AICONS Lab

Software

Open-source tools and pipelines developed by the AICONS Lab for neuroimage registration, segmentation, and connectivity analysis, used across animal and human studies.

AICONSlab

Check out our GitHub page for the latest repositories

Github

MIRACL

Multi-modal Image Registration And Connectivity anaLysis

General purpose pipeline for registration, segmentation, tract tracing & connectivity analyses in animal models

Check on github

HippMapp3r

CNN-based segmentation technique of the whole hippocampus from MRI

Check on github

ROOD-MRI

Robustness of deep learning segmentation models to Out-Of-Distribution data in MRI

DL benchmarking platform for OOD data in MRI

Check on github

HyperMapp3r

Bayesian CNN for White Matter Hyperintensities segmentation and uncertainty estimation

Check on github

icvMapp3r

Unet for robust whole brain segmentation / skull-stripping

Check on github

VentMapp3r

Unet for robust ventricular segmentation

Check on github

3DINO

A generalizable 3D framework for self-supervised learning in medical imaging

Generalizable 3D self-supervised learning framework and model for medical imaging

Check on github

segcsvd

Segmentation tool for cerebral small vessel disease

Check on github

NOVAS3D

CNN-based pipeline to extract vascular networks from 3D fluorescent microscopy images and track their morphological changes across time

Check on github

AD_connectome_gradients

Connectome gradient analysis pipeline for Alzheimer's disease

Check on github