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NeuroImage Computing Group's Projects

braintools icon braintools

Repository with C++ code based on ITK for brain MRI processing

cnn-longitudinal icon cnn-longitudinal

Repository with a CNN implementation for logitudinal MS lesion segmentation.

covid19 icon covid19

Resources for COVID-19 detection in x-rays

iseg2017-nic_vicorob icon iseg2017-nic_vicorob

Implementation of the nic_vicorob team for addressing the MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg2017

isles22-vicorob icon isles22-vicorob

Algorithm submitted by the VICOROB team to the Test Phase of ISLES'22 challenge

lits icon lits

Lesion Inpainting and Tissue Segmentation, development framework used in "Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry"

lr-t2-w-lesions icon lr-t2-w-lesions

Logistic Regression Model for New Multiple Sclerosis Lesions Detection

marga icon marga

Skull-stripping toolbox for T1w and T2w MRI

msseg icon msseg

Automated brain tissue segmentation of Magnetic Resonance Images containing White Matter lesions.

nic_tools icon nic_tools

A set of docker images containing our NIC brain image analysis tools

nicmslesions icon nicmslesions

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

parietal icon parietal

PARIETAL: Yet another deeP leARnIng brain ExTrAtion tooL

slf icon slf

Lesion filling toolbox. University of Girona

stroke-mri-segmentation icon stroke-mri-segmentation

Development framework of the paper "Acute and sub-acute stroke lesion segmentation from multimodal MRI"

sunet-architecture icon sunet-architecture

SUNet: a deep learning architecture for acute stroke lesion segmentation and outcome prediction in multimodal MRI

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