Nicola Rieke

Medicine · Health Sciences

21h-index2.8kcitations46works83.02yr avg
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Research Topics

Artificial Intelligence in Healthcare and Education(13), Radiomics and Machine Learning in Medical Imaging(11), Surgical Simulation and Training(7), Medical Image Segmentation Techniques(6), Privacy-Preserving Technologies in Data(6)

Publications46 total

Current validation practice undermines surgical AI development
arXiv (Cornell University)·2025· 1 citedOpen Access
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
arXiv (Cornell University)·2025· 1 citedOpen Access
Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
arXiv (Cornell University)·2024Open Access
Metrics reloaded: recommendations for image analysis validation
Nature Methods·2024· 335 citedOpen Access
Understanding metric-related pitfalls in image analysis validation
Nature Methods·2024· 152 citedOpen Access
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
Lecture notes in computer science·2024· 9 citedOpen Access
Domain Adaptation and Representation Transfer
Lecture notes in computer science·2023· 3 cited
MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
Journal of Chemical Information and Modeling·2023· 94 citedOpen Access
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
arXiv (Cornell University)·2023· 38 citedOpen Access
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models
IEEE Transactions on Medical Imaging·2023· 1 citedOpen Access
Understanding metric-related pitfalls in image analysis validation
arXiv (Cornell University)·2023· 20 citedOpen Access
NVIDIA FLARE: Federated Learning from Simulation to Real-World
arXiv (Cornell University)·2022· 55 citedOpen Access
MELLODDY: cross pharma federated learning at unprecedented scale unlocks benefits in QSAR without compromising proprietary information
2022· 24 citedOpen Access
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
Medical Image Analysis·2022· 6 citedOpen Access
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
Medical Image Analysis·2022· 64 citedOpen Access
Metrics reloaded: Recommendations for image analysis validation
Edinburgh Research Explorer (University of Edinburgh)·2022· 62 citedOpen Access
Domain Adaptation and Representation Transfer
Lecture notes in computer science·2022· 4 cited
Federated learning for predicting clinical outcomes in patients with COVID-19
Nature Medicine·2021· 652 citedOpen Access
Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge
2021· 40 citedOpen Access
Common Limitations of Image Processing Metrics: A Picture Story
arXiv (Cornell University)·2021· 87 citedOpen Access
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Frequent Co-authors

M. Jorge Cardoso(17), Nassir Navab(16), Klaus Maier‐Hein(11), Annika Reinke(10), Minu D. Tizabi(10), Abouzar Eslami(10), Federico Tombari(10), Daguang Xu(9), Lena Maier‐Hein(9), Ben Glocker(9), Carole H. Sudre(9), Michela Antonelli(9), Spyridon Bakas(9), Annette Kopp‐Schneider(9), Sotirios A. Tsaftaris(9), Paul F. Jäger(9), Evangelia Christodoulou(8), Fabian Isensee(8), Veronika Cheplygina(8), Holger R. Roth(7)