Rostalski Philipp

Research output

Research output per year 2015 2017 2018 2019 2020 2022 2023 2024

• 32 Journal articles
• 22 Conference Papers
• 15 Conference contribution
• 4 Conference Articles in Journals
• 7 More
  • 4 Other
  • 1 Conference proceedings
  • 1 Editorial
  • 1 Working papers

Research output per year

Research output per year

Search results

• 2024

  Signal quality evaluation of single-channel respiratory sEMG recordings

  Sauer, J., Siebert, M., Boudnik, L., Carbon, N. M., Walterspacher, S. & Rostalski, P., 01.2024, In: Biomedical Signal Processing and Control. 87, Part B, p. 105414 1 p., Part B.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Electromyography 100%
  • Mean square error 75%
  • Neural networks 33%
  • Impurities 26%
  • Muscle 25%
• 2023

  A lung model considering age, sex and height: an in-silico study – gas exchange

  Merrath, S., Hennigs, C., Oltmann, A. & Rostalski, P., 2023. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• A lung model considering age, sex and height: an in-silico study – lung mechanics

  Merrath, S., Hennigs, C., Oltmann, A. & Rostalski, P., 2023. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Anatomy-guided domain adaptation for 3D in-bed human pose estimation

  Bigalke, A., Hansen, L., Diesel, J., Hennigs, C., Rostalski, P. & Heinrich, M. P., 10.2023, In: Medical Image Analysis. 89, 102887.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Anatomy 100%
  • Datasets 48%
  • Psychological Generalization 40%
  • Extremities 22%
  • Learning 22%
  1 Citation (Scopus)

• A simple mathematical lung model of Chronic Obstructive Pulmonary Disease (COPD)

  Hennigs, C., Bilda, F., Graßhoff, J., Rostalski, P. & Hardel, T. T., 2023. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

• Influence of Video-Preprocessing on Deep Learning-based Surgical Skill Assessment

  Wolf, G., Geck, P. A., Hagenah, J., Maennel, G., Keck, T., Rostalski, P., Ipsen, S. & Keck, T., 01.09.2023, In: Current Directions in Biomedical Engineering. 9, 1, p. 21-24 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Optical flows 100%
  • Deep learning 80%
  • Robotic surgery 61%
  • Network architecture 41%
  • Sampling 31%

• Model-Based Estimation of Inspiratory Effort Using Surface EMG

  Grashoff, J., Petersen, E., Walterspacher, S. & Rostalski, P., 01.01.2023, In: IEEE Transactions on Biomedical Engineering. 70, 1, p. 247-258 12 p., 1.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Pressure 100%
  • Mechanical Ventilators 60%
  • Respiratory Muscles 47%
  • Artificial Respiration 36%
  • Lung 20%
  1 Citation (Scopus)

• Simulation of the Respiratory CO2 Concentration with a Blower-Based Lung Simulator

  Henn, S., Koehne, B., Männel, G. & Rostalski, P., 2023, In: Proceedings on Automation in Medical Engineering. Vol. 2 No. 1.

  Research output: Journal Articles › Conference Articles in Journals › Research › peer-review

• Towards Dual-Use Training Simulator in Interventional Neuroradiology

  Paulsen, B. A., Schwenke, H., Schramm, P., Männel, G. & Rostalski, P., 01.09.2023, In: Current Directions in Biomedical Engineering. 9, 1, p. 447-450 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • angiography 100%
  • blood flow 69%
  • body temperature 45%
  • X-radiation 42%
  • aneurysm 34%

• Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading

  Siebert, M., Grasshoff, J. & Rostalski, P., 2023, In: IEEE Access. 11, p. 146173-146184 12 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Uncertainty analysis 100%
  • Deep learning 73%
  • Uncertainty 51%
  • Screening 51%
  • Neural networks 24%
• 2022

  A real-time GP based MPC for quadcopters with unknown disturbances

  Schmid, N., Gruner, J., Abbas, H. S. & Rostalski, P., 2022, p. 2051-2056. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Model predictive control 100%
  • Computational complexity 81%

• Concept for the testing of automated functions in therapeutic medical devices Konzept für die Prüfung von autonomen Funktionen von therapeutischen Medizingeräten

  Henn, S., Kabuth, B., Schollemann, F., Hennigs, C., Männel, G., Angern, M. & Rostalski, P., 01.11.2022, In: At-Automatisierungstechnik. 70, 11, p. 946-956 11 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Biomedical equipment 100%
  • Automotive industry 89%
  • Design of experiments 85%
  • Failure modes 80%
  • Concretes 62%

• Control of a blower-based lung simulator for testing of mechanical ventilators

  Henn, S., Männel, G., Rostalski, P. & Pysik, D., 01.09.2022, In: Current Directions in Biomedical Engineering. p. 719-722 8(2).

