Dr. Johannes Allgaier

• [ 2023 ]
• [ 2022 ]
• [ 2021 ]
• [ 2019 ]

• 1.

  Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, Vogel C, Haug F, Haug J, Holfelder M, Langguth B, Langguth J, Riens B, King R, Mulansky L, Schickler M, Stach M, Heuschmann P, Wildner M, Greger H, Reichert M, Kestler HA, Pryss R. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • [ DOI ]
• 1.

  Allgaier J, Mulansky L, Draelos RL, Pryss R. How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare. Artif Intell Med. 2023;143:102616.
  • [ DOI ]
• 1.

  Breitmayer M, Stach M, Kraft R, Allgaier J, Reichert M, Schlee W, Probst T, Langguth B, Pryss R. Predicting the presence of tinnitus using ecological momentary assessments. Scientific Reports [Internet]. 2023;13(1):8989. Available from: https://doi.org/10.1038/s41598-023-36172-7
  • [ DOI ]

• 1.

  Allgaier J, Schlee W, Probst T, Pryss R. Prediction of Tinnitus Perception Based on Daily Life MHealth Data Using Country Origin and Season. Journal of Clinical Medicine [Internet]. 2022;11(15):4270. Available from: https://www.mdpi.com/2077-0383/11/15/4270

• 1.

  Allgaier J, Schlee W, Langguth B, Probst T, Pryss R. Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform. Scientific Reports [Internet]. 2021;11(1):18375. Available from: https://doi.org/10.1038/s41598-021-96731-8
  • [ DOI ]
• 1.

  Schlee W, Langguth B, Pryss R, Allgaier J, Mulansky L, Vogel C, Spiliopoulou M, Schleicher M, Unnikrishnan V, Puga C, Manta O, Sarafidis M, Kouris I, Vellidou E, Koutsouris D, Koloutsou K, Spanoudakis G, Cederroth C, Kikidis D. Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment. In: Searchfield GD, Zhang J, editors. The Behavioral Neuroscience of Tinnitus [Internet]. Cham: Springer International Publishing; 2021. pp. 175-89. Available from: https://doi.org/10.1007/7854_2021_229
  • [ DOI ]
• 1.

  Fleischer A, Heimeshoff L, Allgaier J, Jordan K, Gelbrich G, Pryss R, Schobel J, Einsele H, Kortuem M, Maatouk I, Weinhold N, Rasche L. 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 Measure. Blood [Internet]. 2021;138:836. Available from: https://www.sciencedirect.com/science/article/pii/S000649712102824X
  • [ DOI ]
• 1.

  Allgaier J, Neff P, Schlee W, Schoisswohl S, Pryss R. Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 816-9.
  • [ DOI ]
• 1.

  Schlee W, Schoisswohl S, Staudinger S, Schiller A, Lehner A, Langguth B, Schecklmann M, Simoes J, Neff P, Marcrum SC, Spiliopoulou M, Niemann U, Schleicher M, Unnikrishnan V, Puga C, Mulansky L, Pryss R, Vogel C, Allgaier J, Giannopoulou E, Birki K, Liakou K, Cima R, Vlaeyen JWS, Verhaert N, Ranson S, Mazurek B, Brueggemann P, Boecking B, Amarjargal N, Specht S, Stege A, Hummel M, Rose M, Oppel K, Dettling-Papargyris J, Lopez-Escamez JA, Amanat S, Gallego-Martinez A, Escalera-Balsera A, Espinosa-Sanchez JM, Garcia-Valdecasas J, Mata-Ferron M, Martin-Lagos J, Martinez-Martinez M, Martinez-Martinez MJ, Müller-Locatelli N, Perez-Carpena P, Alcazar-Beltran J, Hidalgo-Lopez L, Vellidou E, Sarafidis M, Katrakazas P, Kostaridou V, Koutsouris D, Manta R, Paraskevopoulos E, Haritou M, Elgoyhen AB, Goedhart H, Koller M, Shekhawat GS, Crump H, Hannemann R, Holfelder M, Oberholzer T, Vontas A, Trochidis I, Moumtzi V, Cederroth CR, Koloutsou K, Spanoudakis G, Basdekis I, Gallus S, Lugo A, Stival C, Borroni E, Markatos N, Bibas A, Kikidis D. Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI. In: Schlee W, Langguth B, Kleinjung T, Vanneste S, De Ridder D, editors. Progress in Brain Research [Internet]. Elsevier; 2021. pp. 441-5. Available from: https://www.sciencedirect.com/science/article/pii/S0079612320302351
  • [ DOI ]
• 1.

  Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, Haug J, Schlee W, Holfelder M, Stach M, Schickler M, Baumeister H, Cohrdes C, Deckert J, Deserno L, Edler JS, Eichner FA, Greger H, Hein G, Heuschmann P, John D, Kestler HA, Krefting D, Langguth B, Meybohm P, Probst T, Reichert M, Romanos M, Störk S, Terhorst Y, Weiß M, Pryss R. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health [Internet]. 2021;18(14):7395. Available from: https://www.mdpi.com/1660-4601/18/14/7395
  • [ DOI ]
• 1.

  Landauer J, Hoppenstedt B, Allgaier J. Image Segmentation To Locate Ancient Maya Architectures Using Deep Learning. In: Kocev D, Simidjievski N, Kostovska A, Dimitrovski I, Kokalj Z, editors. Discover the mysteries of the maya. Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia; 2021. p. 7.

• 1.

  Kammerer K, Hoppenstedt B, Pryss R, Stökler S, Allgaier J, Reichert M. Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings. Sensors [Internet]. 2019;19(24):5370. Available from: https://www.mdpi.com/1424-8220/19/24/5370