3D convolutional GAN for fast simulation

Fast Simulation of Lightning for 3D Games

Simulating a lightning stroke supporting real time interaction involves developing a model for the main stroke, and then recursively generating similar models for any branches that may occur. A number of methods have been developed in this field, but most of the research has concentrated on rendering algorithms. This thesis generates volumetric data for a three dimensional lightning stroke thro...

A hierarchical Convolutional Neural Network for Segmentation of Stroke Lesion in 3D Brain MRI

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

A hierarchical Convolutional Neural Network for Segmentation of Stroke Lesion in 3D Brain MRI

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

A Fast Marching Method for 3d Reservoir Simulation

3D Convolutional Networks for Brain Tumor Segmentation

This paper presents our work on applying 3D Convolutional Networks for brain tumor segmentation for the BRATS challenge. We are currently experimenting with different 3D fully convolutional architectures. We present preliminary results using these architectures and outline our future steps and experiments, which involve hyperparameter optimization, comparison of the models’ performance and impl...