Carsten Vogel

• [ 2024 ]
• [ 2023 ]
• [ 2022 ]
• [ 2021 ]
• [ 2020 ]
• [ 2019 ]

• 1.

  Horn A, Wendel J, Franke I, Bauer A, Baumeister H, Bendig E, et al. The BrEasT cancer afTER-CARE (BETTER-CARE) programme to improve breast cancer follow-up: design and feasibility study results of a cluster-randomised complex intervention trial. Trials [Internet]. 2024;25(1):767. Available from: https://doi.org/10.1186/s13063-024-08614-8
  • [ DOI ]

• 1.

  Beierle F, Allgaier J, Stupp C, Keil T, Schlee W, Schobel J, et al. Self-Assessment of Having COVID-19 With the Corona Check Mhealth App. IEEE J Biomed Health Inform. 2023;Pp.
  • [ DOI ]
• 1.

  Engelke M, Simões J, Vogel C, Schoisswohl S, Schecklmann M, Wölflick S, et al. Pilot study of a smartphone-based tinnitus therapy using structured counseling and sound therapy: A multiple-baseline design with ecological momentary assessment. PLOS Digital Health [Internet]. 2023;2(1):e0000183. Available from: https://doi.org/10.1371/journal.pdig.0000183
  • [ DOI ]
• 1.

  Simoes JP, Schoisswohl S, Schlee W, Basso L, Bernal-Robledano A, Boecking B, et al. The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT). Trials [Internet]. 2023;24(1):472. Available from: https://doi.org/10.1186/s13063-023-07303-2
  • [ DOI ]
• 1.

  Vogel C, Bendig E, Garatva P, Stenzel L, Idrees AR, Kraft R, et al. A Highly Configurable EMA and JITAI Mobile App Framework Utilized in a Large-Scale German Study on Breast Cancer Aftercare. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 103-10.
  • [ DOI ]
• 1.

  Unnikrishnan V, Schleicher M, Puga C, Pryss R, Vogel C, Schlee W, et al. A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. In: Crémilleux B, Hess S, Nijssen S, editors. Advances in Intelligent Data Analysis XXI. Springer Nature Switzerland; 2023. pp. 459-71.
  • [ DOI ]
• 1.

  Kleinau A, Flügel S, Pryss R, Vogel C, Engelke M, Schlee W, et al. Predicting Patient-Based Time-Dependent Mobile Health Data. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). 2023. pp. 79-84.
  • [ DOI ]
• 1.

  Vogel C, Stach M, Allgaier J, Scheible J, Hofmann F, Pryss R. Exploring Concepts for Pipeline-Driven Mobile Health Data Dashboards: Insights from Personal Projects and GitHub Contributions. In: 2023 International Conference on Computational Science and Computational Intelligence (CSCI). 2023. pp. 1344-50.
  • [ DOI ]

• 1.

  O’Rourke T, Vogel C, John D, Pryss R, Schobel J, Haug F, et al. The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress. Frontiers in Psychology [Internet]. 2022;13. Available from: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.913125
  • [ DOI ]

• 1.

  Beierle F, Schobel J, Vogel C, Allgaier J, Mulansky L, Haug F, et al. 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.

  Vogel C, Pryss R, Schobel J, Schlee W, Beierle F. Developing apps for researching the covid-19 pandemic with the trackyourhealth platform. In: 2021 IEEE/ACM 8th International Conference on Mobile Software Engineering and Systems (MobileSoft). IEEE; 2021. pp. 65-8.
  • [ DOI ]
• 1.

  Schlee W, Schoisswohl S, Staudinger S, Schiller A, Lehner A, Langguth B, et al. 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.

  Vogel C, Schobel J, Schlee W, Engelke M, Pryss R. UNITI Mobile—EMI-Apps for a Large-Scale European Study on Tinnitus. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. pp. 2358-62.
  • [ DOI ]
• 1.

  Schlee W, Langguth B, Pryss R, Allgaier J, Mulansky L, Vogel C, et al. 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.

  Stach M, Vogel C, Gablonski TC, Andreas S, Probst T, Reichert M, et al. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science [Internet]. 2020;175:261-8. Available from: https://www.sciencedirect.com/science/article/pii/S187705092031718X
  • [ DOI ]

• 1.

  Gablonski TC, Pryss R, Probst T, Vogel C, Andreas S. Intersession-Online: A Smartphone Application for Systematic Recording and Controlling of Intersession Experiences in Psychotherapy. Vols. 2. 2019. pp. 480-95.
  • [ DOI ]