| What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images T Rädsch, S Eckhardt, F Leiser, KD Pandl, S Thiebes, A Sunyaev | 12 | 2021 |
| From chatgpt to factgpt: A participatory design study to mitigate the effects of large language model hallucinations on users F Leiser, S Eckhardt, M Knaeble, A Maedche, G Schwabe, A Sunyaev Proceedings of Mensch und Computer 2023, 81-90, 2023 | 10 | 2023 |
| Reward Systems for Trustworthy Medical Federated Learning KD Pandl, F Leiser, S Thiebes, A Sunyaev arXiv preprint arXiv:2205.00470, 2022 | 3 | 2022 |
| Explainable artificial intelligence for omics data: a systematic mapping study PA Toussaint, F Leiser, S Thiebes, M Schlesner, B Brors, A Sunyaev Briefings in Bioinformatics 25 (1), bbad453, 2024 | 2 | 2024 |
| NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study MP Schapranow, M Bayat, A Rasheed, M Naik, V Graf, D Schmidt, ... JMIR Research Protocols 12 (1), e48892, 2023 | 1 | 2023 |
| Understanding the Role of Expert Intuition in Medical Image Annotation: A Cognitive Task Analysis Approach F Leiser, S Warsinsky, M Daum, M Schmidt-Kraepelin, S Thiebes, ... | 1 | 2023 |
| HILL: A Hallucination Identifier for Large Language Models F Leiser, S Eckhardt, V Leuthe, M Knaeble, A Maedche, G Schwabe, ... arXiv preprint arXiv:2403.06710, 2024 | | 2024 |
| Inter-Organizational Collaboration for Machine Learning: Motivating and Discouraging Factors in the Automotive Industry S Rank, F Leiser, S Thiebes, A Sunyaev | | 2024 |
| Informed machine learning for cardiomegaly detection in chest X-rays: a comparative study F Hasse, F Leiser, A Sunyaev Proceedings of the 21st IEEE International Symposium on Biomedical Imaging …, 2024 | | 2024 |
| Medical informed machine learning: A scoping review and future research directions F Leiser, S Rank, M Schmidt-Kraepelin, S Thiebes, A Sunyaev Artificial Intelligence in Medicine 145, 102676, 2023 | | 2023 |
| How Experts Rely on Intuition in Medical Image Annotation–A Study Proposal F Leiser, SL Warsinsky, M Schmidt-Kraepelin, S Thiebes, A Sunyaev Proceedings NeuroIS Retreat 2023 Vienna, Austria| May 30-June 1. Ed.: F …, 2023 | | 2023 |
| Applying Random Forests in Federated Learning: A Synthesis of Aggregation Techniques M Bodynek, F Leiser, S Thiebes, A Sunyaev | | 2023 |
Ali SunyaevKarlsruhe Institute of Technology (KIT)Bestätigte E-Mail-Adresse bei kit.edu
