Emma Bluemke
Publications by Year
Research Areas
Mass Spectrometry Techniques and Applications, Ethics and Social Impacts of AI, Advanced MRI Techniques and Applications, Metabolomics and Mass Spectrometry Studies, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims(2020)212 cited
- → PySyft: A Library for Easy Federated Learning(2021)197 cited
- → Learning patterns of the ageing brain in MRI using deep convolutional networks(2020)137 cited
- → Rapid Detection of Necrosis in Breast Cancer with Desorption Electrospray Ionization Mass Spectrometry(2016)76 cited
- → Challenges for machine learning in clinical translation of big data imaging studies(2022)57 cited
- → Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues(2017)50 cited
- → Wide-field tissue polarimetry allows efficient localized mass spectrometry imaging of biological tissues(2015)49 cited
- → Visibility into AI Agents(2024)42 cited
- → An Assessment of the Utility of Tissue Smears in Rapid Cancer Profiling with Desorption Electrospray Ionization Mass Spectrometry (DESI-MS)(2016)27 cited