output
20032026
most citedSynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

641 citations

Showing q-bio.CBShow all

5 papers · 1 filter

q-bio.CB2008

Cancer Cell Motility: Optimizing Spatial Search Strategies

L. Leon Chen, Le Zhang, Jeongah Yoon +1

Aberrantly regulated cell motility is a hallmark of cancer cells. A hybrid agent-based model has been developed to investigate the synergistic and antagonistic cell motility-impact…

q-bio.CB2008

Multi-Scale, Multi-Resolution Brain Cancer Modeling

Le Zhang, L. Leon Chen, Thomas S. Deisboeck

In advancing discrete-based computational cancer models towards clinical applications, one faces the dilemma of how to deal with an ever growing amount of biomedical data that ough…

q-bio.CB2007

Simulating non-small cell lung cancer with a multiscale agent-based model

Zhihui Wang, Le Zhang, Jonathan Sagotsky +1

Background The epidermal growth factor receptor (EGFR) is frequently overexpressed in many cancers, including non-small cell lung cancer (NSCLC). In silcio modeling is considered t…

q-bio.CB2005

The Effects of EGF-Receptor Density on Multiscale Tumor Growth Patterns

Chaitanya A. Athale, Thomas S. Deisboeck

We studied the effects of epidermal growth factor receptor (EGFR) density on tumor growth dynamics, both on the sub- and the multi-cellular level using our previously developed mod…

q-bio.CB2004★ 105 cited

Simulating the Impact of a Molecular 'Decision-Process' on Cellular Phenotype and Multicellular Patterns in Brain Tumors

Chaitanya Athale, Yuri Mansury, Thomas S. Deisboeck

Experimental evidence indicates that human brain cancer cells proliferate or migrate, yet do not display both phenotypes at the same time. Here, we present a novel computational mo…