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pro vyhledávání: '"Drees, Dominik"'
Voreen -- An Open-source Framework for Interactive Visualization and Processing of Large Volume Data
Technological advances for measuring or simulating volume data have led to large data sizes in many research areas such as biology, medicine, physics, and geoscience. Here, large data can refer to individual data sets with high spatial and/or tempora
Externí odkaz:
http://arxiv.org/abs/2207.12746
One well established method of interactive image segmentation is the random walker algorithm. Considerable research on this family of segmentation methods has been continuously conducted in recent years with numerous applications. These methods are c
Externí odkaz:
http://arxiv.org/abs/2206.00947
Autor:
Drees, Dominik, Jiang, Xiaoyi
Advances in 3D imaging technology in recent years have allowed for increasingly high resolution volumetric images of large specimen. The resulting datasets of hundreds of Gigabytes in size call for new scalable and memory efficient approaches in the
Externí odkaz:
http://arxiv.org/abs/2112.09809
Publikováno v:
IEEE Trans. Image Process. 31: pp. 4431-4446 (2022)
The random walker method for image segmentation is a popular tool for semi-automatic image segmentation, especially in the biomedical field. However, its linear asymptotic run time and memory requirements make application to 3D datasets of increasing
Externí odkaz:
http://arxiv.org/abs/2103.09564
Publikováno v:
BMC Bioinformatics 22 (2021) 346
Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges regarding scalability for automated analysis
Externí odkaz:
http://arxiv.org/abs/2102.03444
In recent years, the importance of deep learning has significantly increased in pattern recognition, computer vision, and artificial intelligence research, as well as in industry. However, despite the existence of multiple deep learning frameworks, t
Externí odkaz:
http://arxiv.org/abs/1802.04626
Autor:
Kirschnick, Nils, Drees, Dominik, Redder, Esther, Erapaneedi, Raghu, Pereira da Graca, Abel, Schäfers, Michael, Jiang, Xiaoyi, Kiefer, Friedemann
Publikováno v:
In iScience 25 June 2021 24(6)
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-28 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-28 (2021)
Background: Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges regarding scalability for automat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68e43436907e0445f5ffa5b9ff450c22
https://repositorium.uni-muenster.de/transfer/miami/45e7f212-88b1-46f2-99ec-907281b41c4d
https://repositorium.uni-muenster.de/transfer/miami/45e7f212-88b1-46f2-99ec-907281b41c4d
Akademický článek
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Autor:
Bellgardt, Martin, Vinnikov, Vladimir, Georgevici, Adrian Iustin, Procopiuc, Livia, Weber, Thomas Peter, Meiser, Andreas, Herzog-Niescery, Jennifer, Drees, Dominik
Publikováno v:
Medical Gas Research; Oct-Dec2022, Vol. 12 Issue 4, p131-136, 6p