Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Niemeijer, Joshua"'
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:
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
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
Autor:
Chen, Weijie, Astley, Susan M., Engelson, Sofija, Ehrhardt, Jan, Kepp, Timo, Niemeijer, Joshua, Schierholz, Stefanie, Berkel, Lennart, Elser, Yannic, Sieren, Malte Maria, Handels, Heinz
Publikováno v:
Proceedings of SPIE; April 2024, Vol. 12927 Issue: 1 p129271K-129271K-6, 1163446p
Roundabouts are well-known for their ability to improve upon traffic safety, especially for motorized traffic. An in-depth analysis on this topic is known from previous work. It was found that different types of roundabouts have different levels of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91db2b4f43b0221d2c97ebca3bb99f1
Autor:
Böttcher, Oliver, Fuchs, Julian, Hoffmann, Ragna, Katzler, Robert, Kornfeld, Nils, Leich, Andreas, Meuter, Johannes, Niemeijer, Joshua, Srinivas, Gurucharan, Tepper, Martin, Trupat, Stefan, Wagner, Peter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1640::17fe0568da6d17e79bceda3e7830713d
https://elib.dlr.de/194663/
https://elib.dlr.de/194663/