Hamberger, Jens; Hinterberger , Thilo ; Loew, T.; Meißner, Karin; Weimer, K. (2020)
e-Poster beim Kongress der Deutschen Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde (DGPPN), 26.11.2020, Online-Kongress.
Markert, Michael (2020)
Dissertation, Bauhaus-Universität Weimar, 2020.
DOI: 10.25643/bauhaus-universitaet.4303
DiEuliis, D.; Kohls, Niko; Giordano, J. (2020)
In M. Woesler & H. M. Sass (Eds.), Medizin und Ethik in Zeiten von Corona (pp. 323 - 327), 323-327.
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L.; Sirios , F. ; Untner, J.; Hirsch, J. K. (2020)
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L....
Eingereicht Österreichischer Kongress für Rheumatologie 2020..
Altier, H.; Offenbaecher, M.; van der Zee-Neuen, A.; Toussaint, L.; Kohls, Niko; Hanshans, Christian ; Sirios , F. ; Untner, J.; Hölzl, B.; Gaisberger, M.; Hirsch, J. K. (2020)
Altier, H.; Offenbaecher, M.; van der Zee-Neuen, A.; Toussaint, L.; Kohls, Niko...
Eingereicht Österreichischer Kongress für Rheumatologie 2020..
DOI: 10.13140/RG.2.2.23795.81443
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A.; Lunzer, R.; Herold, Manfred; Untner, J.; Kohls, Niko; Hölzl, B.; Gaisberger, M.; Toussaint, L. (2020)
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A....
Eingereicht Österreichischer Kongress für Rheumatologie 2020..
Offenbacher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A.; Lunzer, R.; Untner, J.; Kohls, Niko; Hölzl, B.; Gaisberger, M.; Toussaint, L. (2020)
Offenbacher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A....
Eingereicht Österreichischer Kongress für Rheumatologie 2020.
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Toussaint, L.; Kohls, Niko; Sirios , F. ; Untner, J.; Hirsch, J. K. (2020)
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Toussaint, L.; Kohls, Niko...
J Miner Stoffwechs Muskuloskelet Erkrank: 27:141.
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A.; Lunzer, R.; Untner, J.; Kohls, Niko; Hölzl, B.; Gaisberger, M.; Toussaint, L. (2020)
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A....
attending the Gastein Healing Gallery. J Miner Stoffwechs Muskuloskelet Erkrank;27:145.
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A.; Lunzer, R.; Untner, J.; Kohls, Niko; Hölzl, B.; Gaisberger, M.; Toussaint, L. (2020)
Offenbaecher, M.; Hirsch, J. K.; Sirios , F. ; van der Zee-Neuen, A.; Scharmga, A....
J Miner Stoffwechs Muskuloskelet Erkrank: 27:142.
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L.; Sirios , F. ; van der Zee-Neuen, A.; Untner, J.; Hirsch, J. K. (2020)
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L....
Suppl2:S96.
Strutz, Tilo; Leipnitz, Alexander; Jokisch, Oliver (2020)
5th Int. Conf. on Interactive Collaborative Robotics, ICR.
Advanced object detectors based on Convolutional Neural Networks (CNNs) offer high detection rates for many application scenarios but only within their respective training, validation and test data. Recent studies show that such methods provide a limited generalization ability for unknown data, even for small image modifications including a limited scale invariance. Reliable person detection with aerial robots (Unmanned Aerial Vehicles, UAVs) is an essential task to fulfill high security requirements or to support robot control, communication, and human-robot interaction. Particularly in an agricultural context persons need to be detected from a long distance and a high altitude to allow the UAV an adequate and timely response. While UAVs are able to produce high resolution images that enable the detection of persons from a longer distance, typical CNN input layer sizes are comparably low. The inevitable scaling of images to match the input-layer size can lead to a further reduction in person sizes. We investigate the reliability of different YOLOv3 architectures for person detection in regard to those input-scaling effects. The popular VisDrone data set with its varying image resolutions and relatively small depiction of humans is used as well as high resolution UAV images from an agricultural data set. To overcome the scaling problem, an algorithm is presented for segmenting high resolution images in overlapping tiles that match the input-layer size. The number and overlap of the tiles are dynamically determined based on the image resolution. It is shown that the detection rate of very small persons in high resolution images can be improved using this tiling approach.
