Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Ivan, Viola"'
Autor:
Keying Guo, Raik Grünberg, Yuxiang Ren, Tianrui Chang, Shofarul Wustoni, Ondrej Strnad, Anil Koklu, Escarlet Díaz‐Galicia, Jessica Parrado Agudelo, Victor Druet, Tania Cecilia Hidalgo Castillo, Maximilian Moser, David Ohayon, Adel Hama, Ashraf Dada, Iain McCulloch, Ivan Viola, Stefan T. Arold, Sahika Inal
Publikováno v:
Advanced Science, Vol 11, Iss 27, Pp n/a-n/a (2024)
Abstract Electronic immunosensors are indispensable tools for diagnostics, particularly in scenarios demanding immediate results. Conventionally, these sensors rely on the chemical immobilization of antibodies onto electrodes. However, globular prote
Externí odkaz:
https://doaj.org/article/35c5a27cf762472db409c2989cc5b573
Autor:
Hsiang-Yun Wu, Aleksandr Amirkhanov, Nicolas Grossmann, Tobias Klein, David Kouřil, Haichao Miao, Laura R. Luidolt, Peter Mindek, Renata G. Raidou, Ivan Viola, Manuela Waldner, M. Eduard Gröller
Publikováno v:
Visual Informatics, Vol 5, Iss 1, Pp 76-84 (2021)
Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scien
Externí odkaz:
https://doaj.org/article/7b55e243d8df4fb29e77e3f0220a3127
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-20 (2019)
Abstract Background Biological pathways represent chains of molecular interactions in biological systems that jointly form complex dynamic networks. The network structure changes from the significance of biological experiments and layout algorithms o
Externí odkaz:
https://doaj.org/article/9ca25c8befaf4fa1a72950d86c3837f7
Autor:
Katarína Furmanová, Jan Byška, Eduard M. Gröller, Ivan Viola, Jan J. Paleček, Barbora Kozlíková
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-17 (2018)
Abstract Background Studying the patterns of protein-protein interactions (PPIs) is fundamental for understanding the structure and function of protein complexes. The exploration of the vast space of possible mutual configurations of interacting prot
Externí odkaz:
https://doaj.org/article/1313da42c8184e1cbb49ce6ddf24bd2e
Autor:
Yinqiao Wang, Changhe Tu, Yi Cao, Ivan Viola, Yongwei Zhao, Jian Zhang, Yunhai Wang, Qiong Zeng
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:4902-4917
Colormapping is an effective and popular visualization technique for analyzing patterns in scalar fields. Scientists usually adjust a default colormap to show hidden patterns by shifting the colors in a trial-and-error process. To improve efficiency,
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:2682-2696
We present a multi-level area balancing technique for laying out clustered graphs to facilitate a comprehensive understanding of the complex relationships that exist in various fields, such as life sciences and sociology. Clustered graphs are often u
Publikováno v:
Computer Graphics Forum
Combining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges in visualization for physiolo
Autor:
Julio Rey Ramirez, Peter Rautek, Ciril Bohak, Ondrej Strnad, Zheyuan Zhang, Sai Li, Ivan Viola, Wolfgang Heidrich
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-15
Autor:
Tobias Klein, Ivan Viola, Manuela Waldner, Nicolas Grossmann, M. Eduard Gröller, Laura R. Luidolt, Hsiang-Yun Wu, David Kouřil, Renata Georgia Raidou, Aleksandr Amirkhanov, Haichao Miao, Peter Mindek
Publikováno v:
Visual Informatics, Vol 5, Iss 1, Pp 76-84 (2021)
Building-up and running a university-based research group is a multi-faceted undertaking. The visualization working group at TU Wien (vis-group) has been internationally active over more than 25 years. The group has been acting in a competitive scien
Autor:
Žiga Lesar, Ruwayda Alharbi, Ciril Bohak, Ondřej Strnad, Christoph Heinzl, Matija Marolt, Ivan Viola
We present a novel smart visibility system for visualizing crowded volumetric data containing many object instances. The presented approach allows users to form groups of objects through membership predicates and to individually control the visibilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0434011f9c6a0c5c88370fdce085034
http://arxiv.org/abs/2206.07392
http://arxiv.org/abs/2206.07392