Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Angelika Szengel"'
Autor:
Leonid Goubergrits, Marie Schafstedde, Nikola Cesarovic, Angelika Szengel, Boris Schmitt, Moritz Wiegand, Jan Romberg, Andreas Arndt, Titus Kuehne, Jan Brüning
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract To facilitate pre-clinical animal and in-silico clinical trials for implantable pulmonary artery pressure sensors, understanding the respective species pulmonary arteries (PA) anatomy is important. Thus, morphological parameters describing P
Externí odkaz:
https://doaj.org/article/1648e1c5155c4053aa0a9af7c7f86af6
Autor:
Leonid Goubergrits, Katharina Vellguth, Lukas Obermeier, Adriano Schlief, Lennart Tautz, Jan Bruening, Hans Lamecker, Angelika Szengel, Olena Nemchyna, Christoph Knosalla, Titus Kuehne, Natalia Solowjowa
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundCardiac computed tomography (CCT) based computational fluid dynamics (CFD) allows to assess intracardiac flow features, which are hypothesized as an early predictor for heart diseases and may support treatment decisions. However, the unders
Externí odkaz:
https://doaj.org/article/8950131c129d442084309aac3bc6ad48
Autor:
David Fournier, Gareth A Palidwor, Sergey Shcherbinin, Angelika Szengel, Martin H Schaefer, Carol Perez-Iratxeta, Miguel A Andrade-Navarro
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e79894 (2013)
Alpha-solenoids are flexible protein structural domains formed by ensembles of alpha-helical repeats (Armadillo and HEAT repeats among others). While homology can be used to detect many of these repeats, some alpha-solenoids have very little sequence
Externí odkaz:
https://doaj.org/article/88a72ad9995a458a8a90390d1b8e954e
Autor:
Ute Schäfer, Gord von Campe, Yuan Jin, Hans Lamecker, Bomin Wang, Michal Spanel, Christian Doenitz, Heiko Ramm, Ulrike Zefferer, Matthias Josef Eder, Pedro Pimentel, Angelika Szengel, Adam Herout, Victor Alves, Oldřich Kodym, Franco Matzkin, Jan Egger, Moritz Ehlke, Zachary Fishman, James G. Mainprize, Ben Glocker, Stefan Zachow, Jianning Li, Virginia F. J. Newcombe, David G. Ellis, Dieter Schmalstieg, Haochen Shi, Enzo Ferrante, Karin Pistracher, Zhi Liu, Antonio Pepe, Bjoern H. Menze, Michele R. Aizenberg, Amirhossein Bayat, Christina Gsaxner, Suprosanna Shit, Michael Hardisty, Laura Estacio, Xiaojun Chen
Publikováno v:
IEEE transactions on medical imaging. 40(9)
The aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 1, Pp 121-7 (2020)
Automatic recognition of surgical phases is an important component for developing an intra-operative context-aware system. Prior work in this area focuses on recognizing short-term tool usage patterns within surgical phases. However, the difference b
Autor:
Lindsey Burggraaff, Dominique Sydow, Gerard J. P. van Westen, Andrea Volkamer, Adriaan P. IJzerman, Herman van Vlijmen, Angelika Szengel
Publikováno v:
Journal of Chemical Information and Modeling, 59(5), 1728-1742
Journal of Chemical Information and Modeling
Journal of Chemical Information and Modeling
Target deconvolution is a vital initial step in preclinical drug development to determine research focus and strategy. In this respect, computational target prediction is used to identify the most probable targets of an orphan ligand or the most simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55d9752c4f33a4ee89ea464666b4adb4
http://hdl.handle.net/1887/77053
http://hdl.handle.net/1887/77053
Publikováno v:
International journal of computer assisted radiology and surgery. 12(6)
A fully automated surgical tool detection framework is proposed for endoscopic video streams. State-of-the-art surgical tool detection methods rely on supervised one-vs-all or multi-class classification techniques, completely ignoring the co-occurren
Autor:
Angelika Szengel, Tim Landgraf, Jens Krause, David Bierbach, Romain J. G. Clément, Hai Nguyen, Joseph Schröer
Publikováno v:
Biomimetic and Biohybrid Systems ISBN: 9783319094342
Living Machines
Living Machines
Robotic fish that dynamically interact with live fish shoals dramatically augment the toolset of behavioral biologists. We have developed a system of biomimetic fish for the investigation of collective behavior in Guppies and similarly small fish. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::446a92c67fa9bcd759f5a267336899ff
https://doi.org/10.1007/978-3-319-09435-9_16
https://doi.org/10.1007/978-3-319-09435-9_16