Altier, H.; Offenbaecher, M.; Toussaint, L.; Kohls, Niko; Sirois, F.; van der Zee-Neuen, A.; Hirsch, J. K. (2020)
Altier, H.; Offenbaecher, M.; Toussaint, L.; Kohls, Niko; Sirois, F....
Posterpräsentation beim Deutschen Schmerzkongress 2020..
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L.; Sirios , F. ; van der Zee-Neuen, A.; Untner, J.; Hirsch, J. K. (2020)
Offenbaecher, M.; Zerhoch, Tamara; Nöfer, Eberhard; Kohls, Niko; Toussaint, L....
Posterpräsentation beim Deutschen Schmerzkongress 2020..
Altier, H.; Offenbaecher, M.; Toussaint, L.; Kohls, Niko; Sirios , F. ; van der Zee-Neuen, A.; Hirsch, J. K. (2020)
Altier, H.; Offenbaecher, M.; Toussaint, L.; Kohls, Niko; Sirios , F. ...
Schmerz;34 Suppl.2: S91.
DiEuliis, D.; Kohls, Niko; Giordano, J. (2020)
In M. Woesler & H. M. Sass (Eds.), Medicine and Ethics in Times of Corona (pp. 323 - 327), 323-327.
Hirsch, Jameson; Toussaint, L.; Offenbächer, M.; Kohls, Niko; Hanshans, Christian ; Vallejo, M.; Rivera, J.; Sirios , F. ; Untner, J.; Hölzl, B.; Gaisberger, M.; Ndosi, M. (2020)
Hirsch, Jameson; Toussaint, L.; Offenbächer, M.; Kohls, Niko; Hanshans, Christian ...
Musculoskeletal Care, n/a(n/a). 2020 / 18 (3), 391 - 396.
DOI: 10.1002/msc.1474
Ofek, E.; Grubert, Jens; Pahud, M.; Phillips, Mark ; Kristensson, P. O. (2020)
arXiv preprint arXiv:2009.02947.
Buchholz-Schuster, Eckardt (2020)
Zeitschrift für Kindschaftsrecht und Jugendhilfe (ZKJ) 2020 (9/10), 344-356.
Streit, Deniz; Shanmugam, Thiruvenkadam; Garbelyanski, Asen; Simm, Stefan; Schleiff, Enrico (2020)
Streit, Deniz; Shanmugam, Thiruvenkadam; Garbelyanski, Asen; Simm, Stefan...
Plants (Basel, Switzerland) 9 (8), 1016.
DOI: 10.3390/plants9081016
Ribosome biogenesis is one cell function-defining process. It depends on efficient transcription of rDNAs in the nucleolus as well as on the cytosolic synthesis of ribosomal proteins. For newly transcribed rRNA modification and ribosomal protein assembly, so-called small nucleolar RNAs (snoRNAs) and ribosome biogenesis factors (RBFs) are required. For both, an inventory was established for model systems like yeast and humans. For plants, many assignments are based on predictions. Here, RNA deep sequencing after nuclei enrichment was combined with single molecule species detection by northern blot and in vivo fluorescence in situ hybridization (FISH)-based localization studies. In addition, the occurrence and abundance of selected snoRNAs in different tissues were determined. These approaches confirm the presence of most of the database-deposited snoRNAs in cell cultures, but some of them are localized in the cytosol rather than in the nucleus. Further, for the explored snoRNA examples, differences in their abundance in different tissues were observed, suggesting a tissue-specific function of some snoRNAs. Thus, based on prediction and experimental confirmation, many plant snoRNAs can be proposed, while it cannot be excluded that some of the proposed snoRNAs perform alternative functions than are involved in rRNA modification.