| Anomaly detections for manufacturing systems based on sensor data—insights into two challenging real-world production settings K Kammerer, B Hoppenstedt, R Pryss, S Stökler, J Allgaier, M Reichert Sensors 19 (24), 5370, 2019 | 56 | 2019 |
| Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI W Schlee, S Schoisswohl, S Staudinger, A Schiller, A Lehner, B Langguth, ... Progress in brain research 260, 441-451, 2021 | 43 | 2021 |
| Corona health—A study-and sensor-based mobile app platform exploring aspects of the COVID-19 pandemic F Beierle, J Schobel, C Vogel, J Allgaier, L Mulansky, F Haug, J Haug, ... International Journal of Environmental Research and Public Health 18 (14), 7395, 2021 | 27 | 2021 |
| How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare J Allgaier, L Mulansky, RL Draelos, R Pryss Artificial Intelligence in Medicine 143, 102616, 2023 | 19 | 2023 |
| Using big data to develop a clinical decision support system for tinnitus treatment W Schlee, B Langguth, R Pryss, J Allgaier, L Mulansky, C Vogel, ... The Behavioral Neuroscience of Tinnitus, 175-189, 2021 | 14 | 2021 |
| Deep learning end-to-end approach for the prediction of tinnitus based on EEG data J Allgaier, P Neff, W Schlee, S Schoisswohl, R Pryss 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
| Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform J Allgaier, W Schlee, B Langguth, T Probst, R Pryss Scientific Reports 11 (1), 18375, 2021 | 7 | 2021 |
| Prediction of tinnitus perception based on daily life mhealth data using country origin and season J Allgaier, W Schlee, T Probst, R Pryss Journal of Clinical Medicine 11 (15), 4270, 2022 | 4 | 2022 |
| Is PFS the right endpoint to assess outcome of maintenance studies in multiple myeloma? Results of a patient survey highlight quality-of-life as an equally important outcome … A Fleischer, L Heimeshoff, J Allgaier, K Jordan, G Gelbrich, R Pryss, ... Blood 138, 836, 2021 | 4 | 2021 |
| Self-Assessment of Having COVID-19 with the Corona Check mHealth App F Beierle, J Allgaier, C Stupp, T Keil, W Schlee, J Schobel, C Vogel, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 3 | 2023 |
| Image segmentation to locate ancient maya architectures using deep learning J Landauer, B Hoppenstedt, J Allgaier Discover the Mysteries of the Maya: Selected Contributions from the Machine …, 2022 | 2 | 2022 |
| Krebs und COVID-19–Eine App-basierte Studie zu Auswirkungen der Pandemie auf Krebspatienten C Wilhelm, K Radeloff, S Zeißig, R Pryss, J Allgaier, A Scherzad, ... Laryngo-Rhino-Otologie 103 (S 02), 2024 | | 2024 |
| Cancer and COVID-19–An app-based study on the effects of the pandemic on cancer patients C Wilhelm, K Radeloff, S Zeißig, R Pryss, J Allgaier, A Scherzad, ... Laryngo-Rhino-Otologie 103 (S 02), 2024 | | 2024 |
| Practical approaches in evaluating validation and biases of machine learning applied to mobile health studies J Allgaier, R Pryss Communications Medicine 4 (1), 76, 2024 | | 2024 |
| Machine Learning Explainability on Multi-Modal Data using Ecological Momentary Assessments in the Medical Domain J Allgaier Universität Würzburg, 2024 | | 2024 |
| A patient survey indicates quality of life and progression-free survival as equally important outcome measures in multiple myeloma clinical trials A Fleischer, L Zapf, J Allgaier, K Jordan, G Gelbrich, R Pryss, J Schobel, ... Journal of Cancer Research and Clinical Oncology 149 (14), 12897-12902, 2023 | | 2023 |
| Predicting the presence of tinnitus using ecological momentary assessments M Breitmayer, M Stach, R Kraft, J Allgaier, M Reichert, W Schlee, T Probst, ... Scientific Reports 13 (1), 8989, 2023 | | 2023 |
| Corona Health--A Study-and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic (preprint) F Beierle, J Schobel, C Vogel, J Allgaier, L Mulansky, F Haug, J Haug, ... | | 2021 |
| Machine learning under concept drift for industrial data using Python J Allgaier Institute of Databases and Informations Systems, 2019 | | 2019 |
| Physicians Using Machine Learning Predictions Observe Worse Performance than Reported E Ötleş, J Allgaier, K Singh | | |
Rüdiger PryssProfessor of Medical Informatics, IKE-B, University of WürzburgGeverifieerd e-mailadres voor uni-wuerzburg.de
