| A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis BA Walker, K Mavrommatis, CP Wardell, TC Ashby, M Bauer, F Davies, ... Leukemia 33 (1), 159-170, 2019 | 473 | 2019 |
| 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 | 73 | 2019 |
| 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 | 70 | 2023 |
| 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 | 52 | 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 | 37 | 2021 |
| Cross-validation visualized: a narrative guide to advanced methods J Allgaier, R Pryss Machine Learning and Knowledge Extraction 6 (2), 1378-1388, 2024 | 28 | 2024 |
| 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 | 19 | 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 | 9 | 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 | 9 | 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 | 7 | 2022 |
| 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 27 (6), 2794-2805, 2023 | 6 | 2023 |
| 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 | 6 | 2021 |
| 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 | 5 | 2024 |
| 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 | 3 | 2023 |
| 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 | 2 | 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 |
| Physical health and ecological momentary assessments during COVID-19: Data from the ‘Corona Health’app users J Allgaier, F Eichner, S Störk, P Heuschmann, R Pryss Data in Brief 59, 111289, 2025 | | 2025 |
| 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 |
| Exploring Concepts for Pipeline-Driven Mobile Health Data Dashboards: Insights from Personal Projects and GitHub Contributions C Vogel, M Stach, J Allgaier, J Scheible, F Hofmann, R Pryss 2023 International Conference on Computational Science and Computational …, 2023 | | 2023 |
Rüdiger PryssProfessor of Medical Informatics, IKE-B, University of WürzburgE-mail megerősítve itt: uni-wuerzburg.de
