Stefan Höhme
Stefan Höhme
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Zitiert von
Zitiert von
Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating …
P Godoy, NJ Hewitt, U Albrecht, ME Andersen, N Ansari, S Bhattacharya, ...
Archives of toxicology 87 (8), 1315-1530, 2013
A single-cell-based model of tumor growth in vitro: monolayers and spheroids
D Drasdo, S Hoehme
Physical biology 2 (3), 133, 2005
Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration
S Hoehme, M Brulport, A Bauer, E Bedawy, W Schormann, M Hermes, ...
Proceedings of the National Academy of Sciences 107 (23), 10371-10376, 2010
Adverse outcome pathways: opportunities, limitations and open questions
M Leist, A Ghallab, R Graepel, R Marchan, R Hassan, SH Bennekou, ...
Archives of toxicology 91 (11), 3477-3505, 2017
On the role of physics in the growth and pattern formation of multi-cellular systems: What can we learn from individual-cell based models?
D Drasdo, S Hoehme, M Block
Journal of Statistical Physics 128 (1-2), 287-345, 2007
A cell-based simulation software for multi-cellular systems
S Hoehme, D Drasdo
Bioinformatics 26 (20), 2641-2642, 2010
Individual-based approaches to birth and death in avascu1ar tumors
D Drasdo, S Höhme
Mathematical and Computer Modelling 37 (11), 1163-1175, 2003
Protocols for staining of bile canalicular and sinusoidal networks of human, mouse and pig livers, three-dimensional reconstruction and quantification of tissue …
S Hammad, S Hoehme, A Friebel, I von Recklinghausen, A Othman, ...
Archives of toxicology 88 (5), 1161-1183, 2014
Model-guided identification of a therapeutic strategy to reduce hyperammonemia in liver diseases
A Ghallab, G Cellière, SG Henkel, D Driesch, S Hoehme, U Hofmann, ...
Journal of hepatology 64 (4), 860-871, 2016
Integrated metabolic spatial‐temporal model for the prediction of ammonia detoxification during liver damage and regeneration
F Schliess, S Hoehme, SG Henkel, A Ghallab, D Driesch, J Böttger, ...
Hepatology 60 (6), 2040-2051, 2014
Mathematical modelling of liver regeneration after intoxication with CCl 4
S Höhme, JG Hengstler, M Brulport, M Schäfer, A Bauer, R Gebhardt, ...
Chemico-biological interactions 168 (1), 74-93, 2007
How predictive quantitative modelling of tissue organisation can inform liver disease pathogenesis
D Drasdo, S Hoehme, JG Hengstler
Journal of hepatology 61 (4), 951-956, 2014
Modeling the impact of granular embedding media, and pulling versus pushing cells on growing cell clones
D Drasdo, S Hoehme
New Journal of Physics 14 (5), 055025, 2012
TiQuant: software for tissue analysis, quantification and surface reconstruction
A Friebel, J Neitsch, T Johann, S Hammad, JG Hengstler, D Drasdo, ...
Bioinformatics 31 (19), 3234-3236, 2015
Phenotype and growth behavior of residual β-catenin-positive hepatocytes in livers of β-catenin-deficient mice
A Braeuning, Y Singh, B Rignall, A Buchmann, S Hammad, A Othman, ...
Histochemistry and cell biology 134 (5), 469-481, 2010
The virtual liver: state of the art and future perspectives
D Drasdo, J Bode, U Dahmen, O Dirsch, S Dooley, R Gebhardt, A Ghallab, ...
Archives of toxicology 88 (12), 2071-2075, 2014
Quantitative analysis of hepatic macro‐and microvascular alterations during cirrhogenesis in the rat
G Peeters, C Debbaut, A Friebel, P Cornillie, WH De Vos, K Favere, ...
Journal of anatomy 232 (3), 485-496, 2018
Biomechanical and nutrient controls in the growth of mammalian Cell populations
S Hoehme, D Drasdo
Mathematical Population Studies 17 (3), 166-187, 2010
A quantitative high-resolution computational mechanics cell model for growing and regenerating tissues
P Van Liedekerke, J Neitsch, T Johann, E Warmt, I Gonzàlez-Valverde, ...
Biomechanics and Modeling in Mechanobiology 19 (1), 189-220, 2020
Model prediction and validation of an order mechanism controlling the spatiotemporal phenotype of early hepatocellular carcinoma
S Hoehme, F Bertaux, W Weens, B Grasl-Kraupp, JG Hengstler, D Drasdo
Bulletin of mathematical biology 80 (5), 1134-1171, 2018
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