(2018)
Untangling cell tracks: Quantifying cell migration by time lapse image data analysis.
Cytometry A 93(3),
357-370.
(Review)

Carl-Magnus Svensson
Applied Systems Biology · DropCode +49 3641 532-1088 carl-magnus.svensson@leibniz-hki.deCurriculum vitae
Main Research Areas
- signal and data analysis
- analysis of medical and microscopy images using computer vision approaches
- statistical modeling and machine learning
Professional Career
since 2012 | Postdoctoral researcher in the Applied Systems Biology group, Hans Knöll Institute, Jena, Germany. |
2011-2012 | Postdoctoral researcher in the group Computational Neuroscience and Machine Learning at Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt am Main |
2009-2011 | Postdoctoral researcher in the Visual Neuroscience group at the School of Psychology at the University of Nottingham (GB) |
2009 | PhD in Applied Mathematics at the University of Nottingham (GB) |
2005 | M.Sc. in Engineering Physics at the Royal Institute of Technology in Stockholm (SWE) |
Publications
(2017)
Mast cells acquire MHCII from dendritic cells during skin inflammation.
J Exp Med 214(12),
3791-3811.
(2017)
Segmentation of clusters by template rotation expectation maximization.
Comput Vis Image Underst 152,
64-72.
(2017)
Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data.
Sci Rep 7,
44434.
(2015)
Estimation of cortical magnification from positional error in normally sighted and amblyopic subjects.
Journal of Vision 15(2),
1-16.
(2015)
Automated quantification of the phagocytosis of Aspergillus fumigatus conidia by a novel image analysis algorithm.
Frontiers in Microbiology 6(549),
*authors contributed equally.
(2015)
Automated classification of circulating tumor cells and the impact of inter-observer variability on classifier training and performance.
Journal of Immunology Research 2015(Article ID 573165),
9.
(2014)
Automated detection of circulating tumor cells with naive Bayesian classifiers.
Cytometry A 85(6),
501-511.
(2012)
Using evolutionary algorithms for fitting high-dimensional models to neuronal data.
Neuroinformatics 10(2),
199-218.
(2009)
Mode locking in a spatially extended neuron model: active soma and compartmental tree.
Int J Bifurcat Chaos 19(2597),