aramis-lab Goto Github PK

ad-dl

Classification of Alzheimer's disease status with convolutional neural networks.

ad-ml

Framework for the reproducible classification of Alzheimer's disease using machine learning

axial-mlp

Implementation of Axial-MLP in PyTorch

clinica

Software platform for clinical neuroimaging studies

clinica-pydra-ants

Pydra tasks for ANTs designed for Clinica

clinica-pydra-freesurfer

Pydra tasks for FreeSurfer designed for Clinica

clinica-pydra-fsl

Pydra tasks for FSL designed for Clinica

clinica-pydra-petpvc

Pydra tasks for PETPVC designed for Clinica

clinica_pipeline_fmri_preprocessing

fMRI-Preprocessing pipeline used for [Guillon et al., 2019]

clinica_pipeline_noddi

NODDI pipeline used for [Wen et al., 2018]

clinicadl

Framework for the reproducible processing of neuroimaging data with deep learning methods

clinicadl-pythae

clinicadl_bis

Framework for the reproducible processing of neuroimaging data with deep learning methods

clinicadl_handbook

Tutorial to use (new version of) clinicadl (>1.0.3)

dataset-registry

Public dataset registry for dvc

dl4mi

Workshop Deep Learning for Medical Imaging

handbook

The Aramis Lab Handbook

hiplay7-recombine

hiplay7-thickness

histo_mri

Code for assessing the possibility to detect neurofibrilary tangles in MR images of mouse brains using histological cuts and deep learning

idhm2022-bids-primer

idhm2022-pydra-demo

miccai-educational-challenge-2020

AD Classification using Clinica

miccai2022-stratifiad

notebooks-ad-dl

Notebooks for classification of Alzheimer's disease using deep learning

now-2023

Repository for the 2023 NeuroScience Open Workshop

now-2023-lib

Library to be used for NOW 2023 workshop

pac2019

PAC 2019 challenge: predict a subject's age from it's brain MR Image

pydra-bids

Pydra tasks for BIDS I/O

pydra-brainstat

Pydra tasks for BrainStat