(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.
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
(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),
(2007)
Branching dendrites with resonant membrane: a "sum-over-trips" approach.
Biol Cybern 97(2),
137-149.