Fraunhofer-Einrichtung für Individualisierte Medizintechnik

Parameter Estimation for Model-Based Sensing of Magneto-Mechanical Resonators

Abstract Magneto-mechanical resonators (MMRs) represent a recently proposed type of passive sensor that enables the estimation of its pose as well as sensing other parameters in its environment. The working principle of MMRs entails an excitation of the sensors by oscillating mag...

Unsupervised deep learning for inverse problems in computed tomography

Abstract Assume you encounter an inverse problem that shall be solved for a large number of data, but no ground-truth data is available. To emulate this, in this study we assume it is unknown how to solve the imaging problem of Computed Tomography. We introduce an unsupervised de...

Introduction and validation of OSCAR—optimal stent choice algorithm

Abstract Purpose Standardization and international guidelines for stent size selection are lacking. In this study, we introduce and validate an artificial intelligence (AI)- and image processing-supported, modular software algorithm trained on a multicentric vascular segmentation...