Marlin Siebert

Photo of Marlin  Siebert

Research Associate


Institute for Electrical Engineering in Medicine
Universität zu Lübeck
Moislinger Allee 53-55
23558 Lübeck
Gebäude 19

Email: m.siebert(at)uni-luebeck.de
Phone: +49 451 3101 6220

 

Research

Research interests

  • AI and Deep Learning
  • Biomedical signal and image analysis

Current Projects

  • PASBADIA (Patientennahe Smartphone-basierte Diagnostik mit lokaler und zentraler KI-Plattform für die Primärversorgung im ländlichen Raum)

 

Curriculum Vitae

Marlin Siebert holds a B.Sc. degree in Medical Engineering Science from Universität zu Lübeck, since 2017. His bachelor’s thesis contributed to the active power regulation of treatment lasers for the temperature-controlled photocoagulation of the retina. Completing his master thesis on the optimization and robustification of the model predictive control to the ventilation system of an anaesthesia workstation in 2019, he received the M.Sc. degree also in Medical Engieering Science at the University of Lübeck two years later. In 2018 he was an intern at Drägerwerk AG & Co. KGaA in the department for research and development and worked on medical deep learning.
Since 2020 he is employed as research associate at the Institute for Electrical Engineering in Medicine at the Universität zu Lübeck.


