Marie Oesten | MaD Lab

Marie Oesten, M. Sc.

Researcher & Doctoral Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany

Email: marie.oesten@fau.de

since 04/2024	Researcher & Doctoral Candidate Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Department of Palliative Medicine, University Hospital Erlangen (UKER)
02/2023-02/2024	Student Assistant Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
01/2022-11/2022 and 10/2020-08/2021	Working Student Corscience GmbH & Co. KG
09/2021-12/2021	Studies abroad University of Oulu (Finland)
10/2020-01/2024	M.Sc. in Medical Engineering, “Medical Image and Data Processing” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: Radar-Based Investigation of Pulse Wave and Heart Sound Propagation
06/2019-12/2019 and 07/2017-07/2018	Student Assistant Bioanalytics Lab, Landshut University of Applied Sciences
06/2019-01/2020	Working Student DRÄXLMAIER Group
09/2018-03/2019	Internship Drägerwerk AG & Co.KGaA
10/2016-08/2020	B.Eng. in Biomedical Engineering Landshut University of Applied Sciences Bachelor’s Thesis: Optimization of a module-based analysis algorithm for the detection of defibrillable heart rhythms

EmpkinS Assessment of Movement as Biomarkers for Palliative Patients (D05)

2025

Grießhammer SG., Malessa A., Lu H., Yip J., Leuschner J., Christgau F., Albrecht NC., Oesten M., Truc Tran T., Richer R., Heckel M., Eskofier B., Koelpin A., Steigleder T., Ostgathe C.:
Correction to: Contactless radar-based heart rate estimation in palliative care – a feasibility study and possible use in symptom management (BMC Palliative Care, (2024), 23, 1, (273), 10.1186/s12904-024-01592-3)
In: BMC Palliative Care 24 (2025), Article No.: 113
ISSN: 1472-684X
DOI: 10.1186/s12904-025-01741-2
BibTeX: Download
Oesten M., Abel L., Albrecht NC., Richer R., Langer D., Grießhammer S., Ghanem K., Steigleder T., Ostgathe C., Koelpin A., Eskofier B.:
Systematic Investigation of Heart Sound Propagation using Continuous Wave Radar
In: IEEE Journal of Biomedical and Health Informatics (2025)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2025.3530821
BibTeX: Download

2024

Grießhammer S., Malessa A., Lu H., Yip J., Leuschner J., Christgau F., Albrecht NC., Oesten M., Tran TT., Richer R., Heckel M., Eskofier B., Kölpin A., Steigleder T., Ostgathe C.:
Contactless radar-based heart rate estimation in palliative care – a feasibility study and possible use in symptom management
In: BMC Palliative Care 23 (2024), Article No.: 273
ISSN: 1472-684X
DOI: 10.1186/s12904-024-01592-3
BibTeX: Download

2023

Oesten M., Richer R., Abel L., Rohleder N., Eskofier B.:
VoStress – Voice-based Detection of Acute Psychosocial Stress
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, 15. October 2023 - 18. October 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
DOI: 10.1109/BHI58575.2023.10313458
URL: https://www.mad.tf.fau.de/files/2023/12/oesten23_stress_detection_voice.pdf
BibTeX: Download

Marie Oesten: Vera-Dammann-Preis 2024, 1. Platz (fachverband biomedizinische technik (fbmt)) – 2024
Marie Oesten: VDE Bayern Award (VDE Bayern e.V.) – 2024

Year	Type	Student	Titel