Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Presenting a Heterogeneous Tumor Growth Model based on Cellular Automata Algorithm by Considering the Effect of Effective Immune Cells: Study the Model from Cancer Therapy Viewpoint

Fateme Pourhasanzade; Seyed Hojat Sabzpoushan; Danial Makvandi

Volume 13, Issue 2 , August 2019, , Pages 159-175

  Cancer is a leading cause of death in the world. Mathematical and computer models may help scientists to better understand it, and improve current treatments. They may also introduce new aspects of therapy. In this paper, a Cellular Automata model of tumor by emphasizing on immune system is presented. ...  Read More

Biological Computer Modeling / Biological Computer Simulation
A New Method for Slowing Down Avascular Tumor Growth

Seyed Hojat Sabzpoushan; Fateme Pourhasanzade

Volume 11, Issue 1 , May 2017, , Pages 1-18

  In this paper, a new method is proposed for slowing down avascular tumor growth. Our method is established on an agent based avascular tumor growth model (ABM). The model is based on biological assumptions with regard to the immune system interactions. The model parameters are fitted in compatability ...  Read More

Analysis of the Role of Parameters in the Chaotic Behavior of a Cancerous System and its Biological Interpretation

Seyed Hojat Sabzpoushan; Tina Ghodsi Asnaashari; Fateme Pourhasanzade

Volume 11, Issue 1 , May 2017, , Pages 41-49

  Cancer is one of the most important causes of mortality in human society; therefore, scientists are always looking for new ways to cope with the disease. Understanding more about the dynamics of cancerous tumors in body can help researches. Therefore, making simple models for tumor growth is important. ...  Read More

Biological Computer Modeling / Biological Computer Simulation
A Multiscale Hybrid Cellular Automata Model of Tumor Growth: The Impact of Nutrient and Acidity on Tumor Growth

Fateme Pourhasan Zade; Seyed Hojat Sabzpoushan; Ali Mohammad Alizade; Ebrahim Esmati

Volume 10, Issue 2 , August 2016, , Pages 99-112

  Cancer is the third leading cause of death in Iran after cardiac diseases and car accidents. Mathematical and computational models are great help to better understand cancer related phenomena. It may even improve common therapies or introduce new therapies. In this paper, a new multiscale cellular automata ...  Read More

Biological Computer Modeling / Biological Computer Simulation
Four-dimensional modeling of GBM brain tumor growth using cellular automata

Seyed Hojat Sabzpoushan; Fateme Pourhasan Zadeh; Zohre Agin

Volume 7, Issue 1 , June 2013, , Pages 65-73

  A great number of people are diagnosed with a brain tumor, annually. Glioblastoma multiform (GBM) is the most common and deadliest malignant primary brain tumor. Therefore, the study of the growth of GBM is one of the issues considered by researchers. Many mathematical models to simulate the growth of ...  Read More

Cell Biomechanics / Cell Mechanics / Mechanobiology
A Cellular Automata Model For Action Potential Propagation Based On Geometric Pattern Of Action Potential

Seyed Hojat Sabzpoushan; Fateme Pourhasan Zadeh; Azar Badangiz

Volume 4, Issue 1 , June 2010, , Pages 45-52

  The heart tissue is an excitable media. Cellular Automata is an approach describing cardiac action potential propagation. One of the advantages of Cellular Automata approach over the differential equations based models is its high speed in large scale simulations. Prior Cellular Automata models are not ...  Read More