Jan Graßhoff

@Article{Siebert2023a,
author       = {Siebert, Marlin and Graßhoff, Jan and Rostalski, Philipp},
date         = {2023},
journaltitle = {IEEE Access},
title        = {Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading},
doi          = {10.1109/access.2023.3343642},
issn         = {2169-3536},
pages        = {146173--146184},
volume       = {11},
groups       = {Diabetes / DR, ML/DL},
publisher    = {Institute of Electrical and Electronics Engineers (IEEE)},
}

@inproceedings{HeScGrHaRo23,
  author  = {Hennigs, Carlotta and Schollemann, Franziska and Graßhoff, Jan and Hardel, Tim and Rostalski, Philipp},
  journal = {AUTOMED 2023},
  title   = {A simple mathematical lung model of Chronic Obstructive Pulmonary Disease (COPD)},
  year    = {2023}
}

@article{KoNePeGrMoMaMa22,
author = {Koo-Poeggel, Ping and Neuwerk, Soé and Petersen, Eike and Graßhoff, Jan and Mölle, Matthias and Martinetz, Thomas and Marshall, Lisa},
title = {Closed-loop acoustic stimulation during an afternoon nap to modulate subsequent encoding},
journal = {Journal of Sleep Research},
volume = {n/a},
number = {n/a},
pages = {e13734},
year = {2022},
doi = {https://doi.org/10.1111/jsr.13734}
}

@INPROCEEDINGS{Brugge2022-in,
  title           = "Multi-task Gaussian process regression for the detection
                     of sleep cycles in premature infants",
  booktitle       = "{ICASSP} 2022 - 2022 {IEEE} International Conference on
                     Acoustics, Speech and Signal Processing (ICASSP)",
  author          = "Brugge, Nele Sophie and Grasshoff, Jan and Weigenand, Arne
                     and Rostalski, Philipp",
  publisher       = "IEEE",
  month           =  may,
  year            =  2022,
  conference      = "ICASSP 2022 - 2022 IEEE International Conference on
                     Acoustics, Speech and Signal Processing (ICASSP)",
  location        = "Singapore, Singapore"
}

@inproceedings{BrGrWeRo22,
               title = {Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants},
               booktitle = {ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
               year = {2022},
               pages = {1341-1345},
               doi = {10.1109/ICASSP43922.2022.9747086},
               author = {Brügge, Nele Sophie and Graßhoff, Jan and Weigenand, Arne and Rostalski, Philipp}
}

@inproceedings{Boudnik2022,
  doi = {10.1109/embc48229.2022.9871723},
  url = {https://doi.org/10.1109/embc48229.2022.9871723},
  year = {2022},
  month = jul,
  publisher = {{IEEE}},
  author = {Lukas Boudnik and Jan GraBhoff and Felix Vollmer and Philipp Rostalski},
  title = {Muscle Artifact Removal in Single-Channel Electrocardiograms using Temporal Convolutional Networks},
  booktitle = {2022 44th Annual International Conference of the {IEEE} Engineering in Medicine & Biology Society ({EMBC})}
}

@INPROCEEDINGS{9992944,
  author={Gruner, Jonas and Schmid, Niklas and Männel, Georg and Grasshof, Jan and Abbas, Hossam S. and Rostalski, Philipp},
  booktitle={2022 IEEE 61st Conference on Decision and Control (CDC)}, 
  title={Recursively Feasible Model Predictive Control using Latent Force Models Applied to Disturbed Quadcopters}, 
  year={2022},
  pages={1013-1020},
  doi={10.1109/CDC51059.2022.9992944}}

@article{GrPeFaKuKaRo21,
author = {Graßhoff, Jan and Petersen, Eike and Farquharson, Franziska and Kustermann, Max and Kabitz, Hans-Joachim and Rostalski, Philipp and Walterspacher, Stephan},
year = {2021},
month = {12},
pages = {},
title = {Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes},
volume = {25},
number = {441},
journal = {Critical Care},
doi = {10.1186/s13054-021-03833-w}
}

