Matthias Eisenmann
German Cancer Research Center(DE)Heidelberg University(DE)
Publications by Year
Research Areas
Artificial Intelligence in Healthcare and Education, Radiomics and Machine Learning in Medical Imaging, Surgical Simulation and Training, Biomedical and Engineering Education, Advanced Neural Network Applications
Most-Cited Works
- → Surgical data science for next-generation interventions(2017)506 cited
- → Metrics reloaded: recommendations for image analysis validation(2024)351 cited
- → Why rankings of biomedical image analysis competitions should be interpreted with care(2018)349 cited
- Surgical data science – from concepts toward clinical translation(2022)
- → Understanding metric-related pitfalls in image analysis validation(2024)156 cited
- → Common Limitations of Image Processing Metrics: A Picture Story(2021)87 cited
- → A Delphi consensus statement for digital surgery(2022)79 cited
- → Large-scale medical image annotation with crowd-powered algorithms(2018)59 cited