Search Results for "mri"
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Showing 76 open source projects for "mri"
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Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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x-unet
Implementation of a U-net complete with efficient attention
Implementation of a U-net complete with efficient attention as well as the latest research findings. For 3d (video or CT / MRI scans). -
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TorchIO
Medical imaging toolkit for deep learning
...These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity (bias) or k-space motion artifacts. TorchIO is a Python package containing a set of tools to efficiently read, preprocess, sample, augment, and write 3D medical images in deep learning applications written in PyTorch, including intensity and spatial transforms for data augmentation and preprocessing. Transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity. -
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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 execution contexts. Artichoke features a modular architecture composed of multiple Rust crates, allowing developers to customize and embed the interpreter into their own applications. ... -
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MIRT.jl
MIRT: Michigan Image Reconstruction Toolbox (Julia version)
MIRT.jl is a collection of Julia functions for performing image reconstruction and solving related inverse problems. It is very much still under construction, although there are already enough tools to solve useful problems like compressed sensing MRI reconstruction. Trying the demos is a good way to get started. The documentation is even more still under construction. -
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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 - digitalized - accessible anywhere from Mobile or Desktop. ... -
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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 heavily inspired by DelayedJob (which rocks) and comprises three parts, a Ruby library for creating, querying, and processing jobs, a Rake task for starting a worker which processes jobs, a Sinatra app for monitoring queues, jobs, and workers. Resque workers can be distributed between multiple machines, support priorities, are resilient to memory bloat / "leaks," are optimized for REE (but work on MRI and JRuby), tell you what they're doing, and expect failure. -
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VoxelMorph
Unsupervised Learning for Image Registration
...Once the model has been trained, it can rapidly compute the transformation required to register new image pairs, significantly reducing computational time compared to classical registration algorithms. The framework supports both supervised and unsupervised learning approaches and is commonly used in medical imaging applications such as MRI alignment, anatomical analysis, and longitudinal studies. -
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AWS X-Ray SDK for Ruby
The official AWS X-Ray Recorder SDK for Ruby
...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 parsing. The default JSON parser will not work properly, currently. The SDKs included with X-Ray are part of a tightly integrated instrumentation solution offered by AWS. The AWS Distro for OpenTelemetry is part of a broader industry solution in which X-Ray is only one of many tracing solutions. You can implement end-to-end tracing in X-Ray using either approach, but it’s important to understand the differences in order to determine the most useful approach for you. -
SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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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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iElectrodes
intracranial electrodes localization toolbox
iElectrodes is a free and open-source Matlab® toolbox to obtain intracranial electrode coordinates from MRI and CT images. Precise and reliable localization can be achieved fast and in a semiautomatic way with minimal user intervention. The toolbox works with ECoG (subdural grids and strips) and SEEG (depth) electrodes. The new GridFit algorithm can precisely localize high-density electrodes (up to 3mm). Brain parcellations (atlas) and surfaces can be imported to aid 2D and 3D visualization and anatomical localization can be done in native or normalized space. ... -
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Iso2Mesh - A 3D Mesh Generation Toolbox
A 3D surface and volumetric mesh generator for MATLAB/Octave
A simple yet powerful mesh generator based on MATLAB/GNU Octave language, creating finite-element mesh from surfaces or arbitrary 3D volumetric images (such as MRI/CT scans) with fully automatic workflows. -
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SimPET
A web platform for the MC simulation of realistic brain PET data
SimPET (http://www.sim-pet.org) is an open, efficient, and user‐friendly online platform for the generation of synthetic brain PET datasets. The platform offers the ability to generate realistic activity and attenuation maps from patient's PET/CT and MRI images. These maps can then be simulated, and sinograms and simulated images can be downloaded. More advanced features can be obtained by using the SimPET scripts: https://github.com/txusser/brainviset_simset https://github.com/txusser/simpet (New version pre-alpha) You can also upload your own phantoms to simulate. Currently the platform incorporates MC models for the GE Advance, GE Discovery ST and Siemens mCT. ... -
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KMedicalImageScreener1
A Medical Scanner for Computer Aided Detection of MRI Scans
This app is JSP that has been tested for use in Computer Aided Detection of MRI scans in the cranial and abdominal areas for cancer detection. There was one case study completed with a very high accuracy rate of over 95% on test data. This app is provided as-is under the GNU License with Accrediation. Let me know what you think, Diana -
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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
...It includes reference implementations for key MRI reconstruction architectures such as U-Net and Variational Networks (VarNet), along with example scripts for model training and evaluation using the PyTorch Lightning framework. The project also releases several fully anonymized public MRI datasets, including knee, brain, and prostate scans. -
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Region-based spatial normalization
Region-based spatial normalization (RBSN) for functional MRI.
Region-based spatial normalization (RBSN) for functional MRI. He, Hengda, and Qolamreza R. Razlighi. "Landmark‐guided region‐based spatial normalization for functional magnetic resonance imaging." Human Brain Mapping (2022). -
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CineTracker
CineTracker GUI for motion tracking of cine MRI
CineTracker GUI for motion tracking of cine MRI Developed by Liam Lawrence and Angus Lau, Sunnybrook Health Sciences Centre -
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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... -
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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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These are plugins to Fiji (ImageJ) originally developed at Nuclear Medicine at Beth Israel, Boston MA. Pet_Ct_Viewer is for PET/SPECT - CT/MRI studies showing fusion of the modalities. Read_BI_Studies is for BI database activities. See http://petctviewer.org
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VR Neuroanatomy
Explore and dissect a complete brain model in VR
Understanding the anatomy of complex organs such as the human brain can be a challenge for students, so there is a definite advantage given to students who can experience the structures in a spatial way through real or virtual experiences. Since 2016, the Marquette Visualization Lab has been utilizing a dataset of 3 and 7 Tesla MRI scans from the Structural Informatics Group at University of Washington to visualize the structures of the brain in their Cave, utilizing the Unity game engine and 10 stereoscopic 3D projectors. Most MRI scans are presented as a volumetric rendering, but this dataset is unique because it was fully labelled and parcellated, allowing lab users to not only view the structures of the brain, but also virtually dissect it in a large scale, collaborative virtual reality environment. ... -
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Relative Overestimation VOP
VOP compression for MRI with overestimation control
**** This work is outdated! For better compression and speed use these: ***** https://sourceforge.net/projects/enhanced-sar-compression/ Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation. All algorithms are implemented in Matlab and were optimized for enhanced speed. Needs Matlab R2016b at least.... -
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Pediatric MRI Myelin+Diffusion Atlas
MRI atlas for myelin and diffusion distribution in pediatric brain.
Atlas is described in this paper: https://onlinelibrary.wiley.com/doi/full/10.1111/jon.12689. Structural template, myelin water fraction, fractional anisotropy, mean diffusivity, radial diffusivity and axial diffusivity atlases for children aged 9-10 years are provided for free download for pediatric neuroimaging applications.
