Search Results for "mri software"
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Showing 20 open source projects for "mri software"
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Artichoke Ruby
Artichoke is a Ruby made with Rust
Artichoke is an experimental implementation of the Ruby programming language written primarily in Rust, aiming to provide a modern, embeddable, and portable Ruby runtime. It is designed to be compatible with MRI Ruby while exploring new approaches to performance, safety, and execution models through Rust’s systems programming capabilities. One of its key goals is to enable Ruby to run in environments where traditional implementations struggle, including WebAssembly and sandboxed or untrusted... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history -... -
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Mongoid
Ruby ODM framework for MongoDB
Mongoid is the officially supported ODM (Object-Document-Mapper) framework for MongoDB in Ruby. This Mongoid community organization is a group of open-source contributors around the Mongoid ODM not affiliated with the company, MongoDB. Mongoid is customarily configured through a mongoid.yml file that specifies options and clients. The simplest configuration is as follows, which configures Mongoid to talk to a MongoDB server at “localhost:27017” and use the database named “mongoid”. If you... -
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Resque
Ruby library for creating background jobs and processing them
Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. Resque (pronounced like "rescue") is a Redis-backed library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AWS X-Ray SDK for Ruby
The official AWS X-Ray Recorder SDK for Ruby
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentation. The AWS X-Ray SDK for Ruby is compatible with Ruby 2.3.6 and newer Ruby versions. It has experimental support for JRuby 9.2.0.0 (still forthcoming). To install the Ruby gem for your project, add it to your project Gemfile. You must also add either the Oj or JrJackson gems, for MRI and JRuby respectively, for JSON... -
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ODIN
develop, simulate and run magnetic resonance sequences
ODIN is a free software framework for rapid prototyping of magnetic resonance imaging (MRI) sequences. The sequences can be tested, simulated and executed on scanner hardware from different manufacturers. -
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MELAGE is a neuroimaging software developed for visualizing and processing medical images, both Ultrasound and Magnetic Resonance Images (MRIs). Specially it has been prepared for neuroimaging of newborns, it is a versatile platform that allows the visualization of many types of medical images. It allows to load two, three and four-dimensional images of both techniques and in the case of 3D images it allows the simultaneous visualization of the three orthogonal planes which facilitates the...
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data... -
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fog
The Ruby cloud services library
Whether you need compute, dns, storage, or a multitude of other services, fog provides an accessible entry point and facilitates cross-service compatibility. Just getting started working with cloud resources? You are not alone, and having so many complicated options makes it hard to know where to start. fog delivers the knowledge of cloud experts to you, helping you to bootstrap your cloud usage and guiding you as your own expertise develops. By coding with fog from the start you avoid... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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plastimatch
Volumetric image processing software
Plastimatch is an open source software for image computation. Our main focus is high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). -
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emruby
emscripten'ed MRI
emruby is a project that integrates the mruby lightweight Ruby interpreter into emulation and embedded environments, enabling scripting capabilities within systems that require high performance and low memory usage. It is designed to allow developers to embed Ruby-based scripting into applications such as emulators or other performance-sensitive software, providing flexibility without sacrificing efficiency. By leveraging mruby, emruby enables dynamic behavior, configuration, and... -
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Camino is a free, open-source software package for simulation, analysis and reconstruction of Diffusion MRI data. Download the latest version of the code by clicking the "Code" tab and then "Download Snapshot". The green download button will get the latest major change (updated less frequently). For tutorials and more information, visit http://camino.org.uk.
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In this Project, a human head voxel model is developed for use in CST Studio commercial software pack using an improved voxel set extracted from MRI images of a human head. The proposed voxel model contains 256x256x128 voxel elements with dimensions of 1.1x1.1x1.4 mm. Moreover, the dispersive dielectric properties of head tissues, as well as their density and thermal conductivity, are embedded. This head voxel model was presented at the ICEE2017 conference.
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3DimViewer
3DimViewer is a lightweight 3D viewer of medical DICOM datasets.
3DimViewer is a lightweight 3D viewer of medical DICOM datasets that is distributed as open source software. The viewer is multiplatform software written in C++ that runs on Windows, Mac OS X and Linux systems. 3DimViewer source codes are available on Bitbucket (https://bitbucket.org/3dimlab/3dimviewer). Video tutorials can be found on YouTube (https://www.youtube.com/playlist?list=PLCvwUmKRw9ZO4YexLKEXmw_2jPo-kXVRn). -
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QuantitativeT2
Glioblastoma in mouse brain analyzed by QuantitativeT2
This video clip shows the analysis of a normal mouse brain by QuantitativeT2, a software tool recently developed by TS Ali (more information can be found at: Ali T, Bjarnason T, Senger DL, Dunn JF, Joseph JT, Mitchell J; Quantitativet2: interactive quantitative t2 mri witnessed in mouse glioblastoma. J. Med. Imag. 0001;2(3):036002. doi:10.1117/1.JMI.2.3.036002.). It is written in XCode. The MRI data was acquired using Bruker 9.4T, 128 T2 echoes were collected for 128x128 image matrix. -
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DRAMMS
A Deformable Medical Image Registration Toolbox
DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse brain development, etc); -- Registration under missing correspondences (e.g., vascular lesions, tumors, histological cuts). ... -
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K-Surfer
A KNIME extension for the management and analysis of FreeSurfer Data
...For installation guide read the pdf inside the zip. References: Sarica Alessia, Giuseppe Di Fatta, and Mario Cannataro. "K-Surfer: A KNIME Extension for the Management and Analysis of Human Brain MRI FreeSurfer/FSL Data." Brain Informatics and Health. Springer International Publishing, 2014. 481-492. Sarica A, Di Fatta G and Cannataro M (2014). K-Surfer: A KNIME-based tool for the management and analysis of human brain MRI FreeSurfer/FSL Data. Front. Neuroinform. Conference Abstract: Neuroinformatics 2014. doi: 10.3389/conf.fninf.2014.18.00003 -
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ivantk
Image-based Vascular Analysis Toolkit
The Image-based Vascular Analysis Toolkit is a set of multiplatform C++ libraries for vascular analysis of (3D) medical images, typically CT or MRI. It can be considered as an extension of the Insight Toolkit (ITK) for vascular image analysis, with methods for detection, extraction and modeling of vascular structures. -
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Vurtigo is a 4D (3D + time) real-time visualization software for guiding cardiovascular interventions. It is primarily intended for use with a magnetic resonance imaging (MRI) scanner, and also actively tracked catheters and navigational devices. The latest releases are not available on sourceforge; check out the vurtigo.ca link below for the most up-to-date version.
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The R2AGUI converts MRI data from the raw PHILIPS PAR/REC format to the popular ANALYZE 7.5 format or the newer Nifti 1.0 format, which is used in SPM (Software package for fMRI post-processing). It has an easy to use interface, and can batch process man
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