Franziska Schollemann, M. Sc.


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

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

 

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

Journal Publications

2021

  • Dahlmanns, Stephan and Reich-Schupke, Stefanie and Schollemann, Franziska and Stücker, Markus and Leonhardt, Steffen and Teichmann, Daniel: Classification of chronic venous diseases based on skin temperature patterns. Physiological Measurement, no. 42, pp. 045001, apr,, 2021
    BibTeX Link
    @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},
    }
    
  • 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: An Anatomical Thermal 3D Model in Preclinical Research: Combining CT and Thermal Images. Sensors, no. 21, pp. 1200, feb,, 2021
    BibTeX Link
    @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},
    }
    

Thesis

2018

  • Schollemann, Franziska: Development of Segmentation Algorithms for the automated Feature Extraction in Thermographic Images of Lower Limbs with impaired Perfusion. Medical Information Technology (MedIT), Helmholtz-Institute for Biomedical Engineering at 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},
    }
    

2016

  • Schollemann, Franziska: NMF with Adapted Constraints for Audio Source Separation of Different Signal Types. Institute and Chair for Communications Engineering at 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},
    }