Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jan Steinbrener"'
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-11 (2023)
Abstract Background Artificial intelligence (AI)-powered, robot-assisted, and ultrasound (US)-guided interventional radiology has the potential to increase the efficacy and cost-efficiency of interventional procedures while improving postsurgical out
Externí odkaz:
https://doaj.org/article/fa25b386728d4f689a567f02828b42db
Autor:
Jan Steinbrener, Vesna Dimitrievska, Federico Pittino, Frans Starmans, Roland Waldner, Jürgen Holzbauer, Thomas Arnold
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e14722- (2023)
We present a novel approach for extracting metric volume information of fruits and vegetables from short monocular video sequences and associated inertial data recorded with a hand-held smartphone. Estimated segmentation masks from a pre-trained obje
Externí odkaz:
https://doaj.org/article/d09c79f76f464119b0c584b7290a4d25
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/d3b7a6b2ee614a699a55511411a6fe7f
Autor:
Javier Gibran Apud Baca, Thomas Jantos, Mario Theuermann, Mohamed Amin Hamdad, Jan Steinbrener, Stephan Weiss, Alexander Almer, Roland Perko
Publikováno v:
Journal of Imaging, Vol 7, Iss 11, p 236 (2021)
Accurately estimating the six degree of freedom (6-DoF) pose of objects in images is essential for a variety of applications such as robotics, autonomous driving, and autonomous, AI, and vision-based navigation for unmanned aircraft systems (UAS). De
Externí odkaz:
https://doaj.org/article/7476e2bdc2be4673a55a67021b500c72
Publikováno v:
Sensors, Vol 20, Iss 21, p 6011 (2020)
We present a novel approach for training deep neural networks in a Bayesian way. Compared to other Bayesian deep learning formulations, our approach allows for quantifying the uncertainty in model parameters while only adding very few additional para
Externí odkaz:
https://doaj.org/article/ff911f51e68d4382b721ce498f4fcf7f