Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sontje Ihler"'
Publikováno v:
SLAS Technology, Vol 29, Iss 4, Pp 100148- (2024)
Lab Automation facilitates high-throughput processes and improves reproducibility and efficiency while removing human action, primary source of contaminating particles. Handling poses a risk of contamination due to close contact with the objects. We
Externí odkaz:
https://doaj.org/article/31c7d6a16e234d62a8aef58515b6789e
Autor:
Leon Budde, Sontje Ihler, Svenja Spindeldreier, Tobias Lücking, Tim Meyer, Eberhard Bodenschatz, Wolfram-Hubertus Zimmermann
Publikováno v:
Current Directions in Biomedical Engineering. 8:137-140
Motivated by a high demand, the research interest in personalized artificial tissues is steadily increasing. Combining knowledge of additive manufacturing and tissue engineering, the research field of 3D bioprinting emerged. This work presents a six-
Publikováno v:
Machine Learning for Biomedical Imaging. 1:1-26
The consideration of predictive uncertainty in medical imaging with deep learning is of utmost importance. We apply estimation of both aleatoric and epistemic uncertainty by variational Bayesian inference with Monte Carlo dropout to regression tasks
Autor:
Jorge Badilla-Solórzano, Svenja Spindeldreier, Sontje Ihler, Nils-Claudius Gellrich, Simon Spalthoff
Publikováno v:
International journal of computer assisted radiology and surgery. 17(9)
Purpose: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundamental task for these systems, which is the focus of this work. We address the detection of the complete
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164309
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b77b0f34931e5bca4539fbf97147cb
https://doi.org/10.1007/978-3-031-16431-6_62
https://doi.org/10.1007/978-3-031-16431-6_62
Publikováno v:
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
Publikováno v:
Current Directions in Biomedical Engineering, Vol 5, Iss 1, Pp 223-226 (2019)
In this work, we discuss epistemic uncertainty estimation obtained by Bayesian inference in diagnostic classifiers and show that the prediction uncertainty highly correlates with goodness of prediction. We train the ResNet-18 image classifier on a da
Autor:
Sontje Ihler, Max-Heinrich Laves, Alexander Heisterkamp, Walter Neu, James W. Napier, Miroslav Zabic
Publikováno v:
Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2020.
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
Estimating tissue motion is crucial to provide automatic motion stabilization and guidance during surgery. However, endoscopic images often lack distinctive features and fine tissue deformation can only be captured with dense tracking methods like op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1295e432f9706d36fcd4e2677f1b5944
https://doi.org/10.1007/978-3-030-59716-0_6
https://doi.org/10.1007/978-3-030-59716-0_6
Autor:
Jessica Burgner Kahrs, Vincent Modes, Sontje Ihler, L¨uder A Kahrs, Tobias Tobias, Arya Nabavi
Publikováno v:
The Hamlyn Symposium on Medical Robotics.