Project Wizard

You can use the category filters given on the right sidebar to narrow down your search results.

OpenViBE

Rating: 
Your rating: None Average: 4 (1 vote)

OpenViBE is a software platform dedicated to designing, testing and using brain-computer interfaces.

OpenViBE is a software for real-time neurosciences (that is, for real-time processing of brain signals). It can be used to acquire, filter, process, classify and visualize brain signals in real time.

The main OpenViBE application fields are medical (assistance to disabled people, real-time biofeedback, neurofeedback, real-time diagnosis), multimedia (virtual reality, video games), robotics and all other application fields related to brain-computer interfaces and real-time neurosciences.

PyEPL

Rating: 
Your rating: None Average: 2.6 (5 votes)

PyEPL (the Python Experiment-Programming Library) is a library for coding psychology experiments in Python. It supports presentation of both visual and auditory stimuli, and supports both manual (keyboard/joystick) and sound (microphone) input as responses.

Open Source Picture Archiving and Communication System (OSPACS)

Rating: 
Your rating: None Average: 3.6 (19 votes)

Open Source Picture Archiving and Communication System (OSPACS) for storing and displaying medical image files. This is currently been used by the Institute of Women's Health (University College London) to archive ultrasound images from the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) and aims to store more than 100,000 DICOM files.

DataViewer3D (DV3D)

Rating: 
No votes yet

DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies.

Ginkgo CADx

Rating: 
Your rating: None Average: 4 (4 votes)

Ginkgo CADx project started in 2009 with the aim to create an interactive, universal, homogeneous, open-source and cross-platform CADX environment.

Ginkgo is built over a huge amount of advanced technologies providing full abstraction of complex tasks as:

The R Project for Statistical Computing

Rating: 
Your rating: None Average: 5 (1 vote)

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R."

RT_Image

Rating: 
Your rating: None Average: 3.7 (3 votes)

RT_Image is an application developed in the Department of Radiation Oncology and MIPS at Stanford University. Coded in the Interactive Data Language (IDL, ITT Visual Information Solutions), RT_Image was originally designed in 2003 to generate radiotherapy target volumes from positron emission tomography (PET) datasets. It has since evolved to embody a variety of tools for visualizing, quantitating, and segmenting three-dimensional images.

BioSig

Rating: 
No votes yet

BioSig is an open source software library for biomedical signal processing, featuring for example the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromyogram (EMG), respiration, and so on. Major application areas are: Neuroinformatics, brain-computer interfaces, neurophysiology, psychology, cardiovascular systems and sleep research. The aim of the BioSig project is to foster research in biomedical signal processing by providing open source software tools for many different applications.

The 'epitools' R Package

Rating: 
Your rating: None Average: 4 (1 vote)

"epitools (epidemiology tools) is an R package for epidemiologic computing and graphics."

Medical Exploration Toolkit (METK)

Rating: 
Your rating: None Average: 1.7 (3 votes)

The MedicalExplorationToolkit (METK) was designed for loading, visualizing and exploring segmented medical data sets. It is a framework of several modules in MeVisLab, a development environment for medical image processing and visualization.

  • Case Management: Load and save whole cases of segmented structures e.g. for surgery planning, educational training or intra operative visualization.
  • Basic Visualization in 2D and 3D: Visualize segmented structures in multiple manner e.g. iso surface rendering, stippling, hatching, silhouettes, volume rendering, 2d overlays.

Pages