Publications

Julia Sauer, Marlin Siebert, Lukas Boudnik, Niklas M Carbon, Stephan Walterspacher, and Philipp Rostalski,
Signal quality evaluation of single-channel respiratory sEMG recordings, Biomedical Signal Processing and Control , vol. 87, pp. 105414, 2024.
DOI:https://doi.org/10.1016/j.bspc.2023.105414
Bibtex: BibTeX
@article{Sauer2024,
title = {Signal quality evaluation of single-channel respiratory sEMG recordings},
journal = {Biomedical Signal Processing and Control},
volume = {87},
pages = {105414},
year = {2024},
issn = {1746-8094},
doi = {https://doi.org/10.1016/j.bspc.2023.105414},
url = {https://www.sciencedirect.com/science/article/pii/S1746809423008479},
author = {Julia Sauer and Marlin Siebert and Lukas Boudnik and Niklas M. Carbon and Stephan Walterspacher and Philipp Rostalski},
keywords = {Surface electromyography, Quality evaluation, Signal-to-disturbance ratio, Respiration}
}
Marlin Siebert, Nikolay Tesmer, and Philipp Rostalski,
Stochastic variational deep kernel learning based diabetic retinopathy severity grading, Current Directions in Biomedical Engineering , vol. 8, no. 2, pp. 408--411, 2022. Walter de Gruyter {GmbH}.
DOI:10.1515/cdbme-2022-1104
File: 10.1515%2Fcdbme-2022-1104
Bibtex: BibTeX
@article{Siebert_2022,
	doi = {10.1515/cdbme-2022-1104},
	url = {https://doi.org/10.1515%2Fcdbme-2022-1104},
	year = {2022},
	month = {aug},
	publisher = {Walter de Gruyter {GmbH}},
	volume = {8},
	number = {2},
	pages = {408--411},
	author = {Marlin Siebert and Nikolay Tesmer and Philipp Rostalski},
	title = {Stochastic variational deep kernel learning based diabetic retinopathy severity grading},
	journal = {Current Directions in Biomedical Engineering}
}
Georg Männel, Marlin Siebert, Dennis Kleinewalter, Christian Brendle, and Philipp Rostalski,
{R}obust {M}odel {P}redictive {C}ontrol of an {A}naesthesia {W}orkstation {V}entilation {U}nit, at - Automatisierungstechnik , 2020.
Bibtex: BibTeX
@article{MaSiKlBrRo20,
  author  = {Männel, Georg and Siebert, Marlin and Kleinewalter , Dennis and Brendle, Christian and Rostalski, Philipp},
  journal = {at - Automatisierungstechnik},
  title   = {{R}obust {M}odel {P}redictive {C}ontrol of an {A}naesthesia {W}orkstation {V}entilation {U}nit},
  year    = {2020}
}
Georg Männel, Marlin Siebert, Dennis Kleinewalter, Christian Brendle, and Philipp Rostalski,
{M}odel {P}redictive {C}ontrol of an {A}naesthesia {W}orkstation {V}entilation {U}nit, in 21st IFAC World Congress , 2020.
Bibtex: BibTeX
@article{MaSiKlBrRo20,
  author  = {Männel, Georg and Siebert, Marlin and Kleinewalter , Dennis and Brendle, Christian and Rostalski, Philipp},
  journal = {at - Automatisierungstechnik},
  title   = {{R}obust {M}odel {P}redictive {C}ontrol of an {A}naesthesia {W}orkstation {V}entilation {U}nit},
  year    = {2020}
}
Georg Männel, Marlin Siebert, and Philipp Rostalski,
{T}ube-based {MPC} for {P}ressure {C}ontrolled {Ve}ntilation, in Proceedings on Automation in Medical Engineering , 2020.
Bibtex: BibTeX
@InProceedings{MaSiRo20,
  author    = {M{\"a}nnel, Georg and Siebert, Marlin and Rostalski, Philipp},
  booktitle = {Proceedings on Automation in Medical Engineering},
  title     = {{T}ube-based {MPC} for {P}ressure {C}ontrolled {Ve}ntilation},
  year      = {2020},
  month     = feb,
  number    = {1},
  volume    = {1},
 keyword = {ResearchTopicRespMoCo},
 keywords = {ResearchTopicRespMoCo}
}
Lasse Hansen, Marlin Siebert, Jasper Diesel, and Mattias P. Heinrich,
Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room, International Journal of Computer Assisted Radiology and Surgery , vol. 14, no. 11, pp. 1871-1879, 2019. Springer.
Bibtex: BibTeX
@article{HaSiDiHe19,
title={Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room},
author={Hansen, Lasse and Siebert, Marlin and Diesel, Jasper and Heinrich, Mattias P.},
journal={International Journal of Computer Assisted Radiology and Surgery},
volume={14},
number={11},
pages={1871-1879},
year={2019},
publisher={Springer}
}
Marlin Siebert,
{Optimization and Robustification of the Model Predictive Control to the Ventilation System of an Anaesthesia Workstation}, {Master's Thesis}, {Universität zu Lübeck}, 2019.
Bibtex: BibTeX
@phdthesis{Si19,
author = {Siebert, Marlin},
abstract = {},
year = {2019},
title = {{Optimization and Robustification of the Model Predictive Control to the Ventilation System of an Anaesthesia Workstation}},
school = {{Universität zu Lübeck}},
publisher = {{Master's Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck}},
type = {{Master's Thesis}},
keyword = {ThesisAtIME; SupervisedByPRostalski; SupervisedByGMaennel},
keywords = {ThesisAtIME; SupervisedByPRostalski; SupervisedByGMaennel}
}
Christian Herzog, Ole Thomsen, Benedikt Schmarbeck, Marlin Siebert, and Ralf Brinkmann,
{Temperature-Controlled Laser Therapy of the Retina via Robust Adaptive ℋ∞-Control}, {at - Automatisierungstechnik, Invited Article in Special Issue "AUTOMED 2018"} , vol. 66, no. 12, pp. 1051--1063, 2018.
DOI:10.1515/auto-2018-0066
Bibtex: BibTeX
@article{HeThScSiBr18,
 author = {Herzog, Christian and Thomsen, Ole and Schmarbeck, Benedikt and Siebert, Marlin and Brinkmann, Ralf},
 year = {2018},
 title = {{Temperature-Controlled Laser Therapy of the Retina via Robust Adaptive ℋ∞-Control}},
 journal = {{at - Automatisierungstechnik, Invited Article in Special Issue "AUTOMED 2018"}},
 doi = {10.1515/auto-2018-0066},
 issn = {0178-2312},
 number = {12},
 pages = {1051--1063},
 volume = {66},
 year = {2018}
}
Ole Thomsen, Benedikt Schmarbeck, Marlin Siebert, Ralf Brinkmann, and Christian Hoffmann,
{Leistungsgesteuerte temperaturüberwachte Lasertherapie der Netzhaut mittels adaptiv robuster ℋ∞-Regelung}, in {Proc. Workshop Automed} , 2018.
Bibtex: BibTeX
@inproceedings{ThScSiBrHo18,
 author = {Thomsen, Ole and Schmarbeck, Benedikt and Siebert, Marlin and Brinkmann, Ralf and Hoffmann, Christian},
 abstract = {},
 title = {{Leistungsgesteuerte temperatur{\"u}berwachte Lasertherapie der Netzhaut mittels adaptiv robuster ℋ∞-Regelung}},
 year = {2018},
 booktitle = {{Proc. Workshop Automed}}
}


Marlin Siebert,
{Aktive Leistungsregelung des Behandlungslasers für die kontrollierte Photokoagulation der Netzhaut}, {Bachelor Thesis}, {Universität zu Lübeck}, 2016.
Bibtex: BibTeX
@phdthesis{Si16,
 author = {Siebert, Marlin},
 abstract = {},
 year = {2016},
 title = {{Aktive Leistungsregelung des Behandlungslasers f{\"u}r die kontrollierte Photokoagulation der Netzhaut}},
 school = {{Universit{\"a}t zu L{\"u}beck}},
 publisher = {{Bachelor Thesis at the Institute for Electrical Engineering in Medicine, University of Lübeck}},
 type = {{Bachelor Thesis}},
 keyword = {ThesisAtIME; SupervisedByCHoffmann; SupervisedByRBrinkmann},
 keywords = {ThesisAtIME; SupervisedByCHoffmann; SupervisedByRBrinkmann}
}