2020

A. Friebel, T. Johann, D. Drasdo and S. Hoehme, Guided interactive image segmentation using machine learning and color based data set clustering, arXiv preprint.

S. Hoehme, R. Gebhardt, J. G. Hengstler and D. Drasdo, Model predicts fundamental role of biomechanical control of cell cycle progression during liver regeneration after partial hepatectomy, arXiv preprint.

N. Vartak, G. Guenther, F. Joly, A. Damle-Vartak, G. Wibbelt, J. Fickel, S. Jörs, B. Begher-Tibbe, A. Friebel, K. Wansing, A. Ghallab, M. Rosselin, N. Boissier, I. Vignon-Clementel, Ch. Hedberg, F. Geisler, H. Hofer, P. Jansen, S. Hoehme, D. Drasdo and J. G. Hengstler, Intravital multi-modal flux analysis reveals the transport mechanism of bile acids through hepatic microconduits, bioXiv preprint (accepted in Hepatology).

P. Van Liedekerke, J. Neitsch, T. Johann, E. Warnt, J Kaes and D. Drasdo, Quantifying mechanics and growth of cells in tissues using high resolution computational models. Biomech. mod. Mechanobiol., DOI: 10.1007/s10237-019-01204-7.

P. Van Liedekerke, J. Neitsch, T. Johann, E. Warnt, J Kaes and D. Drasdo, A quantitative high resolution computational cell model to unravel the mechanics in living tissues. Computer Methods in Biomechanics and Biomedical Engineering 22 (sup1), S367-S369

T. Heck, S. Vanmaercke, P. Bhattacharya, T. Odenthal, H. Ramon, P. Van Liedekerke and H. Van Oosterwijck, The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model. Plos. comp. biol. 16(1) e1007250.

2019

P. Van Liedekerke, J. Neitsch, T. Johann, K. Alessandri, P. Nassoy and D. Drasdo, Quantitative modeling identifies robust predictable stress response of growing CT-26 tumor spheroids under variable conditions. Plos. Comp. Biol. 15(3): e1006273.

2017

T. Heck, S. Vanmaercke, P. Bhattacharya, T. Odenthal, H. Ramon, H Van Oosterwijck and P. Van Liedekerke, Modeling ExtraCellular matrix viscoelasticity using Smoothed Particle Hydrodynamics Comp. Meth. Appl. Mech. Eng. 322(1)

P. Van Liedekerke, A. Buttenschön and D. Drasdo, Off-lattice agent-based models for cell and tumor growth: Numerical methods, implementation, and applications. Numerical Methods and Advanced Simulation in Biomechanics and Biological Processes; 2017; pp. 245 - 267

2016

N. Jagiella, B. Müller, M. Müller, I. E. Vignon-Clementel, D. Drasdo, Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image Data. PLOS Computational Biology 12(2): e1004412.

2015

P. Van Liedekerke, M. Palm, N. Jagiella and D. Drasdo: Simulating tissue mechanics with Agent Based Models: concepts and perspectives. J. Comp. Part. mech. 2(4).