  Research output: Journal Articles › Conference Articles in Journals › Research › peer-review

• Mathematical lung model for local gas exchange based on EIT-measurements

  Hennigs, C., Becher, T. & Rostalski, P., 01.08.2022, In: Current Directions in Biomedical Engineering. 8, 2, p. 376-379 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Tomography 100%
  • Acoustic impedance 76%
  • Partial pressure 61%
  • Gases 59%
  • Decision support systems 53%

• Model-based analysis and optimization of pressure-controlled ventilation of COPD patients in relation to BMI Model-based optimization of pressure-controlled ventilation of COPD patients

  Hennigs, C., Brehmer, K., Hardel, T. T. & Rostalski, P., 01.11.2022, In: At-Automatisierungstechnik. 70, 11, p. 957-967 11 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Chronic Obstructive Pulmonary Disease 100%
  • Ventilation 99%
  • Pressure 73%
  • Lung Diseases 50%
  • Weights and Measures 35%

• Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants

  Brugge, N., Graßhoff, J., Weigenand, A. & Rostalski, P., 27.04.2022, Proceedings of ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Ultradian Rhythm 100%
  • Premature Infants 60%
  • Sleep 48%
  • Sleep Stages 25%
  • Periodicity 23%

• Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation

  Siebert, M. & Rostalski, P., 2022, Medical Imaging 2022: Computer-Aided Diagnosis. Iftekharuddin, K. M., Drukker, K., Mazurowski, M. A., Lu, H., Muramatsu, C. & Samala, R. K. (eds.). SPIE

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Convolutional neural networks 100%
  • Transparency 75%
  • Masks 69%
  • Deep learning 65%
  • Data storage equipment 44%

• Recursively Feasible Model Predictive Control using Latent Force Models Applied to Disturbed Quadcopters

  Gruner, J., Schmid, N., Mannel, G., Grasshof, J., Abbas, H. S. & Rostalski, P., 2022, p. 1013-1020. 8 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Model predictive control 100%
  • Model structures 13%
  • Factorization 12%
  • Trajectories 8%
  • Controllers 6%

• Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

  Petersen, E., Potdevin, Y., Mohammadi, E., Zidowitz, S., Breyer, S., Nowotka, D., Henn, S., Pechmann, L., Leucker, M., Rostalski, P. & Herzog, C., 2022, In: IEEE Access. 10, p. 58375-58418 44 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Medicine 100%
  • Machine learning 73%
  • Learning systems 50%
  • Transparency 34%
  • Uncertainty 20%
  2 Citations (Scopus)

• Stochastic variational deep kernel learning based diabetic retinopathy severity grading

  Siebert, M., Tesmer, N. & Rostalski, P., 01.08.2022, In: Current Directions in Biomedical Engineering. 8, 2, p. 408-411 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Convolutional neural networks 100%
  • Deep learning 98%
  • Uncertainty 51%
  • Calibration 42%
  • Deep neural networks 26%
  1 Citation (Scopus)

• Teaching Estimation and Control via Probabilistic Graphical Models - An Intuitive and Problem-Based Approach

  Herzog né Hoffmann, C., Vollmer, F., Gruner, J. & Rostalski, P., 2022. 6 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Teaching 100%
  • Problem-Based Learning 65%
  • Students 42%
  • Message passing 30%
  • Parameter estimation 26%

• Towards Test Bench for Aspiration Catheters in Realistic Evaluation Scenarios

  Paulsen, B. A., Schwenke, H., Schramm, P., Männel, G. & Rostalski, P., 2022. 4 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2021

  A Hybrid Factor Graph Model for Biomedical Activity Detection.

  Stender, M., Graßhoff, J., Braun, T., Möller, R. & Rostalski, P., 2021, BHI. p. 1-4 4 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Electromyography 100%
  • Message passing 87%
  • Random variables 84%
  • Probability density function 79%
  • Probability distributions 77%

• Concept for the testing of automated functions in medical devices

  Henn, S., Männel, G., Rostalski, P. & Brendle, C., 06.2021, In: AUTOMED 2021.

