Erik Smistad

GPU-Marching-Cubes. A GPU implementation of the Marching Cubes algorithm for extracting surfaces from volumes using OpenCL and OpenGL

Tube-Segmentation-Framework. A software for fast segmentation and centerline extraction of tubular structures (e.g. blood vessels and airways) from different modalities and organs using GPUs and OpenCL

OpenCL-Getting-Started. A small "getting started" tutorial for OpenCL. See http://www.eriksmistad.no/getting-started-with-opencl-and-gpu-computing/ for more info

annotationweb. A web-based annnotation system for easy annotation of image sequences such as ultrasound and camera recordings

OpenCLUtilities. A small set of function based on the OpenCL C++ bindings to help set up an OpenCL and OpenCL-GL context as well as compiling OpenCL code

OpenCL-Gaussian-Blur. An example of Gaussian blur using OpenCL and the built-in Images/textures

OpenCL-GVF. An optimized OpenCL implementation of Gradient Vector Flow (GVF) that runs on GPUs and CPUs for both 2D and 3D. For more details about the implementation, see the scientific article Real-time gradient vector flow on GPUs using OpenCL http://www.springerlink.com/content/v0071r27706u5135/

SIPL. The Simple Image Processing Library (SIPL) is a C++ library with the main goal of making it easy to go from an algorithm concept to pictures on the screen.

visualize-caffe. Some useful python functions for visualizing a caffe network

GTest. Just a simple test of the google C++ unit test framework (GTest)

3D-Gradient-Vector-Flow-for-Matlab. This is an implementation of Gradient Vector Flow (GVF) for 3D in Matlab. It is based on the original 2D implementation of Xu and Prince.

convert-tensorflow-model-to-tensorrt-uff. Simple script to convert a frozen tensorflow .pb file to TensorRT UFF format

OpenCL-Level-Set-Segmentation. Parallel/GPU level set volume segmentation using OpenCL

konverter-norgeskart-projeksjon. Dette scriptet konverterer norgeskart fra genorge i UTM-33 projeksjon til EPSG:3857 som Google og Leaflet bruker

Qt-OpenGL-OpenCL-Interoperability. Testing Qt, OpenGL and OpenCL interoperability

Multiple-Windows-Single-OpenGL-Context. A simple test for having multiple windows with the same OpenGL context using GLUT

GPU-Multigrid-Gradient-Vector-Flow. A GPU implementation of a full multgrid solver of Gradient Vector Flow (GVF) using OpenCL

OpenCLUtilityLibrary. C++

Memory-mapped-file. Creating a memory mapped file using the boost iostrames library

SIPL-Example. This is an example of how to use the Simple Image Processing Library (see www.github.com/smistad/SIPL/).

Gradient-Vector-Flow. C++ implementation of Gradient Vector Flow

simple-cpp-plugin-test. Small test of a simple plugin system in C++ for Windows and Linux

Level-Set-Segmentation. C

Detect-Screen-GPU-With-OpenCL. A test script to see if it is possible to detect which GPU is connected to the screen using OpenCL. The purpose of this is to use the GPU connected to screen for visualizations and the others for computation only.

FAST-WSI-pipeline-and-gui. C++

SWIG-test. A test for creating python bindings of a C++ library using SWIG and CMake

FAST-data-hub. A web based system for sharing and deploying medical image data, neural network models and pipelines for FAST

cpd. C++ implementation of the Coherent Point Drift point set registration algorithm