Nicola Rieke
Publications by Year
Research Areas
Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, Surgical Simulation and Training, Medical Image Segmentation Techniques, Privacy-Preserving Technologies in Data
Most-Cited Works
- → Federated learning for predicting clinical outcomes in patients with COVID-19(2021)664 cited
- → Privacy-Preserving Federated Brain Tumour Segmentation(2019)501 cited
- → Metrics reloaded: recommendations for image analysis validation(2024)351 cited
- → Understanding metric-related pitfalls in image analysis validation(2024)156 cited
- → Concurrent Segmentation and Localization for Tracking of Surgical Instruments(2017)145 cited
- → MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information(2023)99 cited
- → Common Limitations of Image Processing Metrics: A Picture Story(2021)87 cited
- → Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data(2019)72 cited
- → Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge(2022)66 cited