  Research output: Journal Articles › Conference Articles in Journals › Research › peer-review

• Functional Safety Concept EGAS for Medical Devices

  Paulsen, B. A., Henn, S., Männel, G. & Rostalski, P., 10.2021, In: Current Directions in Biomedical Engineering. 7, 2, p. 739-742 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Biomedical equipment 100%
  • Risk management 16%
  • Industry 6%

• Probabilistische, modellbasierte Fehlerdiagnose für die Kavitäten des European XFEL

  Translated title of the contribution: Probabilistic model-based fault diagnosis for the cavities of the European XFELNawaz, A., Hoffmann, C. H. N., Graßhoff, J., Pfeiffer, S., Lichtenberg, G. & Rostalski, P., 25.06.2021, In: At-Automatisierungstechnik. 69, 6, p. 538-549 12 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Statistical Models 100%
  • Failure analysis 94%
  • Message passing 78%
  • X ray lasers 66%
  • Free electron lasers 56%
  2 Citations (Scopus)

• Responsible and Regulatory Conform Machine Learning for Medicine - A Survey of Technical Challenges and Solutions

  Petersen, E., Potdevin, Y., Mohammadi, E., Zidowitz, S., Breyer, S., Nowotka, D., Henn, S., Pechmann, L., Leucker, M., Rostalski, P. & Herzog, C., 2021, arXiv.

  Research output: Other contribution › Other › Research

• The effect of body mass index on pressure controlled ventilator settings

  Hennigs, C., Brehmer, K. & Rostalski, P., 2021. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review
• 2020

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

  Rostalski, P. & Schauer, T., 26.11.2020, In: At-Automatisierungstechnik. 68, 11, p. 911-912 2 p.

  Research output: Journal Articles › Editorial

• Model predictive control of an anesthia workstation ventilation unit

  Männel, G., Siebert, M., Kleinewalter, D., Brendle, C. & Rostalski, P., 2020, In: At-Automatisierungstechnik.

  Research output: Journal Articles › Conference Articles in Journals › Research › peer-review

• On the Estimation of Optoacoustic Waves in Retinal Laser Therapy Using Gaussian Processes

  Abbas, H. S., Graßhoff, J., Rostalski, P. & Brinkmann, R., 01.03.2020. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Photoacoustic effect 100%
  • Lasers 48%
  • Ultrasonic transducers 45%
  • Temperature measurement 33%
  • Tissue 27%

• Removing Cardiac Artifacts from Single-Channel Respiratory Electromyograms

  Petersen, E., Sauer, J., Grabhoff, J. & Rostalski, P., 2020, In: IEEE Access. 8, p. 30905-30917 13 p., 8988257.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Muscle 100%
  • Decomposition 30%
  • Artificial Respiration 29%
  • Surface measurement 26%
  • Diaphragms 23%

• Requirement Analysis for an Aerial Relay in Emergency Response Missions

  Gruner, J., Bloße, A., Rockstroh, M., Neumuth, T. & Rostalski, P., 01.09.2020, In: Current Directions in Biomedical Engineering. 6, 3, 20203005.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Cables 100%
  • Antennas 80%
  • Unmanned aerial vehicles (UAV) 38%
  • Electric power utilization 30%
  • Aircraft 29%

• Robust model predictive control of an anaesthesia workstation ventilation unit

  Männel, G., Siebert, M., Brendle, C. & Rostalski, P., 26.11.2020, In: At-Automatisierungstechnik. 68, 11, p. 941-952 12 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Artificial Respiration 100%
  • Model predictive control 72%
  • Ventilation 68%
  • Physiological models 55%
  • Uncertainty 45%

• Robust predictive control for respiratory CO₂gas removal in closed-loop mechanical ventilation: An in-silico study

  Schmal, M., Haueisen, J., Männel, G., Rostalski, P., Kircher, M., Bluth, T., Gama De Abreu, M. & Stender, B., 01.09.2020, In: Current Directions in Biomedical Engineering. 6, 3, 20203080.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Artificial Respiration 100%
  • Computer Simulation 99%
  • Partial Pressure 93%
  • Gases 88%
  • Lung 42%

• Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase

  Graßhoff, J., Jankowski, A. & Rostalski, P., 2020. 12 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Interpolation 100%
  • Scalability 94%
  • Data storage equipment 71%

• Spatio-Temporal Gaussian Processes for Separation of Ventilation and Perfusion Related Signals in EIT Data

  Graßhoff, J. & Rostalski, P., 16.02.2020. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Tomography 100%
  • Ventilation 98%
  • Acoustic impedance 76%
  • Artificial Respiration 47%
  • Tissue 29%

• Surface EMG-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control

  Petersen, E., Graßhoff, J., Eger, M. & Rostalski, P., 2020.

  Research output: Contribution to conference › Conference Papers › peer-review

• Tube-based MPC for Pressure Controlled Ventilation

  Männel, G., Siebert, M. & Rostalski, P., 01.02.2020. 2 p.

