Katharina Jäger

Katharina Jäger, M. Sc.

Researcher & PhD Candidate

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

Room 01.019
Carl-Thiersch-Straße 2b
91054 Erlangen

Phone number: +49 9131 85 20286
Email: katharina.jaeger@fau.de
Website: https://www.mad.tf.fau.de/person/katharina-jager/

LinkedIn: Page of Katharina Jäger

Academic CV

since 09/2020	Researcher and PhD Candidate Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2017-05/2020	M.Sc. in Medical Engineering, “Medical Image and Data Processing” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Pattern Recognition, Image Processing, Biomedical Signal Processing, Deep Learning Master’s Thesis: “Detecting Labor in Pregnant Women with a Wearable Pregnancy Tracker using Machine Learning”
06/2019-12/2019	Research Intern and Master’s Thesis Bloomlife, Belgium
11/2016-06/2019	Working Student Magnetic Resonance Imaging, Siemens Healthineers
08/2015-04/2016	Scientific Assistant Chair of Multimedia Communications and Signal Processing Department of Electrical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2013-04/2017	B.Sc. in Medical Engineering, “Medical Imaging Systems” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Majors: Image and Signal Processing, Embedded Systems Bachelor’s Thesis: “Development of an ImageJ Plugin to automatically detect variations in vessel diameters”

Research Projects

SMART Start

Publications

2022

Nissen M., Slim S., Jäger K., Flaucher M., Hübner H., Danzberger N., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
In: JMIR Formative Research 6 (2022), p. e33635
ISSN: 2561-326X
DOI: 10.2196/33635
BibTeX: Download

2021

Dörflinger L., Nissen M., Jäger K., Wirth M., Titzmann A., Pontones C., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives
MuC '21: Mensch und Computer 2021 (Ingolstadt, 5. September 2021 - 8. September 2021)
In: Mensch und Computer 2021 2021
DOI: 10.1145/3473856.3473994
BibTeX: Download

Teaching

Keine passenden Datensätze gefunden.

Student Theses

Year	Name	Title
2022	Luisa Graf	tbd
2022	Siri Pflüger	tbd
2021	Carlos Perez	Usability Aspects of Pregnancy Applications and Digital Maternity Records (Master’s Thesis)
2021	Simone Rahm	group:Fetal Heart Rate Extraction from Wearable Non-Invasive Electrocardiogram Devices (Master’s Thesis)
2020	Luisa Dörflinger	group:Digital Maternity Records: Physician’s Perspective on Motivation and Usability (Bachelor’s Thesis)