metrics-lab

CorticalAsymmetry

Code and file repository for analyses published in Williams, L. Z. J. et al. (2022). Structural and functional cortical asymmetry in the neonatal cerebral cortex.

docker-introduction

Introduction to docker usage with deep learning

ICAM

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

Posters

Repository containing posters presented at scientific conferences

SLCN_challenge

ST-fMRI

This repository contains code for spatio-temporal deep learning on functional MRI data

surface-deep-learning-tutorial

This repo is used for the OHBM symposium on surface deep learning

surface-masked-autoencoders

surface-vision-transformers

This repository contains code to apply vision transformers on surface data

talks_and_tutorials

Talk and tutorial materials

metrics-lab/surface-vision-transformers

This repository contains code to apply vision transformers on surface data

metrics-lab/ST-fMRI

This repository contains code for spatio-temporal deep learning on functional MRI data

metrics-lab/SLCN_challenge

metrics-lab/surface-masked-autoencoders

metrics-lab/CorticalAsymmetry

Code and file repository for analyses published in Williams, L. Z. J. et al. (2022). Structural and functional cortical asymmetry in the neonatal cerebral cortex.

metrics-lab/surface-deep-learning-tutorial

This repo is used for the OHBM symposium on surface deep learning

metrics-lab/docker-introduction

Introduction to docker usage with deep learning

metrics-lab/ICAM

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping

metrics-lab/Posters

Repository containing posters presented at scientific conferences

metrics-lab/talks_and_tutorials

Talk and tutorial materials

metrics-lab/VoronoiParcellation

Python code snippet for generating random parcellations on the cortical surface

metrics-lab/metrics-lab.github.io

METRICS Lab website

metrics-lab/transformer-tutorial