MASI Lab @ Vanderbilt (MASILab)

MASI Lab @ Vanderbilt

MASILab

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Medical-image Analysis and Statistical Interpretation (MASI)

Location:United States of America

Home Page:https://my.vanderbilt.edu/masi/

Twitter:@MASI_Lab

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MASI Lab @ Vanderbilt 's repositories

SLANTbrainSeg

Deep Whole Brain Segmentation Using SLANT Method

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Synb0-DISCO

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

PreQual

An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

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pyPheWAS

MASI Lab Implementation of PheWAS in Python

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UNesT

The official Pytorch implementation of UNesT

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SynBOLD-DisCo

Synthetic BOLD images for distortion correction of fMRI without additional calibration scans

S-EFOV

S-EFOV: Thoracic CT-based Body Composition Analysis with Semantically Extended FOV

cornn_tractography

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

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AtlasToDiffusionReg

singularity to register an atlas to the diffusion space of a subject

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atlas_surface_rendering

Generate a surface to show the deformation from registering subjects to an atlas

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deedsBCV_multimodal_mri

Forked to include pre and post processing to enable registration of abdominal T1 and T2 MRI. Both of these modlaities are differently anisotropic. These modifications allow for deeds deformably registered moving image to align with the unaltered anisotropic fixed image.

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masimrs

2D PRESS MRSI Processing for Philips Enhanced DICOM and Siemens DICOM data with LCModel

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nnUNet_midl_2024

add custom models

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nucleus_and_cell_classification_on_he

Classify nuclei/cells on intestinal H&E into 14 different classes

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