Beini Jiang

发表

Employing Graphics Processing Unit (GPU) Technology to Speed Up Multi-scale and Multi-resolution Agent-Based Brain Cancer Models

Beini Jiang, 2012 .

Using Granger-Geweke causality model to evaluate the effective connectivity of primary motor cortex (M1), supplementary motor area (SMA) and cerebellum.

Le Zhang, Jian Kong, Beini Jiang, 2010, Journal of biomedical science and engineering.

A Novel Bayesian Classification System Integrated with Mobile Agent Based Modeling Technology

Bo Chen, Le Zhang, Beini Jiang, 2010, International Conference on Artificial Intelligence.

Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway

Xiaobo Zhou, Le Zhang, Yukun Wu, 2014, Int. J. Data Min. Bioinform..

Novel 3D GPU based numerical parallel diffusion algorithms in cylindrical coordinates for health care simulation

Xiaobo Zhou, Weizhong Dai, Le Zhang, 2015, Math. Comput. Simul..

Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units

Xiaobo Zhou, Le Zhang, Jing Su, 2011, Theoretical Biology and Medical Modelling.

Employing graphics processing unit technology, alternating direction implicit method and domain decomposition to speed up the numerical diffusion solver for the biomedical engineering research

Xiaobo Zhou, Weizhong Dai, Le Zhang, 2011 .

Accelerate numerical diffusion solver of 2 D multi-scale and multi-resolution agent-based brain cancer model by employing graphics processing unit technology [ BIOCOMP ]

Beini Jiang, Allan Struthers, Le Zhang, 2011 .

Targeting the Biophysical Properties of the Myeloma Initiating Cell Niches: A Pharmaceutical Synergism Analysis Using Multi-Scale Agent-Based Modeling

Xiaobo Zhou, Chung-Che Chang, Beini Jiang, 2014, PloS one.