Marie Oesten
Marie Oesten, M. Sc.

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
Germany
- Email: marie.oesten@fau.de
since 04/2024 | Researcher & Doctoral Candidate
Machine Learning and Data Analytics Lab, |
02/2023-02/2024 | Student Assistant
Machine Learning and Data Analytics Lab |
01/2022-11/2022 and 10/2020-08/2021 | Working Student |
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) |
06/2019-12/2019 and 07/2017-07/2018 | Student Assistant
Bioanalytics Lab, |
06/2019-01/2020 | Working Student |
09/2018-03/2019 | Internship |
10/2016-08/2020 | B.Eng. in Biomedical Engineering
Landshut University of Applied Sciences |
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: VDE Bayern Award (VDE Bayern e.V.) – 2024
Year | Type | Student | Titel |