NeuroImage Computing Group

SUNet-architecture

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

stroke-core-ct-segmentation

Docker for running stroke lesion core segmentation

cnn-ms-lesion-segmentation

MS lesion segmentation using cascaded 3D convolutional neural networks

SLSToolBox

Automated white matter lesion segmentation

tissue_segmentation_comparison

sub-cortical_segmentation

Sub-cortical brain tissue segmentation using CNN

MS_Lesions_Generator

MS_Lesions_Generator

nicMSlesions

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

stroke-mri-segmentation

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

COVID19

Resources for COVID-19 detection in x-rays

nic_tools

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

braintools

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

isles22-vicorob

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

LR-T2-w-Lesions

Logistic Regression Model for New Multiple Sclerosis Lesions Detection

MARGA

Skull-stripping toolbox for T1w and T2w MRI

MSSEG

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

atrophy-generation

cnn-longitudinal

Repository with a CNN implementation for logitudinal MS lesion segmentation.

hematoma-expansion-prediction

iSeg2017-nic_vicorob

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

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"

mrbrains18_vicorob_docker

Docker submitted to the MICCAI MRBrainS18

PARIETAL

PARIETAL: Yet another deeP leARnIng brain ExTrAtion tooL

SLF

Lesion filling toolbox. University of Girona