Curriculum vitae

Forschungsschwerpunkte
  • Signal- und Datenanalyse
  • Analyse medizinischer und mikroskopischer Bilddaten mit Ansätzen aus der digitalen Bildverarbeitung
  • statistische Modellierung und maschinelles Lernen
Wissenschaftlicher Werdegang
seit 2012 Wissenschaftlicher Mitarbeiter in der Gruppe Angewandte Systembiologie am Hans-Knöll-Institut
2011-2012 Wissenschaftlicher Mitarbeiter in der Gruppe Computational Neuroscience and Machine Learning am Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt am Main
2009-2011 Wissenschaftlicher Mitarbeiter in der Gruppe Visual Neuroscience in der Fakultät für Psychologie an der Universität von Nottingham (GB)
2009 Dr. rer. nat. in Angewandter Mathematik an der Universität von Nottingham (GB)
2005 M.Sc. in Technischer Physik am Royal Institute of Technology in Stockholm (SWE)

Publikationen

Svensson C-M, Figge MT (2019) Künstliche Intelligenz für die biomedizinische Bildgebung. GIT Labor-Fachzeitschrift , (Review)
Svensson C-M*, Shydkiv O*, Dietrich S, Mahler L, Weber T, Choudhary M, Tovar M, Figge MT**, Roth M**; *authors contributed equally; *corresponding authors; **authors contributed equally (2019) Coding of experimental conditions in microfluidic droplet assays using colored beads and machine learning supported image analysis. Small 15(4), e1802384.
Tuchscherr L, Pöllath C, Siegmund A, Deinhardt-Emmer S, Hörr V, Svensson C-M, Figge MT, Monecke S, Löffler B (2019) Clinical S. aureus isolates vary in their virulence to promote adaptation to the host. Toxins 11(3), 135.
Allert S*, Förster TM*, Svensson C-M, Richardson JP, Pawlik T, Hebecker B, Rudolphi S, Juraschitz M, Schaller M, Blagojevic M, Morschhäuser J, Figge MT, Jacobsen ID, Naglik JR, Kasper L, Mogavero S, Hube B; *authors contributed equally (2018) Candida albicans-induced epithelial damage mediates translocation through intestinal barriers. mBio 9(3), e00915.
Svensson C-M, Medyukhina A, Belyaev I, Al-Zaben N, Figge MT (2018) Untangling cell tracks: Quantifying cell migration by time lapse image data analysis. Cytometry A 93(3), 357-370. (Review)
Dudeck J*, Medyukhina A*, Froebel J, Svensson C-M, Kotrba J, Gerlach M, Gradtke AC, Schröder B, Speier S, Figge MT**, Dudeck A**; *authors contributed equally; **corresponding authors, authors contributed equally (2017) Mast cells acquire MHCII from dendritic cells during skin inflammation. J Exp Med 214(12), 3791-3811.
Hoffmann B*, Svensson C-M*, Straßburger M, Gebser B, Irmler IM, Kamradt T, Saluz HP, Figge MT, *authors contributed equally (2017) Automated quantification of early bone alterations and pathological bone turnover in experimental arthritis by in vivo PET/CT imaging. Sci Rep 7, 2217.
Svensson C-M, Bondoc K G, Pohnert G, Figge MT (2017) Segmentation of clusters by template rotation expectation maximization. Comput Vis Image Underst 152, 64-72.
Svensson C-M*, Hoffmann B*, Irmler I, Straßburger M, Figge MT**, Saluz HP**; *authors contributed equally; **corresponding authors, authors contributed equally (2017) Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data. Sci Rep 7, 44434.
Hussain Z, Svensson C-M, Besle J, Webb BS, Barrett BT, McGraw PV (2015) Estimation of cortical magnification from positional error in normally sighted and amblyopic subjects. Journal of Vision 15(2), 1-16.