Madeleine Flaucher

Madeleine Flaucher, 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
91052 Erlangen

Phone number: +49 9131 85-20286
Email: madeleine.flaucher@fau.de

Academic CV

Since 04/2021	Researcher and Ph.D. candidate Machine Learning and Data Analytics Lab Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2018 – 02/2021	M. Sc. in Medical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master Thesis: “Smartphone-Based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care”
10/2014-09/2018	B. Sc. in Biomedical Engineering Ostbayerische Technische Hochschule Regensburg (OTH) Bachelor Thesis: “Zerebrale Aneurysmen: Entwicklung eines Werkzeugs zur Rekonstruktion der Ursprungsgeometrie und vergleichende CFD Berechnungen”

Publications

2023

Flaucher M., Zakreuskaya A., Jäger K., Richer R., Smeddinck JD., Kumar D., Grimme S., Klein J., Hrynyschyn R., Eskofier B., Leutheuser H.:
Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
Mensch und Computer 2023 (Rapperswil, 3. September 2023 - 6. September 2023)
In: Workshopband 2023
DOI: 10.18420/muc2023-mci-ws14-117
BibTeX: Download
Flaucher M., Zakreuskaya A., Nissen M., Mocker A., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
In: Oncologist (2023)
ISSN: 1083-7159
DOI: 10.1093/oncolo/oyad217
BibTeX: Download
Nissen M., Barrios Campo N., Flaucher M., Jäger K., Titzmann A., Blunck D., Fasching P., Engelhardt V., Eskofier B., Leutheuser H.:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data
In: npj Digital Medicine 6 (2023), Article No.: 189
ISSN: 2398-6352
DOI: 10.1038/s41746-023-00935-3
BibTeX: Download

2022

Flaucher M., Nissen M., Jäger K., Titzmann A., Pontones C., Hübner H., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care
In: IEEE Journal of Translational Engineering in Health and Medicine (2022), p. 1-9
ISSN: 2168-2372
DOI: 10.1109/JTEHM.2022.3179147
BibTeX: Download
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

Research Projects

digiOnko: digionko-bayern.de

Teaching

Human-Computer-Interaction

Student Theses

Year	Name	Title
2022	Sabrina Berzins	Increasing Health Literacy through Patient-centered Knowledge Transfer within a Digital Health Application (Master’s Thesis)
2022	Florian Prümer	Motivational UI: Enhancing Adherence and Engagement of Heart Failure Patients within a Digital Health Application (Master’s Thesis)
2022	Jonas Gruber	Influence of Different Stimulus Intensities of Cold Air on Driver Drowsiness (Master’s Thesis, Co-Supervision)
2023	Nuria Barrios Campo	Retrospective Analysis of Self-reported Symptoms and Usage Data in a Digital Health Application (Master’s Thesis, Co-Supervision)
2023	Michael Brock	Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care (Master’s Thesis, Co-Supervision)
2023	Ahmed Abdelhamid	Boosting the meaningfulness and interpretability of brain graph-theoretical data by interactive VR visualizations (Master’s Thesis, Co-Supervision)
2023	Julia Hafenbrak	Confidential (Bachelor’s Thesis, Co-Supervision)
2023	Juliane Ort	Enhancing User Engagement in a Breast Cancer Prevention App: User-Centered Design Features to Promote Preventive Behavior (Master’s Thesis)
2023	Caspar Siemssen	Development of a Mobile Application for Assessing Quality of Life in Breast Cancer Patients: Study on Usability and User Preferences (Bachelor’s Thesis)