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pro vyhledávání: '"AS Niemeijer"'
The usage of medical image data for the training of large-scale machine learning approaches is particularly challenging due to its scarce availability and the costly generation of data annotations, typically requiring the engagement of medical profes
Externí odkaz:
http://arxiv.org/abs/2406.17473
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
The evaluation of lymph node metastases plays a crucial role in achieving precise cancer staging, influencing subsequent decisions regarding treatment options. Lymph node detection poses challenges due to the presence of unclear boundaries and the di
Externí odkaz:
http://arxiv.org/abs/2406.03984
Autor:
Niemeijer, Joshua, Schwonberg, Manuel, Termöhlen, Jan-Aike, Schmidt, Nico M., Fingscheidt, Tim
When models, e.g., for semantic segmentation, are applied to images that are vastly different from training data, the performance will drop significantly. Domain adaptation methods try to overcome this issue, but need samples from the target domain.
Externí odkaz:
http://arxiv.org/abs/2312.01850
Autor:
Lieberwerth, Marishelle1 m.lieberwerth@uvh.nl, Niemeijer, Alistair2
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being. Dec2024, Vol. 19 Issue 1, p1-14. 14p.
Autor:
Schwonberg, Manuel, Niemeijer, Joshua, Termöhlen, Jan-Aike, Schäfer, Jörg P., Schmidt, Nico M., Gottschalk, Hanno, Fingscheidt, Tim
Deep neural networks (DNNs) have proven their capabilities in many areas in the past years, such as robotics, or automated driving, enabling technological breakthroughs. DNNs play a significant role in environment perception for the challenging appli
Externí odkaz:
http://arxiv.org/abs/2304.11928
Autor:
van Klinken, Gert
Publikováno v:
Documentatieblad voor de Nederlandse Kerkgeschiedenis na 1800. 6/1/2021, Vol. 44 Issue 94, p96-97. 2p.
Autor:
A. Keppens, S. Di Pede, D. Hubert, J.-C. Lambert, P. Veefkind, M. Sneep, J. De Haan, M. ter Linden, T. Leblanc, S. Compernolle, T. Verhoelst, J. Granville, O. Nath, A. M. Fjæraa, I. Boyd, S. Niemeijer, R. Van Malderen, H. G. J. Smit, V. Duflot, S. Godin-Beekmann, B. J. Johnson, W. Steinbrecht, D. W. Tarasick, D. E. Kollonige, R. M. Stauffer, A. M. Thompson, A. Dehn, C. Zehner
Publikováno v:
Atmospheric Measurement Techniques, Vol 17, Pp 3969-3993 (2024)
The Sentinel-5 Precursor (S5P) satellite operated by the European Space Agency has carried the TROPOspheric Monitoring Instrument (TROPOMI) on a Sun-synchronous low-Earth orbit since 13 October 2017. The S5P mission has acquired more than 5 years of
Externí odkaz:
https://doaj.org/article/218218c251c342fa9984d6eeb6a6f168
Active learning is particularly of interest for semantic segmentation, where annotations are costly. Previous academic studies focused on datasets that are already very diverse and where the model is trained in a supervised manner with a large annota
Externí odkaz:
http://arxiv.org/abs/2302.04075
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 19, Iss 1 (2024)
Long Covid (LC) has been called the greatest mass-disabling event in human history. For patients, LC not only has implications for quality of life but also for meaning in life: how one’s life and the world are understood and what is seen as valuabl
Externí odkaz:
https://doaj.org/article/cc9bc2ade54f4956a68dfa7031ee7161