@article{NaHeGrPfLiRo21,
author = {Nawaz, Ayla and Herzog, Christian and Graßhoff, Jan and Pfeiffer, Sven and Lichtenberg, Gerwald and Rostalski, Philipp},
doi = {10.1515/auto-2020-0064},
journal = {at - Automatisierungstechnik},
title = {Probabilistic model-based fault diagnosis for the cavities of the European XFEL},
year = {2021}
}

@INPROCEEDINGS{Stender2021-pp,
  title           = "A hybrid factor graph model for biomedical activity
                     detection",
  booktitle       = "2021 IEEE EMBS International Conference on Biomedical
                     and Health Informatics (BHI)",
  author          = "Stender, Mareike and Grashoff, Jan and Braun, Tanya and
                     Moller, Ralf and Rostalski, Philipp",
  publisher       = "IEEE",
  month           =  jul,
  year            =  {2021},
  copyright       = "https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html",
  conference      = "2021 IEEE EMBS International Conference on Biomedical and
                     Health Informatics (BHI)",
  location        = "Athens, Greece"
}

@inproceedings{StGrBrMoRo21,
  author={Stender, Mareike and Graßhoff, Jan and Braun, Tanya and Möller, Ralf and Rostalski, Philipp},
  booktitle={2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)},
  title={A Hybrid Factor Graph Model for Biomedical Activity Detection},
  year={2021},
  volume={},
  number={},
  pages={1-4},
  doi={10.1109/BHI50953.2021.9508594}
}

@inproceedings{KuGrOlBoRo21,
author = {Kusche, Roman and Graßhoff, Jan and Oltmann, Andra and Boudnik, Lukas and Rostalski, Philipp},
doi = {doi:10.1515/cdbme-2021-2041},
url = {https://doi.org/10.1515/cdbme-2021-2041},
title = {A Robust Multi-Channel EMG System for Lower Back and Abdominal Muscles Training},
journal = {Current Directions in Biomedical Engineering},
number = {2},
volume = {7},
year = {2021},
pages = {159--162}
}

@inproceedings{PrGrRo21,
author = {Prüßmann, Jannik and Graßhoff, Jan and Rostalski, Philipp},
doi = {doi:10.1515/cdbme-2021-2073},
url = {https://doi.org/10.1515/cdbme-2021-2073},
title = {Exploitation of Kronecker Structure in Gaussian Process Regression for Efficient Biomedical Signal Processing},
journal = {Current Directions in Biomedical Engineering},
number = {2},
volume = {7},
year = {2021},
pages = {287--290}
}

@inproceedings{GrRo20,
author = {Jan Graßhoff and Philipp Rostalski},
title = {Spatio-Temporal Gaussian Processes for Separation of Ventilation and Perfusion Related Signals in EIT Data},
year = {2020},
booktitle = {Proc. Workshop Automed}
}

@inproceedings{PeGrEgRo20,
  author    = {Petersen, Eike and Graßhoff, Jan and Eger, Marcus and Rostalski, Philipp},
  booktitle = {{Proceedings of the 21st IFAC World Congress}},
  title     = {Surface {EMG}-based Estimation of Breathing Effort for Neurally Adjusted Ventilation Control},
  year      = {2020}
}

@Article{PeSaGrRo20,
  author    = {Petersen, Eike and Sauer, Julia and Graßhoff, Jan and Rostalski, Philipp},
  title     = {Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms},
  journal   = {{IEEE} Access},
  year      = {2020},
  volume    = {8},
  pages     = {30905--30917},
  doi       = {10.1109/access.2020.2972731},
  groups    = {ECG Removal from EMG recordings},
  publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}
}

@inproceedings{GrJaRo20,
author = {Graßhoff, Jan and Jankowski, Alexandra and Rostalski, Philipp},
title = {Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase},
booktitle = {Proceedings of the 37th International Conference on International Conference on Machine Learning (ICML)},
year = {2020}
}

@INPROCEEDINGS{AbGrRoBr20, 
author={Abbas, Hossam S. and Graßhoff, Jan and Rostalski, P. and Brinkmann, R.}, 
booktitle={Proc. Workshop Automed}, 
title={{On the Estimation of Optoacoustic Waves in Retinal Laser Therapy Using Gaussian Processes}}, 
year={2020},  
pages={}, 
address={Lübeck, Germany},
month={March}
}

