Benjamin Weigell, Fabian Stieler and Bernhard Bauer. in press. All you need is an AI platform: a proposal for a complete reference architecture. CAIN 2025 — 4th International Conference on AI Engineering – Software Engineering for AI, April 27-28th, 2025, Ottawa, Canada IEEE & ACM
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Paula Ziethmann, Fabian Stieler, Miriam Elia, Bernhard Bauer and Kerstin Schlögl-Flierl. 2025. CDSS – an interdisciplinary perspective on the statement of the central ethics commission of the German Medical Association [Abstract]. The Royal College of Radiologists Open 3, 100163. DOI: 10.1016/j.rcro.2024.100163
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Paula Ziethmann, Miriam Elia, Fabian Stieler, Bernhard Bauer, Julia Welzel and Kerstin Schlögl-Flierl. 2025. Clinical decision support systems at the intersection of technology and ethics: a critical analysis of the ethical guidelines issued by the German Medical Association. Digital Society 4, 15. DOI: 10.1007/s44206-025-00175-w
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Fabian Stieler. 2025. The role of active learning in developing trustworthy AI - Approaches for enhancing transparency and explainability in processes and systems.
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Vivian Grünherz, Alanna Ebigbo, Miriam Elia, Alessandra Brunner, Tamara Krafft, Leo Pöller, Pia Schneider, Fabian Stieler, Bernhard Bauer, Anna Muzalyova, Helmut Messmann and Sandra Nagl. 2024. Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes. BMJ Open Gastroenterology 11, 1, e001396. DOI: 10.1136/bmjgast-2024-001396
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Fabian Stieler and Bernhard Bauer. 2024. Enhancing collaboration and agility in data-centric AI projects. In Hermann Kaindl, Mike Mannion, Leszek A. Maciaszek (Eds.). Evaluation of Novel Approaches to Software Engineering: 18th International Conference, ENASE 2023, Prague, Czech Republic, April 24–25, 2023, revised selected papers. Springer, Cham, 321-343 DOI: 10.1007/978-3-031-64182-4_15
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Paula Ziethmann, Fabian Stieler, Raphael Pfrommer, Kerstin Schlögl-Flierl and Bernhard Bauer. 2024. Towards a framework for interdisciplinary studies in explainable artificial intelligence. Helmut Degen, Stavroula Ntoa (Hg.): Artificial Intelligence in HCI: 5th International Conference, AI-HCI 2024, held as part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, proceedings, part I 316-333. Springer, Cham DOI: 10.1007/978-3-031-60606-9_18
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Miriam Elia, Fabian Stieler, Fabian Ripke, Marius Nann, Sarah Dopfer and Bernhard Bauer. 2024. Towards certifiable AI in medicine: illustrated for multi-label ECG classification performance metrics. José Antonio Iglesias, Rashmi Dutta Baruah, Araceli Sanchis, Mario Muñoz Organero, Dimitry Kangin, Paulo Vitor De Campos Souza (Hg.): 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 23-24 May 2024, Madrid, Spain 1-8. IEEE, Piscataway, NJ DOI: 10.1109/eais58494.2024.10570023
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Fabian Stieler and Bernhard Bauer. 2023. Git workflow for active learning - a development methodology proposal for data-centric AI projects. Hermann Kaindl, Mike Mannion, Leszek Maciaszek (Hg.): Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023), April 24-25, 2023, in Prague, Czech Republic 202-213. SciTePress, Setúbal DOI: 10.5220/0011988400003464
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Fabian Stieler, Miriam Elia, Benjamin Weigell, Bernhard Bauer, Peter Kienle, Anton Roth, Gregor Müllegger, Marius Nann and Sarah Dopfer. 2023. LIFEDATA - a framework for traceable active learning projects. Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff (Hg.): 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW), 4-5 September 2023, Hannover, Germany 465-474. IEEE, Piscataway, NJ DOI: 10.1109/REW57809.2023.00088
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Miriam Elia, Tobias Peter, Fabian Stieler, Bernhard Bauer, Sandra Nagl, Alanna Ebigbo and Vivien Grünherz. 2023. Precision medicine for achalasia diagnosis: a multi-modal and interdisciplinary approach for training data generation [Abstract]. IEEE - ISBI 2023: International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, April 18-21, 2023
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Fabian Stieler, Marius Nann and Bernhard Bauer. 2022. Vertrauenswürdige KI in der Medizin - von effizienter Datenannotation bis intuitiver Modellerklärung. KI-Fabrigk @WIKOIN22, Ingolstadt, 30. Juni 2022
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Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2021. Towards domain-specific explainable AI: model interpretation of a skin image classifier using a human approach. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021, 19-25 June 2021, Nashville, TN, USA 1802-1809. IEEE, Piscataway, NJ DOI: 10.1109/CVPRW53098.2021.00199
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Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2020. Federated medical data - how much can deep learning models benefit? [Poster]. AMIA 2020 Virtual Clinical Informatics Converence, May 19-21
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Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2018. Patterns of interest in industrial brands: Instagram media uploads and sentiment. Len Tashman, Fotios Petropoulos (Hg.): International Symposium on Forecasting (ISF) 2018, Boulder (CO), USA, June 16-20, 2018 International Institute of Forecasters
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Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2018. The 2016 US presidential election and media on Instagram: who was in the lead?. Computers in Human Behavior 81, 148-160. DOI: 10.1016/j.chb.2017.11.021
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Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2017. Patterns of interest in industrial brands: media uploads to Instagram. 23rd IIF Workshop on Predictive Analytics and Forecasting (IIF 2017) - Research and Applications, Munich, Germany, September 14-15, 2017 International Institute of Forecasters
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