  Research output: Contribution to conference › Conference Papers › peer-review

  • Model predictive control 100%
  • Ventilation 94%
  • Trajectories 17%
  • Uncertainty 15%
  • Controllers 13%
• 2019

  A comprehensive mathematical model of motor unit pool organization, surface electromyography, and force generation

  Petersen, E. & Rostalski, P., 2019, In: Frontiers in Physiology. 10, MAR, 176.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Electromyography 100%
  • Theoretical Models 80%
  • Isometric Contraction 20%
  • Muscles 19%
  • Action Potentials 14%
  3 Citations (Scopus)

• Automatic Estimation of Respiratory Effort using Esophageal Pressure

  Grashoff, J., Petersen, E., Becher, T. & Rostalski, P., 07.2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 4646-4649 4 p. 8856345. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pressure 100%
  • Artifacts 74%
  • Ventilation 68%
  • Thoracic Wall 41%
  • Respiratory System 36%

• Combined Active and Passive Cancellation of Receive Chain Direct Feedthrough

  Beuke, J., Brandt, K., Malhotra, A., Behrends, A., Friedrich, T., Gräfe, K., Rostalski, P. & Buzug, T. M., 2019, 9th International Workshop on Magnetic Particle Imaging. p. 49-49 1 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

• Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram

  Bockelmann, N., Graßhoff, J., Hansen, L., Bellani, G., Heinrich, M. P. & Rostalski, P., 01.09.2019, In: Current Directions in Biomedical Engineering. 5, 1, p. 17-20 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Diaphragms 100%
  • Deep learning 82%
  • Catheters 38%
  • Electrodes 23%
  • Crosstalk 17%
  1 Citation (Scopus)

• Development of a Novel Low-cost Lung Function Simulator

  Bautsch, F., Männel, G. & Rostalski, P., 01.09.2019, In: Current Directions in Biomedical Engineering. 5, 1, p. 557-560 4 p.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Mechanical Ventilators 100%
  • Respiration 78%
  • Costs and Cost Analysis 59%
  • Lung 50%
  • Patient Simulation 45%

• Ethische Leitsätze für die Erforschung und Verwendung von Künstlicher Intelligenz an der Universität zu Lübeck

  Herzog, C., Rehmann-Sutter, C., Haase, J., Heinrich, M., Ernst, F., Rückert, E., König, I. R., Schrader, A., Heine, M., Madany Mamlouk, A., Franke, T., Rostalski, P. & Martinetz, T., 2019, Lübeck.

  Research output: Working Papers › Working papers

• Fault Detection Method for the SRF Cavities of the European XFEL

  Nawaz, A., Pfeiffer, S., Lichtenberg, G. & Rostalski, P., 2019.

  Research output: Contribution to conference › Conference Papers › peer-review

• Feasibility of Automated Vital Sign Instability Detection in Children Admitted to the Pediatric Intensive Care Unit

  Seidel, G., Murthy, S., Peters, C., Rostalski, P. & Görges, M., 09.2019, 2019 Computing in Cardiology (CinC). IEEE, 9005547. (Computing in Cardiology).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Pediatrics 100%
  • Intensive care units 97%
  • Deterioration 33%
  • Deep neural networks 17%

• Iterative Approximate Nonlinear Inference via Gaussian Message Passing on Factor Graphs

  Herzog Ne Hoffmann, C., Petersen, E. & Rostalski, P., 10.2019, In: IEEE Control Systems Letters. 3, 4, p. 978-983 6 p., 8723648.

  Research output: Journal Articles › Journal articles › Research › peer-review

  • Message passing 100%
  • Linearization 46%
  • Factorization 23%
  • Probability density function 22%
  • Nonlinear systems 19%
  1 Citation (Scopus)

• Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs

  Grashoff, J., Mannel, G., Abbas, H. S. & Rostalski, P., 12.2019, 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, p. 2708-2713 6 p. 9030032. (Proceedings of the IEEE Conference on Decision and Control).

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Model predictive control 100%
  • Spectral density 16%
  • White noise 13%
  • Model structures 13%
  • Covariance matrix 12%

• Study program "Robotics and autonomous systems" at the University of Lübeck

  Herzog, C., Hoffmann, N., Tantau, T. & Rostalski, P., 29.01.2019, 2018 12th European Workshop on Microelectronics Education (EWME). Braunschweig, DE: IEEE, p. 17-19 3 p.

  Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

  • Robotics 100%
  • Computer science 66%
  • Mechatronics 36%
  • Software architecture 34%
  • Teaching 29%