66 citations · 84 across the 2 of their papers we have counts for
2 papers
eess.SP2023★ 18 cited
Bayesian Calibration of MEMS Accelerometers
Oliver Dürr, Po-Yu Fan, Zong-Xian Yin
This study aims to investigate the utilization of Bayesian techniques for the calibration of micro-electro-mechanical systems (MEMS) accelerometers. These devices have garnered sub…
eess.IV2020★ 66 cited
Integrating uncertainty in deep neural networks for MRI based stroke analysis
Lisa Herzog, Elvis Murina, Oliver Dürr +2
At present, the majority of the proposed Deep Learning (DL) methods provide point predictions without quantifying the models uncertainty. However, a quantification of the reliabili…