A minimal model, data-driven approach to tractography
نویسندگان
چکیده
A. Downing, D. Rueckert, A. D. Edwards, and J. V. Hajnal Robert Steiner MRI Unit, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, United Kingdom, Visual Information Processing Group, Department of Computing, Imperial College London, London, United Kingdom, Department of Paediatrics, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, United Kingdom
منابع مشابه
Automatic Generation of a Multi Agent System for Crisis Management by a Model Driven Approach
Considering the increasing occurrences of unexpected events and the need for pre-crisis planning in order to reduce risks and losses, modeling instant response environments is needed more than ever. Modeling may lead to more careful planning for crisis-response operations, such as team formation, task assignment, and doing the task by teams. A common challenge in this way is that the model shou...
متن کاملDevelopment of an Improved Fuzzy Approach to Model Potential Sites for Groundwater Artificial Recharge
Delineation of potential sites for groundwater artificial recharge is an important and challenging task. The purpose of this research is to develop a new data-driven fuzzy approach to model potential sites for groundwater artificial recharge. To achieve this end, the efficient criteria of a proper site for groundwater artificial recharge were first recognized and presented as a conceptual model...
متن کاملForecasting Ozone Density in Tehran Air Using a Smart Data-Driven Approach
Introduction: As a metropolitan area in Iran, Tehran is exposed to damage from air pollution due to its large population and pollutants from various sources. Accordingly, research on damage induced by air pollution in this city seems necessary. The main purpose of this study was to forecast ozone in the city of Tehran. Considering the hazards of ozone (O3) gas on human health and the environmen...
متن کاملIntelligent identification of vehicle’s dynamics based on local model network
This paper proposes an intelligent approach for dynamic identification of the vehicles. The proposed approach is based on the data-driven identification and uses a high-performance local model network (LMN) for estimation of the vehicle’s longitudinal velocity, lateral acceleration and yaw rate. The proposed LMN requires no pre-defined standard vehicle model and uses measurement data to identif...
متن کاملA Data-driven Method for Crowd Simulation using a Holonification Model
In this paper, we present a data-driven method for crowd simulation with holonification model. With this extra module, the accuracy of simulation will increase and it generates more realistic behaviors of agents. First, we show how to use the concept of holon in crowd simulation and how effective it is. For this reason, we use simple rules for holonification. Using real-world data, we model the...
متن کامل