Philipp Rostalski

Orcid: 0000-0003-0326-168X

According to our database1, Philipp Rostalski authored at least 47 papers between 2006 and 2024.

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Bibliography

2024
Signal quality evaluation of single-channel respiratory sEMG recordings.
Biomed. Signal Process. Control., January, 2024

2023
Anatomy-guided domain adaptation for 3D in-bed human pose estimation.
Medical Image Anal., October, 2023

Model-Based Estimation of Inspiratory Effort Using Surface EMG.
IEEE Trans. Biomed. Eng., 2023

Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading.
IEEE Access, 2023

2022
Special issue: AUTOMED 2021: Automation in Medical Technology.
Autom., 2022

Model-based analysis and optimization of pressure-controlled ventilation of COPD patients in relation to BMI.
Autom., 2022

Concept for the testing of automated functions in therapeutic medical devices.
Autom., 2022

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions.
IEEE Access, 2022

Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants.
Proceedings of the IEEE International Conference on Acoustics, 2022

Probabilistic Ultra-Wideband TDoA Localization with Bias Correction.
Proceedings of the 30th European Signal Processing Conference, 2022

Comfortable Body Surface Potential Mapping by Means of a Dry Electrode Belt.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Muscle Artifact Removal in Single-Channel Electrocardiograms using Temporal Convolutional Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Recursively Feasible Model Predictive Control using Latent Force Models Applied to Disturbed Quadcopters.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A real-time GP based MPC for quadcopters with unknown disturbances.
Proceedings of the American Control Conference, 2022

2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions.
CoRR, 2021

Probabilistic model-based fault diagnosis for the cavities of the European XFEL.
Autom., 2021

Practical Model Predictive Control for a Class of Nonlinear Systems Using Linear Parameter-Varying Representations.
IEEE Access, 2021

Iterative Gaussian Process Model Predictive Control with Application to Physiological Control Systems<sup>*</sup>.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Hybrid Factor Graph Model for Biomedical Activity Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Automation in medical technology: Model-based design as a key for safe and effective medicine.
Autom., 2020

Robust model predictive control of an anaesthesia workstation ventilation unit.
Autom., 2020

Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms.
IEEE Access, 2020

Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Iterative Approximate Nonlinear Inference via Gaussian Message Passing on Factor Graphs.
IEEE Control. Syst. Lett., 2019

Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase.
CoRR, 2019

Tube-based model predictive control for linear parameter-varying systems with bounded rate of parameter variation.
Autom., 2019

Automatic Estimation of Respiratory Effort using Esophageal Pressure.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Feasibility of Automated Vital Sign Instability Detection in Children Admitted to the Pediatric Intensive Care Unit.
Proceedings of the 46th Computing in Cardiology, 2019

Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
On Approximate Nonlinear Gaussian Message Passing on Factor Graphs.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Study Program "Robotics and Autonomous Systems" at the University of Lübeck.
Proceedings of the 12th European Workshop on Microelectronics Education, 2018

A Robust Model Predictive Control Approach to Intelligent Respiratory Support.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2017
A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A factor graph approach to parameter identification for affine LPV systems.
Proceedings of the 2017 American Control Conference, 2017

2016
Convolutive blind source separation on surface EMG signals for respiratory diagnostics and medical ventilation control.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Deciding Polyhedrality of Spectrahedra.
SIAM J. Optim., 2015

2013
Moment matrices, border bases and real radical computation.
J. Symb. Comput., 2013

2011
Numerical Algebraic Geometry for Optimal Control Applications.
SIAM J. Optim., 2011

2010
Removing Redundant Quadratic Constraints.
Proceedings of the Mathematical Software, 2010

2009
A prolongation-projection algorithm for computing the finite real variety of an ideal.
Theor. Comput. Sci., 2009

2008
Semidefinite Characterization and Computation of Zero-Dimensional Real Radical Ideals.
Found. Comput. Math., 2008

Computing the real variety of an ideal: a real algebraic and symbolic-numeric algorithm.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

2007
A hybrid approach to modelling, control and state estimation of mechanical systems with backlash.
Int. J. Control, 2007

A numerical algebraic geometry approach to nonlinear constrained optimal control.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
An algebraic geometry approach to nonlinear parametric optimization in control.
Proceedings of the American Control Conference, 2006

Using Path integral Short Time Propagators for numerical Analysis of stochastic Hybrid Systems.
Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems, 2006


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