| Scalable scanning and automatic classification of {TLS} padding oracle vulnerabilities R Merget, J Somorovsky, N Aviram, C Young, J Fliegenschmidt, ... 28th USENIX Security Symposium (USENIX Security 19), 1029-1046, 2019 | 33 | 2019 |
| Machine learning–based prediction models for different clinical risks in different hospitals: evaluation of live performance H Sun, K Depraetere, L Meesseman, P Cabanillas Silva, R Szymanowsky, ... Journal of Medical Internet Research 24 (6), e34295, 2022 | 14 | 2022 |
| Artificial intelligence predicts delirium following cardiac surgery: A case study J Fliegenschmidt, N Hulde, MG Preising, S Ruggeri, R Szymanowski, ... Journal of Clinical Anesthesia 75, 110473, 2021 | 9 | 2021 |
| Structured patient handover in high-risk areas: Evidence and recommendations for the practical implementation J Fliegenschmidt, MJ Merkel, V von Dossow, B Zwißler Die Anaesthesiologie 72 (3), 183-188, 2023 | 2 | 2023 |
| Strukturierte Patientenübergabe in Hochrisikobereichen J Fliegenschmidt, MJ Merkel, V von Dossow, B Zwißler Die Anaesthesiologie 72 (3), 183-188, 2023 | 1 | 2023 |
| Leveraging artificial intelligence for the management of postoperative delirium following cardiac surgery J Fliegenschmidt, N Hulde, MG Preising, S Ruggeri, R Szymanowsky, ... European Journal of Anaesthesiology and Intensive Care 2 (1), e0010, 2023 | | 2023 |
