A proof-of-concept pipeline to guide evaluation of tumor tissue perfusion by dynamic contrast-agent imaging: Direct simulation and inverse tracer-kinetic procedures.

Quantitative modeling identifies critical cell mechanics driving bile duct lumen formation.

Guided interactive image segmentation using machine learning and color-based image set clustering.

Guided interactive image segmentation using machine learning and color based data set clustering.

Quantitative cell-based model predicts mechanical stress response of growing tumor spheroids over various growth conditions and cell lines.

Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer.

Inferring Growth Control Mechanisms in Growing Multi-cellular Spheroids of NSCLC Cells from Spatial-Temporal Image Data.

TiQuant: software for tissue analysis, quantification and surface reconstruction.

Modeling Dynamics of Cell-to-Cell Variability in TRAIL-Induced Apoptosis Explains Fractional Killing and Predicts Reversible Resistance.

Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration.

Individual fates of mesenchymal stem cells in vitro.

A cell-based simulation software for multi-cellular systems.

Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.

Emergence of Regulatory Networks in Simulated Evolutionary Processes.

Coarse Graining in Simulated Cell Populations.

Scaling Laws and Similarity Detection in Sequence Alignment with Gaps.