Implementierung und Anwendung von Algorithmen zum Erzeugen und Manipulieren von Linienmengen

Autor: Vetter, Simon

Im Rahmen der Entwicklung der nächsten Version der FAnToM-Visualisierungssoftware wurde die bestehende Pipeline-Struktur durch Datenflussnetzwerke ersetzt. Dabei wurde die neue Datenstruktur 'Linienmenge' eingeführt. Da der Datenstruktur der Linien

Externí odkaz: https://ul.qucosa.de/id/qucosa%3A17201
https://ul.qucosa.de/api/qucosa%3A17201/attachment/ATT-0/

Assessment of the density of (meso)porous materials from standard volumetric physisorption data

Autor: Weinberger, Christian, Vetter, Simon, Tiemann, Michael, Wagner, Thorsten

Publikováno v: In Microporous and Mesoporous Materials 15 March 2016 223:53-57

Wireless Internet Security. (German)

Autor: Posegga, Joachim, Vetter, Simon

Publikováno v: Informatik Spektrum; Dec2001, Vol. 24 Issue 6, p383-386, 4p

Deep learning models to map osteocyte networks can successfully distinguish between young and aged bone.

Autor: Vetter SD; School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.; Digital Environment Research Institute, Queen Mary University of London, UK., Schurman CA; Department of Orthopaedic Surgery, University of California, San Francisco, CA 94143, USA.; UC Berkeley/UCSF Graduate Program in Bioengineering, San Francisco, CA 94143, USA.; Buck Institute for Research on Aging, Novato, CA, USA., Alliston T; Department of Orthopaedic Surgery, University of California, San Francisco, CA 94143, USA.; UC Berkeley/UCSF Graduate Program in Bioengineering, San Francisco, CA 94143, USA., Slabaugh GG; School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.; Digital Environment Research Institute, Queen Mary University of London, UK.; Alan Turing Institute, British Library, 96 Euston Rd, London NW1 2DB, UK., Verbruggen SW; Digital Environment Research Institute, Queen Mary University of London, UK.; Centre for Predictive in vitro Models, School of Engineering and Materials Science, Queen Mary University of London, UK.; INSIGNEO Institute for In Silico Medicine, University of Sheffield, UK.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2023 Dec 21. Date of Electronic Publication: 2023 Dec 21.