Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar; Meißner, Karin (2023)
Eggers, Christine; Olliges, Elisabeth; Böck, Stefan; Kruger, Stefan; Uhl, Waldemar...
Complementary Medicine Research.
DOI: 10.1159/000529865
Schaub, Michael (2023)
TGA-Kongress, 23.-24.05.2023 in Berlin .
DOI: 10.13140/RG.2.2.17962.80328
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina; Ziegler, Birgit; Meißner, Karin (2023)
Hardy, Anne; Kraft, Jana; Baustädter, Verena; Bögel-Witt, Martina; Krassnig, Katharina...
Posterpräsentation auf dem Wissenschaftstag des 54. TCM Kongresses Rothenburg o.d.T..
Touissant, L.; Sirios , F. ; Hirsch, J. K.; Weber, Annemarie; Schelling, J.; Kohls, Niko; Offenbächer, M. (2023)
Touissant, L.; Sirios , F. ; Hirsch, J. K.; Weber, Annemarie; Schelling, J....
Quality of Life Research, 26(9), 2449-2457. doi:10.1007/s11136-017-1604-7.
DOI: https://doi.org.10.1007/s11136-017-1604-7
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha; Mohammad-Rahimi, Hossein; Chaurasia, Akhilanand; Pereira, Nielsen S.; Lee, Jae-Hong; Uribe, Sergio E.; Shahab, Shahriar; Koca-Ünsal, Revan B.; Ünsal, Gürkan; Martinez-Beneyto, Yolanda; Brinz, Janet; Tryfonos, Olga; Schwendicke, Falk (2023)
Schneider, Lisa; Rischke, Roman; Krois, Joachim; Krasowski, Aleksander; Büttner, Martha...
Journal of Dental Research 2023/135, 104556.
DOI: 10.1016/j.jdent.2023.104556
Objective
Federated Learning (FL) enables collaborative training of artificial intelligence (AI) models from multiple data sources without directly sharing data. Due to the large amount of sensitive data in dentistry, FL may be particularly relevant for oral and dental research and applications. This study, for the first time, employed FL for a dental task, automated tooth segmentation on panoramic radiographs.
Methods
We employed a dataset of 4,177 panoramic radiographs collected from nine different centers (n = 143 to n = 1881 per center) across the globe and used FL to train a machine learning model for tooth segmentation. FL performance was compared against Local Learning (LL), i.e., training models on isolated data from each center (assuming data sharing not to be an option). Further, the performance gap to Central Learning (CL), i.e., training on centrally pooled data (based on data sharing agreements) was quantified. Generalizability of models was evaluated on a pooled test dataset from all centers.
Results
For 8 out of 9 centers, FL outperformed LL with statistical significance (p<0.05); only the center providing the largest amount of data FL did not have such an advantage. For generalizability, FL outperformed LL across all centers. CL surpassed both FL and LL for performance and generalizability.
Conclusion
If data pooling (for CL) is not feasible, FL is shown to be a useful alternative to train performant and, more importantly, generalizable deep learning models in dentistry, where data protection barriers are high.
Clinical Significance
This study proves the validity and utility of FL in the field of dentistry, which encourages researchers to adopt this method to improve the generalizability of dental AI models and ease their transition to the clinical environment.
Demmler, Uwe; Stöckler, Manfred (2023)
Steuerrecht der betrieblichen Altersversorgung mit arbeitsrechtlichen Grundlagen Lfg. 51 / Mai 2023 / Band I / Teil 3, S. 1-194.
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen; Meißner, Karin (2023)
Kraft, Jana; Stamm, Lili; Waibl, Paula; Popovici, R. M.; Krieg, Jürgen...
Oral presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Thomann, Verena; Gomaa, Nadya; Stang, Marina; Funke, Susanne A.; Meißner, Karin (2023)
Posterpresentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies (SIPS), Duisburg, Germany.
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina; Meißner, Karin (2023)
Ort, Sandra; Waibl, Paula; Stang, Marina; Funke, Susanne A.; Dalkner, Nina...
