 165 Zit.

Bringing MRI to low‐ and middle‐income countries: Directions, challenges and potential solutions

Sanjana Murali, Hao Ding, Fope Adedeji et al.

2023 · 124 Zit.

Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis

Farieda Gaber, Maqsood Shaik, Fabio Allega et al.

2025 · 76 Zit.

Artificial intelligence extension of the OSCAR‐IB criteria

Axel Petzold, Philipp Albrecht, Laura J. Balcer et al.

2021 · 49 Zit.

Open Source Medical Devices for Innovation, Education and Global Health: Case Study of Open Source Magnetic Resonance Imaging

Lukas Winter, Rubén Pellicer-Guridi, Lionel Broche et al.

2018 · 13 Zit.

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

Jason Fries, Leon Weber, Natasha Seelam et al.

2022 · 12 Zit.

Evaluating large language model workflows in clinical decision support: referral, triage, and diagnosis

Farieda Gaber, Maqsood Shaik, Vedran Franke et al.

2024 · 2 Zit.

Deep learning for prediction of population health costs

Philipp Drewe-Boß, Dirk Enders, Jochen Walker et al.

2022 · 2 Zit.

Additional file 3 of A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback

Hadler, Thomas, Grassow, Leonhard, Kuhnt, Johanna et al.

2025 · 0 Zit.

Additional file 5 of A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback

Hadler, Thomas, Grassow, Leonhard, Kuhnt, Johanna et al.

2025 · 0 Zit.

Content-based image retrieval assists radiologists in diagnosing eye and orbital mass lesions in MRI

Josef Lorenz Rumberger, Winna Lim, Benjamin Wildfeuer et al.

2024 · 0 Zit.

Additional file 1 of A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback

Hadler, Thomas, Grassow, Leonhard, Kuhnt, Johanna et al.

2025 · 0 Zit.

Additional file 5 of A semi-automated quality assurance tool for cardiovascular magnetic resonance imaging: application to outlier detection, artificial intelligence evaluation and trainee feedback

Hadler, Thomas, Grassow, Leonhard, Kuhnt, Johanna et al.

2025 · 0 Zit.