Zobrazeno 1 - 10
of 1 659
pro vyhledávání: '"A. A. Grunder"'
Autor:
Hein, Jonas, Grunder, Jan, Calvet, Lilian, Giraud, Frédéric, Cavalcanti, Nicola Alessandro, Carrillo, Fabio, Fürnstahl, Philipp
Virtual Reality technology, when integrated with Surgical Digital Twins (SDTs), offers significant potential in medical training and surgical planning. We present SurgTwinVR, a VR application that immerses users within an SDT and enables them to navi
Externí odkaz:
http://arxiv.org/abs/2409.11014
Publikováno v:
Microplastics and Nanoplastics, Vol 4, Iss 1, Pp 1-13 (2024)
Abstract While tire wear particles (TWP) have been estimated to represent more than 90% of the total microplastic (MP) emitted in European countries and may have environmental health effects, only few data about TWP concentrations and characteristics
Externí odkaz:
https://doaj.org/article/372424c3e3044587923ba28529c1974f
Autor:
Schellenberger, Christian, Hobelsberger, Christopher, Kolb-Grunder, Bastian, Herrmann, Florian, Schotten, Hans D.
In this paper an autonomous system to detect and combat Rumex obtusifolius leveraging autonomous unmanned aerial vehicles (UAV), small autonomous sprayer robots and 5G SA connectivity is presented. Rumex obtusifolius is a plant found on grassland tha
Externí odkaz:
http://arxiv.org/abs/2305.00430
Autor:
Andreas Meer, Philipp Rahm, Markus Schwendinger, Michael Vock, Bettina Grunder, Jacopo Demurtas, Jonas Rutishauser
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e58157 (2024)
BackgroundSymptom-checkers have become important tools for self-triage, assisting patients to determine the urgency of medical care. To be safe and effective, these tools must be validated, particularly to avoid potentially hazardous undertriage with
Externí odkaz:
https://doaj.org/article/9695fe7126364552bcdd38e611c7b36d
Autor:
Laurent, Florian, Schneider, Manuel, Scheller, Christian, Watson, Jeremy, Li, Jiaoyang, Chen, Zhe, Zheng, Yi, Chan, Shao-Hung, Makhnev, Konstantin, Svidchenko, Oleg, Egorov, Vladimir, Ivanov, Dmitry, Shpilman, Aleksei, Spirovska, Evgenija, Tanevski, Oliver, Nikov, Aleksandar, Grunder, Ramon, Galevski, David, Mitrovski, Jakov, Sartoretti, Guillaume, Luo, Zhiyao, Damani, Mehul, Bhattacharya, Nilabha, Agarwal, Shivam, Egli, Adrian, Nygren, Erik, Mohanty, Sharada
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and the re-scheduling of vehicles when disruptions occur, for example the br
Externí odkaz:
http://arxiv.org/abs/2103.16511
Autor:
Mahnel, Sabrina, Bannert, Franz, Zimmermann, Johannes, Grunder, Sergio, Demmig, Martin, Lomolino, Silvia, Grundmeier, Guido
Publikováno v:
In International Journal of Adhesion and Adhesives February 2024 129
Publikováno v:
In Journal of Affective Disorders Reports January 2024 15
Publikováno v:
Journal of Affective Disorders Reports, Vol 15, Iss , Pp 100692- (2024)
Background: Older adults are an important target group for loneliness interventions. However, most existing interventions aimed at older individuals do not focus on the strategy that has proven most effective (i.e., modifying maladaptive social cogni
Externí odkaz:
https://doaj.org/article/a9a955a80cec4f81baaea91950a740fe
Autor:
McKinley, Richard, Grunder, Lorenz, Wepfer, Rik, Aschwanden, Fabian, Fischer, Tim, Friedli, Christoph, Muri, Raphaela, Rummel, Christian, Verma, Rajeev, Weisstanner, Christian, Reyes, Mauricio, Salmen, Anke, Chan, Andrew, Wiest, Roland, Wagner, Franca
The detection of new or enlarged white-matter lesions in multiple sclerosis is a vital task in the monitoring of patients undergoing disease-modifying treatment for multiple sclerosis. However, the definition of 'new or enlarged' is not fixed, and it
Externí odkaz:
http://arxiv.org/abs/1904.03041
Autor:
McKinley, Richard, Wepfer, Rik, Aschwanden, Fabian, Grunder, Lorenz, Muri, Raphaela, Rummel, Christian, Verma, Rajeev, Weisstanner, Christian, Reyes, Mauricio, Salmen, Anke, Chan, Andrew, Wagner, Franca, Wiest, Roland
Segmentation of white matter lesions and deep grey matter structures is an important task in the quantification of magnetic resonance imaging in multiple sclerosis. In this paper we explore segmentation solutions based on convolutional neural network
Externí odkaz:
http://arxiv.org/abs/1901.07419