Erik Smistad (@smistad)
  • Stars
    star
    1,149
  • Global Rank 26,783 (Top 1.0 %)
  • Followers 302
  • Following 44
  • Registered almost 15 years ago
  • Most used languages
    C++
    66.7 %
    Python
    13.3 %
    C
    10.0 %
    CMake
    3.3 %
    MATLAB
    3.3 %
    CSS
    3.3 %
  • Location 🇳🇴 Norway
  • Country Total Rank 145
  • Country Ranking
    C++
    8
    CMake
    19
    MATLAB
    21
    C
    25
    Python
    177
    CSS
    486

Top repositories

1

FAST

A framework for high-performance medical image processing, neural network inference and visualization
C++
441
star
2

GPU-Marching-Cubes

A GPU implementation of the Marching Cubes algorithm for extracting surfaces from volumes using OpenCL and OpenGL
C
192
star
3

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
C
95
star
4

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
C++
92
star
5

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
C++
36
star
6

OpenCL-Gaussian-Blur

An example of Gaussian blur using OpenCL and the built-in Images/textures
C++
32
star
7

annotationweb

A web-based annnotation system for easy annotation of image sequences such as ultrasound and camera recordings
Python
32
star
8

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/
C++
30
star
9

visualize-caffe

Some useful python functions for visualizing a caffe network
Python
27
star
10

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.
C++
27
star
11

GTest

Just a simple test of the google C++ unit test framework (GTest)
C++
25
star
12

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.
MATLAB
22
star
13

convert-tensorflow-model-to-tensorrt-uff

Simple script to convert a frozen tensorflow .pb file to TensorRT UFF format
Python
18
star
14

OpenCL-Level-Set-Segmentation

Parallel/GPU level set volume segmentation using OpenCL
C++
18
star
15

konverter-norgeskart-projeksjon

Dette scriptet konverterer norgeskart fra genorge i UTM-33 projeksjon til EPSG:3857 som Google og Leaflet bruker
Python
13
star
16

Qt-OpenGL-OpenCL-Interoperability

Testing Qt, OpenGL and OpenCL interoperability
C++
10
star
17

Multiple-Windows-Single-OpenGL-Context

A simple test for having multiple windows with the same OpenGL context using GLUT
C++
9
star
18

Memory-mapped-file

Creating a memory mapped file using the boost iostrames library
C++
4
star
19

OpenCLUtilityLibrary

C++
4
star
20

GPU-Multigrid-Gradient-Vector-Flow

A GPU implementation of a full multgrid solver of Gradient Vector Flow (GVF) using OpenCL
C++
4
star
21

SIPL-Example

This is an example of how to use the Simple Image Processing Library (see www.github.com/smistad/SIPL/).
C++
4
star
22

Gradient-Vector-Flow

C++ implementation of Gradient Vector Flow
C++
3
star
23

FAST-dependencies

Project for building third party library dependencies of FAST
CMake
2
star
24

simple-cpp-plugin-test

Small test of a simple plugin system in C++ for Windows and Linux
C++
2
star
25

FAST-example-project

C++
1
star
26

FAST-WSI-pipeline-and-gui

C++
1
star
27

FAST-data-hub

A web based system for sharing and deploying medical image data, neural network models and pipelines for FAST
CSS
1
star
28

Level-Set-Segmentation

C
1
star
29

SWIG-test

A test for creating python bindings of a C++ library using SWIG and CMake
C++
1
star
30

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.
C++
1
star