Walter de Back
Walter de Back
Aignostics GmbH
Verified email at - Homepage
Cited by
Cited by
Morpheus: a user-friendly modeling environment for multiscale and multicellular systems biology
J Starruß, W de Back, L Brusch, A Deutsch
Bioinformatics 30 (9), btt772, 2014
Haematopoietic stem cells in perisinusoidal niches are protected from ageing
M Saçma, J Pospiech, R Bogeska, W de Back, JP Mallm, V Sakk, K Soller, ...
Nature cell biology 21 (11), 1309-1320, 2019
Early embryonic vascular patterning by matrix-mediated paracrine signalling: a mathematical model study
A Köhn-Luque, W De Back, J Starruß, A Mattiotti, A Deutsch, ...
PLoS One 6 (9), e24175, 2011
Dynamics of VEGF matrix-retention in vascular network patterning
A Köhn-Luque, W De Back, Y Yamaguchi, K Yoshimura, MA Herrero, ...
Physical biology 10 (6), 066007, 2013
Liquid-crystal organization of liver tissue
H Morales-Navarrete, H Nonaka, A Scholich, F Segovia-Miranda, ...
Elife 8, e44860, 2019
Complex system simulations with QosCosGrid
K Kurowski, W de Back, W Dubitzky, L Gulyás, G Kampis, M Mamonski, ...
Computational Science–ICCS 2009, 387-396, 2009
On the role of lateral stabilization during early patterning in the pancreas
W de Back, JX Zhou, L Brusch
Journal of The Royal Society Interface 10 (79), 20120766, 2013
Automated detection of the HER2 gene amplification status in Fluorescence in situ hybridization images for the diagnostics of cancer tissues
F Zakrzewski, W de Back, M Weigert, T Wenke, S Zeugner, R Mantey, ...
Scientific reports 9 (1), 8231, 2019
Structure-preserving multi-domain stain color augmentation using style-transfer with disentangled representations
SJ Wagner, N Khalili, R Sharma, M Boxberg, C Marr, W de Back, T Peng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
A modeler-friendly API for ABM partitioning
L Gulya´ s, G Szemes, G Kampis, W de Back
International Design Engineering Technical Conferences and Computers and …, 2009
Transdifferentiation of pancreatic cells by loss of contact-mediated signaling
W Back, R Zimm, L Brusch
BMC systems biology 7 (1), 1-11, 2013
Image‐based quantification and mathematical modeling of spatial heterogeneity in ESC colonies
M Herberg, T Zerjatke, W de Back, I Glauche, I Roeder
Cytometry Part A 87 (6), 481-490, 2015
Quantification of nematic cell polarity in three-dimensional tissues
A Scholich, S Syga, H Morales-Navarrete, F Segovia-Miranda, H Nonaka, ...
PLoS computational biology 16 (12), e1008412, 2020
Statistical and mathematical modeling of spatiotemporal dynamics of stem cells
W de Back, T Zerjatke, I Roeder
Stem Cell Mobilization: Methods and Protocols, 219-243, 2019
Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging
W De Back, S Seurig, S Wagner, B Marré, I Roeder, N Scherf
Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics
K Thierbach, PL Bazin, W Back, F Gavriilidis, E Kirilina, C Jäger, ...
Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018
Red Queen dynamics in a predator-prey ecosystem
W de Back, M Wiering, E de Jong
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
Templates for distributed agent-based simulations on a quasi-opportunistic grid
L Gulyas, W de Back, G Szemes, K Kurowski, W Dubitzky, G Kampis
Emss 2008: 20Th European Modeling and Simulation Symposium, 300-305, 2008
Niche differentiation and coexistence in a multi-resource ecosystem with competition
W De Back, L Gulyás, G Kampis
European Conference on Artificial Life, 143-152, 2007
Cellular Potts Model
A Voß-Böhme, J Starruß, W de Back, W Dubitzky, O Wolkenhauer, ...
Encyclopedia of Systems Biology, 386-390, 2013
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