armaneshaghi

adv-r

Advanced R programming: a book

ANTs

Advanced Normalization Tools (ANTs)

antsCorticalThicknessExample

A dreaded sunny day / So I meet you at the cemetery gates / Keats and Yeats are on your side / While Wilde is on mine

DCMPy

Python module for longitudinal surface-based DCM of fMRI data

LesionFilling_example

A reproducible example on how to use ANTs' lesion filling program

nifti2jpg

Ranger's plugin to view MRI files without opening

nipype_concepts

Tutorial notebooks for Nipype

trained_models_MS_SuStaIn

Trained models for the MS SuStaIn paper

mindGlide

Brain Segmentation with MONAI and Dynamic Unet (nn-unet)

armaneshaghi/DCMPy

Python module for longitudinal surface-based DCM of fMRI data

armaneshaghi/trained_models_MS_SuStaIn

Trained models for the MS SuStaIn paper

armaneshaghi/AsynDGAN

AsynDGAN project source code.

armaneshaghi/autoprognosis

A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.

armaneshaghi/brain-coloring-website

BrainPainter Website code

armaneshaghi/causalTrialModel

Manuscript codes with fake data simulation

armaneshaghi/citation-gates

code to generate passage of citations through animated reproducibility gates

armaneshaghi/deeplearning-models

A collection of various deep learning architectures, models, and tips

armaneshaghi/DeepReg

Medical image registration using deep learning (under development)

armaneshaghi/dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

armaneshaghi/genomics-secondary-analysis-using-aws-step-functions-and-aws-batch

This solution provides a framework for Next Generation Sequencing (NGS) genomics secondary-analysis pipelines using AWS Step Functions and AWS Batch.

armaneshaghi/istn

Image-and-Spatial Transformer Networks

armaneshaghi/kwyk

Knowing what you know - Bayesian brain parcellation

armaneshaghi/lab2im

Library for generating images by sampling a GMM conditioned on label maps

armaneshaghi/MONAI

AI Toolkit for Healthcare Imaging

armaneshaghi/nipype_codes_ipmsa

armaneshaghi/phinet

Classifying modalities in magnetic resonance brain imaging

armaneshaghi/Pizarro-et-al-2018-DL-identifies-MRI-contrasts

armaneshaghi/progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

armaneshaghi/pySuStaIn

Python translation of the Subtype and Stage Inference (SuStaIn) model, including an example using simulated data.

armaneshaghi/QuickNATv2

Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)

armaneshaghi/Recursive-Cascaded-Networks

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

armaneshaghi/sae

An Auto-Encoder Strategy for Adaptive Image Segmentation (SAE)

armaneshaghi/stan-vim

A Vim plugin for the Stan probabilistic programming language.

armaneshaghi/stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

armaneshaghi/sunrise

armaneshaghi/surface_tools

Tools for mesh surface-based operations

armaneshaghi/torchio

Tools for loading, augmenting and writing 3D medical images with PyTorch.

armaneshaghi/TrainedSuStaInModels

Repository of Trained SuStaIn models

armaneshaghi/wmhchallenge

Example docker containers for the WMH Segmentation Challenge