ASB-82458
Deep learning supported image analysis of angle-resolved scattered light images of bacteria in microfluidic droplets
Arjun Sarkar, Carl-Magnus Svensson, Martina Graf, Anne-Sophie Munser, Miriam A. Rosenbaum, Marc Thilo Figge
ASB-82457
A spatio-temporal model for simulating hyphal growth of filamentous fungal species
Christoph Saffer, Thilo Figge
IA-68
JIPipe: Designing automated image analysis
pipelines without programming
pipelines without programming
Ruman Gerst, Zoltan Cseresnyes, Marc Thilo Figge
IbSB-13
Mcat: a multispectral cluster analysis toolkit for deep learning-based segmentation and clinical biomarker quantification of MSOT data
B. Hoffmann, R. Gerst, Z. Cseresnyés, W. Foo, O. Sommerfeld, A. T. Press, M. Bauer, M. T. Figge
M-40
Modeling Candida albicans Complement Regulator Pra1
Paul Rudolph, Alexander Tille, Sandra Timme, Peter F. Zipfel, Marc Thilo Figge
IA-67
Automated Characterization of Neutrophil Activation Phenotypes for Human Candida Bloodstream Infections
Belyaev I., Marolda A., Praetorius J.-P., Medyukhina A., Hünniger K., Kurzai O., Figge M. T.
IA-62
AMIT: A high performance segmentation and tracking framework for migration and confrontation assays
I. Belyaev, J.-P. Praetorius, A. Medyukhina, M.T. Figge
IA-63
Automatic segmentation and classification of fungal-infected tissue using Deep Learning
J.-P. Praetorius, F. Hoffmann, C.M. Svensson, O. Kurzai, F.v. Eggeling, M.T. Figge
IA-61
3D-HyTracer: Quantitative hyphal growth analysis through hyphae-to-graph transormation
J.-P. Praetorius, S. Hoffmann, M. Zerdani, C. Saffer, R.A. Roman, A. S. Mosig, M. Gresnigt, B. Hube, M.T. Figge
IA-66
Machine learning supported image analysis of microfluidic droplets
C.M. Svensson, A. Sarkar, S. Hengoju, M. Agler-Rosenbaum, M.T. Figge