Franziska Bilda (née Schollemann)

Institute for Electrical Engineering in Medicine
Universität zu Lübeck
Moislinger Allee 53-55
23558 Lübeck
Gebäude 19

Email:	franziska.bilda(at)uni-luebeck.de
Phone:	+49 451 3101 6234

Research

Research Interests

Physiological Modelling

Current Projects

TANDEM III-CIC

Curriculum Vitae

Franziska Schollemann holds a B.Sc. degree in Electrical Engineering, Information Technology and Computer Engineering from RWTH Aachen University, since 2016. In 2018, she received her M.Sc. degree also in Electrical Engineering, Information Technology and Computer Engineering from RWTH Aachen University.

Publications

Carlotta Hennigs, Franziska Schollemann, Jan Graßhoff, Tim Hardel, and Philipp Rostalski,
A simple mathematical lung model of Chronic Obstructive Pulmonary Disease (COPD), 2023.

Bibtex:

@inproceedings{HeScGrHaRo23,
  author  = {Hennigs, Carlotta and Schollemann, Franziska and Graßhoff, Jan and Hardel, Tim and Rostalski, Philipp},
  journal = {AUTOMED 2023},
  title   = {A simple mathematical lung model of Chronic Obstructive Pulmonary Disease (COPD)},
  year    = {2023}
}

Stephan Dahlmanns, Stefanie Reich-Schupke, Franziska Schollemann, Markus Stücker, Steffen Leonhardt, and Daniel Teichmann,
Classification of chronic venous diseases based on skin temperature patterns, Physiological Measurement , vol. 42, no. 4, pp. 045001, Apr. 2021.

DOI:

10.1088/1361-6579/abf020

File:

abf020

Bibtex:

@article{dahlmanns_classification_2021,
               title = {Classification of chronic venous diseases based on skin temperature patterns},
               volume = {42},
               issn = {0967-3334, 1361-6579},
               url = {https://iopscience.iop.org/article/10.1088/1361-6579/abf020},
               doi = {10.1088/1361-6579/abf020},
               number = {4},
               urldate = {2021-05-31},
               journal = {Physiological Measurement},
               author = {Dahlmanns, Stephan and Reich-Schupke, Stefanie and Schollemann, Franziska and Stücker, Markus and Leonhardt, Steffen and Teichmann, Daniel},
               month = apr,
               year = {2021},
               pages = {045001},
}

[en] Franziska Schollemann, Carina Barbosa Pereira, Stefanie Rosenhain, Andreas Follmann, Felix Gremse, Fabian Kiessling, Michael Czaplik, and Mauren Souza,
An Anatomical Thermal 3D Model in Preclinical Research: Combining CT and Thermal Images, Sensors , vol. 21, no. 4, pp. 1200, Feb. 2021.

DOI:

10.3390/s21041200

File:

1200

Bibtex:

@article{schollemann_anatomical_2021,
title = {An {Anatomical} {Thermal} {3D} {Model} in {Preclinical} {Research}: {Combining} {CT} and {Thermal} {Images}},
               volume = {21},
               issn = {1424-8220},
               shorttitle = {An {Anatomical} {Thermal} {3D} {Model} in {Preclinical} {Research}},
               url = {https://www.mdpi.com/1424-8220/21/4/1200},
               doi = {10.3390/s21041200},
               language = {en},
               number = {4},
               urldate = {2021-05-31},
               journal = {Sensors},
               author = {Schollemann, Franziska and Barbosa Pereira, Carina and Rosenhain, Stefanie and Follmann, Andreas and Gremse, Felix and Kiessling, Fabian and Czaplik, Michael and Abreu de Souza, Mauren},
               month = feb,
               year = {2021},
               pages = {1200},
               file = {Volltext:C\:\\Users\\FranziskaSchollemann\\Zotero\\storage\\5UT3JNGY\\Schollemann et al. - 2021 - An Anatomical Thermal 3D Model in Preclinical Rese.pdf:application/pdf},
}

Franziska Schollemann,
Development of Segmentation Algorithms for the automated Feature Extraction in Thermographic Images of Lower Limbs with impaired Perfusion, {Master Thesis}, RWTH Aachen University, 2018.

Bibtex:

@thesis{master_schollemann,
author = {Schollemann, Franziska},
title = {{ Development of Segmentation Algorithms for the automated Feature Extraction in Thermographic Images of Lower Limbs with impaired Perfusion }},
school = {{RWTH Aachen University }},
publisher = {{ Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering at RWTH Aachen University }},
type = {{Master Thesis}}
year = {2018},
}

Franziska} {Schollemann,
NMF with Adapted Constraints for Audio Source Separation of Different Signal Types, {Bachelor Thesis}, RWTH Aachen University, 2016.

Bibtex:

@thesis{bachelor_schollemann,
author = {{Schollemann, Franziska}},
title = {{ NMF with Adapted Constraints for Audio Source Separation of Different Signal Types}},
school = {{RWTH Aachen University }},
publisher = {{  Institute and Chair for Communications Engineering at RWTH Aachen University }},
type = {{Bachelor Thesis}}
year = {2016},
}