output
20052026
most citedIntegrating uncertainty in deep neural networks for MRI based stroke analysis

66 citations

13 papers

cond-mat.mtrl-sci2026★ 1 cited

Nonmonotonic Magnetic Friction from Collective Rotor Dynamics

Hongri Gu, Anton Lüders, Clemens Bechinger

Amontons' law postulates a monotonic relationship between frictional force and the normal load applied to a sliding contact. This empirical rule, however, fails in systems where in…

eess.SY2025★ 9 cited

Optimality and Suboptimality of MPPI Control in Stochastic and Deterministic Settings

Hannes Homburger, Florian Messerer, Moritz Diehl +1

Model predictive path integral (MPPI) control has recently received a lot of attention, especially in the robotics and reinforcement learning communities. This letter aims to make…

cs.RO2025★ 5 cited

Solgenia -- A Test Vessel Toward Energy-Efficient Autonomous Water Taxi Applications

Hannes Homburger, Stefan Wirtensohn, Patrick Hoher +4

Autonomous surface vessels are a promising building block of the future's transport sector and are investigated by research groups worldwide. This paper presents a comprehensive an…

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…

stat.AP2022★ 8 cited

Deep transformation models for functional outcome prediction after acute ischemic stroke

Lisa Herzog, Lucas Kook, Andrea Götschi +6

In many medical applications, interpretable models with high prediction performance are sought. Often, those models are required to handle semi-structured data like tabular and ima…

cs.LG2022★ 29 cited

Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows

Marcel Arpogaus, Marcus Voss, Beate Sick +2

The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level to increase efficiency and ensure reliable control. However, high flu…

q-bio.OT2021★ 63 cited

QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy

Glyn Nelson, Ulrike Boehm, Steve Bagley +97

In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scie…

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…

cs.CG2018★ 2 cited

Deep Learning Parametrization for B-Spline Curve Approximation

Pascal Laube, Matthias O. Franz, Georg Umlauf

In this paper we present a method using deep learning to compute parametrizations for B-spline curve approximation. Existing methods consider the computation of parametric values a…

math.CA2017★ 6 cited

Total nonnegativity of finite Hurwitz matrices and root location of polynomials

Mohammad Adm, Jürgen Garloff, Mikhail Tyaglov

In 1970, B.A. Asner, Jr., proved that for a real quasi-stable polynomial, i.e., a polynomial whose zeros lie in the \emph{closed} left half-plane of the complex plane, its finite H…

physics.ins-det2014★ 57 cited

Design of a dual species atom interferometer for space

Thilo Schuldt, Christian Schubert, Markus Krutzik +54

Atom interferometers have a multitude of proposed applications in space including precise measurements of the Earth's gravitational field, in navigation & ranging, and in fundament…

gr-qc2011★ 52 cited

Astrodynamical Space Test of Relativity using Optical Devices I (ASTROD I) - A class-M fundamental physics mission proposal for Cosmic Vision 2015-2025: 2010 Update

Claus Braxmaier, Hansjörg Dittus, Bernard Foulon +16

This paper on ASTROD I is based on our 2010 proposal submitted for the ESA call for class-M mission proposals, and is a sequel and an update to our previous paper [Experimental Ast…

physics.optics2005★ 4 cited

Optical fibers with interferometric path length stability by controlled heating for transmission of optical signals and as components in frequency standards

Holger Mueller, Achim Peters, Claus Braxmaier

We present a simple method to stabilize the optical path length of an optical fiber to an accuracy of about 1/100 of the laser wavelength. We study the dynamic response of the path…