mrivismedical image visualization library and development toolkit
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clinicaSoftware platform for clinical neuroimaging studies
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ExtensionsindexSlicer extensions index
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DipyDIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
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SlicergitsvnarchiveMulti-platform, free open source software for visualization and image computing.
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brainGraphGraph theory analysis of brain MRI data
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clinicadlFramework for the reproducible processing of neuroimaging data with deep learning methods
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Dcm2BidsReorganising NIfTI files from dcm2niix into the Brain Imaging Data Structure
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nanoseqNanopore demultiplexing, QC and alignment pipeline
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staginSTAGIN: Spatio-Temporal Attention Graph Isomorphism Network
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2D-and-3D-Deep-AutoencoderConvolutional AutoEncoder application on MRI images
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mne-bidsMNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
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cortex-v2-exampleExample with Cortex V2 API
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FAIR.mFlexible Algorithms for Image Registration
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giftiMATLAB/Octave GIfTI Library
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Brain-MRI-SegmentationSmart India Hackathon 2019 project given by the Department of Atomic Energy
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MIRACLMulti-modal Image Registration And Connectivity anaLysis
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