Zobrazeno 1 - 10
of 43
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
Autor:
Rohit Dhakate, Christian Brommer, Christoph Bohm, Harald Gietler, Stephan Weiss, Jan Steinbrener
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Autor:
Jan Steinbrener, Alexander Almer, Roland Perko, Stephan Weiss, Mohamed Amin Hamdad, Javier Gibran Apud Baca, Mario Theuermann, Thomas Jantos
Publikováno v:
Journal of Imaging, Vol 7, Iss 236, p 236 (2021)
Journal of Imaging
Volume 7
Issue 11
Journal of Imaging
Volume 7
Issue 11
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
Publikováno v:
Computers and Electronics in Agriculture. 162:364-372
The classification of different types of fruits and vegetables is a difficult task, since many types are quite similar in color and shape. In this study, we show an easy way to classify hyperspectral images with state of the art convolutional neural