Search Results for "github"

...Our repo moved to GIT (click on tab Git Code), Lowest supported Java now is 1.8 and project code base is in process of redesign (updating libraries and ways how application is built and run). IMPORTANT: Project was moved to GitHub: https://github.com/andyrozman/ggc on 4th April 2024

We have moved to GitHub: https://github.com/crs4/hl7apy Since version 1.3.3, we no longer distribute hl7apy with SourceForge. Install it using pip (recommended) or download it from GitHub (https://github.com/crs4/hl7apy/releases)

...This package does not contain all data required to run, i.e. does not contain GEANT4 libraries and GEANT4 nuclear data (for saving space). It does contain however the X-Ray spectrum data. Read README.txt me inside Build folder for how to fix it. Source code included. Also, available on GitHub: https://github.com/ZiliasTheSaint/DoseInHumanBody.git

The MRiLab project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MRiLab/ The MRiLab is a numerical MRI simulation package. It has been developed and optimized to simulate MR signal formation, k-space acquisition and MR image reconstruction. MRiLab provides several dedicated toolboxes to analyze RF pulse, design MR sequence, configure multiple transmitting and receiving coils, investigate magnetic field related properties and evaluate real-time imaging technique. ...

Cancer registries need a tool to input, store, check and analyse their data. If these data are also coded and verified in a standard way, it facilitates the production of comparable analyses across registry populations. The main goal of the CanReg5 project is to provide a flexible and easy to use tool to accomplish these objectives. CanReg5 is a multi user, multi platform, open source tool to input, store, check and analyse cancer registry data. It has modules to do: data entry,...

NOTE: This project is now hosted at GitHub. Please follow the link below to visit its new home.

*** This is an archive only, please see https://github.com/ANTsX for this and other ANTsX tools *** Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Image segmentation with priors & nonparametric, multivariate models. *** Current ANTs code, binaries (Mac, Windows, Linux) and support is hosted at Github *** https://github.com/ANTsX/ANTs Docker hub: https://hub.docker.com/u/antsx Older code and binaries remain available here on SourceForge (1.9x, pre 2014). If you are new to ANTs you should probably go to Github and get the latest code.

The MatrixUser project is moving to GitHub, the latest version can be obtained from https://leoliuf.github.io/MatrixUser/ Most of the medical images (e.g. CT, MRI, PET, etc.) comprises multiple frames which represent slices, phases, timing etc. from the same imaging object. Those images can be saved as multidimensional matrices in Matlab thanks to Matlab's powerful support of multidimensional data representation.

This project will be moving to GitHub. If you want to contribute or get the latest source go to: https://github.com/jramshur/HRVAS HRVAS is a heart rate variability (HRV) analysis tool developed using MATLAB. HRVAS can detrend and filter IBI and can perform time domain, frequency domain, time-frequency, Poincare', and nonlinear HRV analysis. If you use this application or modify this application for your research, please reference the thesis entitled "DESIGN, EVALUATION, AND APPLICAION OF HEART RATE VARIABILITY ANALYSIS SOFTWARE (HRVAS)". ...

...It is a Java/JSF/Hibernate/Spring web application that is actively being developed and used at Harvard Medical School. Note: The Screensaver project has moved to GitHub at https://github.com/hmsiccbl/screensaver.

""" E-Cell's source code repository has moved to GitHub! https://github.com/ecell The development of E-Cell now continues on GitHub. The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.

NOTE: THIS PROJECT HAS MOVED TO GITHUB Link: https://github.com/hacklaen/virtualmri A realistic simulation of a MR scanner shall be developed. For the user it shall be possible to change all relevant setting of the virtual scanner and to adapt them to the expected pathology. Students and doctors in education are the target group.