Dr. 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

  • Transparent AI and Deep Learning
  • Biomedical signal and image analysis

Current Projects

  • KiMeKo (Ki-Med Kollaborationsplattform)

Past Projects

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

 

Curriculum Vitae

Marlin Siebert received the B.Sc. and M.Sc. degrees in medical engineering science from Universität zu Lübeck, Lübeck, Germany, in 2017 and 2019, respectively. From 2015 to 2019, he intermittently worked as a Research Assistant at the Institute for Medical Engineering and the Institute for Medical Informatics, Universität zu Lübeck. In 2018, he worked as an intern with the Research Team at Dräger AG & Co. KGaA, Lübeck. From 2020 to 2025, he has been associated with the Institute for Electrical Engineering in Medicine as an Associate Researcher and doctoral candidate on deep learning-based image analysis for patient-safe and trustworthy medical diagnostics. He received his doctoral degree from the Universität zu Lübeck in February 2025. Since then, he is working as postdoctoral research scientist at the Institute for Electrical Engineering in Medicine on probabilistic data fusion and digital twins for AI-Med applications. He received the Prof. Dr. Werner Petersen-Preis der Technik 2020 and the WGKT-Innovationspreis 2020 both for his outstanding master's thesis and was awarded at the DGBMT Student Competition in 2022.

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, Jan Graßhoff, and Philipp Rostalski,
Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading, 2023.
Bibtex: BibTeX
@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)},
}
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, Aug. 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}
}
P. Rostalski, and Marlin Siebert,
Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation, in Medical Imaging 2022: Computer-Aided Diagnosis , Karen Drukker and Khan M. Iftekharuddin and Hongbing Lu and Maciej A. Mazurowski and Chisako Muramatsu and Ravi K. Samala, Eds. SPIE, 2022. pp. 806-817.
DOI:10.1117/12.2611796
File: SiRo22.pdf
Bibtex: BibTeX
@inproceedings{SiRo22,
author = {M. Siebert and P. Rostalski},
title = {{Performance evaluation of lightweight convolutional neural networks on retinal lesion segmentation}},
volume = {12033},
booktitle = {Medical Imaging 2022: Computer-Aided Diagnosis},
editor = {Karen Drukker and Khan M. Iftekharuddin and Hongbing Lu and Maciej A. Mazurowski and Chisako Muramatsu and Ravi K. Samala},
organization = {International Society for Optics and Photonics},
publisher = {SPIE},
pages = {806 -- 817},
keywords = {diabetic retinopathy, deep learning , multi-lesion segmentation, U-Net, fundus image, mobile segmentation},
year = {2022},
doi = {10.1117/12.2611796},
URL = {https://doi.org/10.1117/12.2611796}
}
Georg Männel, Marlin Siebert, and Philipp Rostalski,
Tube-based MPC for Pressure Controlled Ventilation, in Proceedings on Automation in Medical Engineering , Feb.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}
}
Georg Männel, Marlin Siebert, Dennis Kleinewalter, Christian Brendle, and Philipp Rostalski,
Robust Model Predictive Control of an Anaesthesia Workstation Ventilation Unit, 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,
Model Predictive Control of an Anaesthesia Workstation Ventilation Unit, 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}
}
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}
}