Poster presentation, 4th International Conference of the Society for Interdisciplinary Placebo Studies, Duisburg, Germany.
Phillips, Mark (2023)
Vortrag auf der Impulsverantstaltung Bildungshub Kärnten „DER DRITTE ORT“ RAUM, LERNEN, LEBEN, ARBEIT".
Blaschke, Oliver; Brand, Felix; Drese, Klaus Stefan (2023)
Sensors 23 (10), S. 4616.
DOI: 10.3390/s23104616
For the investigation of moisture and salt content in historic masonry, destructive drilling samples followed by a gravimetric investigation is still the preferred method. In order to prevent the destructive intrusion into the building substance and to enable a large-area measurement, a nondestructive and easy-to-use measuring principle is needed. Previous systems for moisture measurement usually fail due to a strong dependence on contained salts. In this work, a ground penetrating radar (GPR) system was used to determine the frequency-dependent complex permittivity in the range between 1 and 3 GHz on salt-loaded samples of historical building materials. By choosing this frequency range, it was possible to determine the moisture in the samples independently of the salt content. In addition, it was possible to make a quantitative statement about the salt level. The applied method demonstrates that with ground penetrating radar measurements in the frequency range selected here, a salt-independent moisture determination can be carried out.
Denk, Marco; Arbeiter, Georg; Hohmann, Fabian; Hain, Stefan (2023)
PCIM Europe 2023; International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Nuremberg, Germany 2023, S. 1-9.
DOI: 10.30420/566091227
Reiß, Fabienne (2023)
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Reiß, Fabienne; Kiefer, Nadine; Kalkhof, Stefan; Noll, Matthias (2023)
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Reiß, Fabienne; Schuhmann, Antonia; Sohl, Leon; Thamm, Markus; Scheiner, Ricarda; Noll, Matthias (2023)
Reiß, Fabienne; Schuhmann, Antonia; Sohl, Leon; Thamm, Markus; Scheiner, Ricarda...
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN .
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias; Kalkhof, Stefan (2023)
Kiefer, Nadine; Reiß, Fabienne; Klein, Judith; Klein, Michael; Noll, Matthias...
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Kiefer, Nadine; Nichterlein, Moritz; Reiß, Fabienne; Runge, Madeleine; Biermann, Ulf; Noll, Matthias; Kalkhof, Stefan (2023)
Kiefer, Nadine; Nichterlein, Moritz; Reiß, Fabienne; Runge, Madeleine; Biermann, Ulf...
SETAC EUROPE 33rd ANNUAL MEETING, 30 APRIL - 4 MAY 2023, DUBLIN.
Backer, Alexander; Fairuschin, Viktor; Drese, Klaus Stefan (2023)
Sensors 23 (9), S. 4282.
DOI: 10.3390/s23094282
Guided acoustic waves (GAW) have proven to be a useful tool for structural health monitoring (SHM). However, the dispersive nature of commonly used Lamb waves compromises the spatial resolution making it difficult to detect small or weakly reflective defects. Here we demonstrate an approach that can compensate for the dispersive effects, allowing advanced algorithms to be used with significantly higher signal-to-noise ratio and spatial resolution. In this paper, the sign coherence factor (SCF) extension of the total focusing method (TFM) algorithm is used. The effectiveness is examined by numerical simulation and experimentally demonstrated by detecting weakly reflective layers with a highly dispersive A0 mode on an aluminum plate, which are not detectable without compensating for the dispersion effects.
Kalkhof, Stefan (2023)
Vortrag auf "Annual SYMBoD Meeting", Freiburg.
Schwab , Laura ; Prinsen, L.; Nowack, G.; Popp, D.; Noll, Matthias; Vogt , Carsten ; Wagner, M. (2023)
Schwab , Laura ; Prinsen, L.; Nowack, G.; Popp, D.; Noll, Matthias; Vogt , Carsten ...
Frontiers in Energy Research 11, 1125619.
DOI: 10.3389/fenrg.2023.1125619
ForschungsTransferCenter (FTC)
Friedrich-Streib-Str. 2
96450 Coburg