Publications

Comprehensive Exploration of Synthetic Data Generation: A Survey. Bauer, André; and Trapp, Simon; and Stenger, Michael; and Leppich, Robert; and Kounev, Samuel; and Leznik, Mark; and Chard, Kyle; and Foster, Ian; in arXiv preprint (2024). 103.

https://doi.org/10.48550/arXiv.2401.02524

[ BibTeX ]

@article{bauer2024comprehensive,
  author = {Bauer, André and and Trapp, Simon and and Stenger, Michael and and Leppich, Robert and and Kounev, Samuel and and Leznik, Mark and and Chard, Kyle and and Foster, Ian},
  journal = {arXiv preprint},
  keywords = {t_journalmagazine},
  note = {https://doi.org/10.48550/arXiv.2401.02524},
  pages = 103,
  title = {Comprehensive Exploration of Synthetic Data Generation: A Survey},
  year = 2024
}

Deep Neural Network Regression for Normalized Digital Surface Model Generation with Sentinel-2 Imagery. Müller, Konstantin; Leppich, Robert; Geiß, Christian; Borst, Vanessa; Pelizari, Patrick Aravena; Kounev, Samuel; in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023). 1–14.

[ Abstract ]
[ BibTeX ]

In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are precious, as they can provide detailed information for a specific area. However, measurements with a high resolution are time-consuming and costly. Only a few approaches exist to create high-resolution normalized digital surface models for extensive areas. This paper explores approaches to extract high-resolution nDSMs from low-resolution Sentinel-2 data, allowing us to derive large-scale models. We thereby utilize the advantages of Sentinel 2 being open access, having global coverage, and providing steady updates through a high repetition rate. Several deep-learning models are trained to overcome the gap in producing high-resolution surface maps from low-resolution input data. With U-Net as a base architecture, we extend the capabilities of our model by integrating tailored multiscale encoders with differently sized kernels in the convolution as well as conformed self-attention inside the skip connection gates. Using pixel-wise regression, our U-Net base models can achieve a mean height error of approximately two meters. Moreover, through our enhancements to the model architecture, we reduce the model error by more than seven percent.

@article{10189905,
  abstract = {In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are precious, as they can provide detailed information for a specific area. However, measurements with a high resolution are time-consuming and costly. Only a few approaches exist to create high-resolution normalized digital surface models for extensive areas. This paper explores approaches to extract high-resolution nDSMs from low-resolution Sentinel-2 data, allowing us to derive large-scale models. We thereby utilize the advantages of Sentinel 2 being open access, having global coverage, and providing steady updates through a high repetition rate. Several deep-learning models are trained to overcome the gap in producing high-resolution surface maps from low-resolution input data. With U-Net as a base architecture, we extend the capabilities of our model by integrating tailored multiscale encoders with differently sized kernels in the convolution as well as conformed self-attention inside the skip connection gates. Using pixel-wise regression, our U-Net base models can achieve a mean height error of approximately two meters. Moreover, through our enhancements to the model architecture, we reduce the model error by more than seven percent.},
  author = {Müller, Konstantin and Leppich, Robert and Geiß, Christian and Borst, Vanessa and Pelizari, Patrick Aravena and Kounev, Samuel},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  keywords = {t_journalmagazine},
  pages = {1-14},
  title = {Deep Neural Network Regression for Normalized Digital Surface Model Generation with Sentinel-2 Imagery},
  year = 2023
}

Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. Bauer, André; Leznik, Mark; Stenger, Michael; Leppich, Robert; Herbst, Nikolas; Kounev, Samuel; Foster, Ian; (2023).

[ BibTeX ]
[ Download ]

@misc{bauer2023telescope,
  author = {Bauer, André and Leznik, Mark and Stenger, Michael and Leppich, Robert and Herbst, Nikolas and Kounev, Samuel and Foster, Ian},
  keywords = {t_journalmagazine},
  title = {Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field},
  year = 2023
}

Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial. Helmer, Philipp; Hottenrott, Sebastian; Rodemers, Philipp; Leppich, Robert; Helwich, Maja; Pryss, R{\"u}diger; Kranke, Peter; Meybohm, Patrick; Winkler, Bernd E; Sammeth, Michael; in Journal of Medical Internet Research (2022). 24(12) e42359. JMIR Publications Toronto, Canada.

[ BibTeX ]

@article{helmer2022accuracy,
  author = {Helmer, Philipp and Hottenrott, Sebastian and Rodemers, Philipp and Leppich, Robert and Helwich, Maja and Pryss, R{\"u}diger and Kranke, Peter and Meybohm, Patrick and Winkler, Bernd E and Sammeth, Michael},
  journal = {Journal of Medical Internet Research},
  keywords = {t_journalmagazine},
  number = 12,
  pages = {e42359},
  publisher = {JMIR Publications Toronto, Canada},
  title = {Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial},
  volume = 24,
  year = 2022
}

The Relationship Between the Distribution of Training Intensity and Performance of Kayak and Canoe Sprinters: A Retrospective Observational Analysis of One Season of Competition. Matzka, Manuel; Leppich, Robert; Holmberg, Hans-Christer; Sperlich, Billy; Zinner, Christoph; in Frontiers in Sports and Active Living (2022). 3 788108. Frontiers Media SA.

[ BibTeX ]

@article{matzka2022relationship,
  author = {Matzka, Manuel and Leppich, Robert and Holmberg, Hans-Christer and Sperlich, Billy and Zinner, Christoph},
  journal = {Frontiers in Sports and Active Living},
  keywords = {t_journalmagazine},
  pages = 788108,
  publisher = {Frontiers Media SA},
  title = {The Relationship Between the Distribution of Training Intensity and Performance of Kayak and Canoe Sprinters: A Retrospective Observational Analysis of One Season of Competition},
  volume = 3,
  year = 2022
}

Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers. Matzka, Manuel; Leppich, Robert; Sperlich, Billy; Zinner, Christoph; in Sports Medicine-Open (2022). 8(1) 1–12. SpringerOpen.