@inproceedings{BoGrHaHeRo19,
  author    = {Niclas Bockelmann and Jan Graßhoff and Lasse Hansen and Mattias Heinrich and Philipp Rostalski},
  title     = {Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram},
  booktitle = {Directions in Biomedical Engineering},
  year      = {2019},
  publisher = {De Gruyter},
  pages     = {17--20},
  volume    = {5},
  number    = {1}
}

@inproceedings{GrMaAbRo19,
author={Jan Graßhoff and Georg Männel and Hossam S. Abbas and Philipp Rostalski},
booktitle={58th IEEE Conference on Decision and Control (CDC)},
title={Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs},
year={2019},
doi={10.1109/cdc40024.2019.9030032},
month={Dec}}

@misc{GrBeRo18,
  author    = {Graßhoff, Jan and Bellani, Giacomo and Rostalski, Philipp},
  title     = {{A Tool for Automatic Heart Rate Detection and Removal of Cardiogenic Artifacts in Oesophegeal Pressure Recordings}},
  year      = {2018},
  booktitle = {{ESICM Lives Forum - Monitoring in Acute Respiratory Failure}},
}

@misc{GrPeRo18,
  author    = {Graßhoff, Jan and Petersen, Eike and Rostalski, Philipp},
  title     = {{Removing Strong ECG Interference from EMG Measurements}},
  year      = {2018},
  booktitle = {{Workshop Biosignale 2018, "Innovative Verarbeitung bioelektrischer und biomagnetischer Signale"}},
}

@inproceedings{GrPeEgBe17,
 author = {Graßhoff, Jan and Petersen, Eike and Eger, Marcus and Bellani, Giacomo and Rostalski, Philipp},
 abstract = {Esophageal pressure (Pes) is usually measured in patients receiving mechanical ventilation and is used for the assessment of lung mechanics. However, its interpretation is complicated by the presence of cardiogenic oscillations (CGO). In this article we present a novel method for the reduction of CGO based on the identification of pressure templates. Similar approaches are known for the removal of electrocardiographic (ECG) artifacts from the electromyogram (EMG). The proposed method is tested on clinical recordings of patients under assisted spontaneous ventilation. Besides the improvement of the respiratory signals, the identified CGO templates can be used diagnostically when viewed in relation to corresponding ECG data. This approach is illustrated on a few sample datasets.},
 title = {{A Template Subtraction Method for the Removal of Cardiogenic Oscillations on Esophageal Pressure Signals}},
 year = {2017},
 booktitle = {Proc. 39th Ann. Int. Conf. Eng. Med. Biol. Soc.}
}

@inproceedings{GrMaRo17,
 author = {Graßhoff, Jan and M{\"a}nnel, Georg and Rostalski, Philipp},
 abstract = {},
 title = {{Nonparametric modeling of quasi-periodic signals -- application to esophageal pressure filtering}},
 pages = {356--363},
 volume = {62},
 series = {Biomedical Engineering / Biomedizinische Technik, Abstract and Poster in Session 6. Biosignal Processing and Monitoring I},
 year = {2017},
 booktitle = {Ann. Conf. German Soc. Biomed. Eng.}
}

@misc{GrRo17,
 author = {Graßhoff, Jan and Rostalski, Philipp},
 abstract = {},
 year = {2017},
 title = {{Estimation of Respiratory Mechanics by Automatic Analysis of the Campbell Diagram}},
 series = {{PLUG (Pleural Pressure Working Group)}}
}

@phdthesis{Gr17,
 author = {Graßhoff, Jan},
 abstract = {},
 year = {2017},
 title = {{Model-based Estimation of Respiratory Effort Using Esophageal Pressure}},
 school = {{Universit{\"a}t zu L{\"u}beck}},
 type = {{Master's Thesis}},
 keyword = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski},
 keywords = {ThesisAtIME; SupervisedByEPetersen; SupervisedByPRostalski}
}