[ BibTeX ]
[ Download ]

@article{matzka2022retrospective,
  author = {Matzka, Manuel and Leppich, Robert and Sperlich, Billy and Zinner, Christoph},
  journal = {Sports Medicine-Open},
  keywords = {t_journalmagazine},
  number = 1,
  pages = {1–12},
  publisher = {SpringerOpen},
  title = {Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers},
  volume = 8,
  year = 2022
}

The integration of training and off-training activities substantially alters training volume and load analysis in elite rowers. Treff, Gunnar; Leppich, Robert; Winkert, Kay; Steinacker, J{\"u}rgen M; Mayer, Benjamin; Sperlich, Billy; in Scientific reports (2021). 11(1) 1–10. Nature Publishing Group.

[ BibTeX ]

@article{treff2021integration,
  author = {Treff, Gunnar and Leppich, Robert and Winkert, Kay and Steinacker, J{\"u}rgen M and Mayer, Benjamin and Sperlich, Billy},
  journal = {Scientific reports},
  keywords = {t_journalmagazine},
  number = 1,
  pages = {1–10},
  publisher = {Nature Publishing Group},
  title = {The integration of training and off-training activities substantially alters training volume and load analysis in elite rowers},
  volume = 11,
  year = 2021
}

Establishing a cardiac training group for patients with heart failure: the “HIP-in-W{\"u}rzburg” study. G{\"u}der, G{\"u}lmisal; Wilkesmann, Joana; Scholz, Nina; Leppich, Robert; D{\"u}king, Peter; Sperlich, Billy; Rost, Christian; Frantz, Stefan; Morbach, Caroline; Sahiti, Floran; others; in Clinical Research in Cardiology (2021). 1–10. Springer.

[ BibTeX ]

@article{guder2021establishing,
  author = {G{\"u}der, G{\"u}lmisal and Wilkesmann, Joana and Scholz, Nina and Leppich, Robert and D{\"u}king, Peter and Sperlich, Billy and Rost, Christian and Frantz, Stefan and Morbach, Caroline and Sahiti, Floran and others},
  journal = {Clinical Research in Cardiology},
  keywords = {t_journalmagazine},
  pages = {1–10},
  publisher = {Springer},
  title = {Establishing a cardiac training group for patients with heart failure: the “HIP-in-W{\"u}rzburg” study},
  year = 2021
}

Intra-individual physiological response of recreational runners to different training mesocycles: a randomized cross-over study. D{\"u}king, Peter; Holmberg, Hans-Christer; Kunz, Philipp; Leppich, Robert; Sperlich, Billy; in European Journal of Applied Physiology (2020). 1–9. Springer.

[ BibTeX ]

@article{duking2020intra,
  author = {D{\"u}king, Peter and Holmberg, Hans-Christer and Kunz, Philipp and Leppich, Robert and Sperlich, Billy},
  journal = {European Journal of Applied Physiology},
  keywords = {t_journalmagazine},
  pages = {1–9},
  publisher = {Springer},
  title = {Intra-individual physiological response of recreational runners to different training mesocycles: a randomized cross-over study},
  year = 2020
}

The impact of the German strategy for containment of Coronavirus SARS-CoV-2 on the training characteristics, physical activity, sleep of highly trained kayakers and canoeists: A retrospective observational study. Zinner, Christoph; Matzka, Manuel; Leppich, Robert; Kounev, Samuel; Holmberg, HC; Sperlich, Billy; in Frontiers in Sports and Active Living (2020). 2 127. Frontiers.

[ BibTeX ]

@article{zinner2020impact,
  author = {Zinner, Christoph and Matzka, Manuel and Leppich, Robert and Kounev, Samuel and Holmberg, HC and Sperlich, Billy},
  journal = {Frontiers in Sports and Active Living},
  keywords = {covid19},
  pages = 127,
  publisher = {Frontiers},
  title = {The impact of the German strategy for containment of Coronavirus SARS-CoV-2 on the training characteristics, physical activity, sleep of highly trained kayakers and canoeists: A retrospective observational study},
  volume = 2,
  year = 2020
}

A 4-Week intervention involving mobile-based daily 6-minute micro-sessions of functional high-intensity circuit training improves strength and quality of life, but not cardio-respiratory fitness of young untrained adults. Sperlich, Billy; Hahn, Lea-Sofie; Edel, Antonia; Behr, Tino; Helmprobst, Julian; Leppich, Robert; Wallmann-Sperlich, Birgit; Holmberg, Hans-Christer; in Frontiers in physiology (2018). 9 423. Frontiers.

[ BibTeX ]
[ Download ]

@article{sperlich20184,
  author = {Sperlich, Billy and Hahn, Lea-Sofie and Edel, Antonia and Behr, Tino and Helmprobst, Julian and Leppich, Robert and Wallmann-Sperlich, Birgit and Holmberg, Hans-Christer},
  journal = {Frontiers in physiology},
  keywords = {t_journalmagazine},
  pages = 423,
  publisher = {Frontiers},
  title = {A 4-Week intervention involving mobile-based daily 6-minute micro-sessions of functional high-intensity circuit training improves strength and quality of life, but not cardio-respiratory fitness of young untrained adults},
  volume = 9,
  year = 2018
}

Journal and Magazine Articles

Talks

Hinweis zum Datenschutz

Hinweis zum Datenschutz

Bildnachweise