Arman Eshaghi (armaneshaghi)

armaneshaghi

Geek Repo

Company:University College London

Location:London, UK

Home Page:http://www.ms-pinpoint.com

Twitter:@es_arman

Github PK Tool:Github PK Tool


Organizations
AdvancedNormalizationTools
ANTs-R

Arman Eshaghi's repositories

DCMPy

Python module for longitudinal surface-based DCM of fMRI data

Language:PythonStargazers:3Issues:1Issues:0

trained_models_MS_SuStaIn

Trained models for the MS SuStaIn paper

License:MITStargazers:2Issues:1Issues:0

AsynDGAN

AsynDGAN project source code.

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:0Issues:0

autoprognosis

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

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

brain-coloring-website

BrainPainter Website code

Language:JavaScriptStargazers:0Issues:1Issues:0

causalTrialModel

Manuscript codes with fake data simulation

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

citation-gates

code to generate passage of citations through animated reproducibility gates

Language:RStargazers:0Issues:1Issues:0

deeplearning-models

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

License:MITStargazers:0Issues:0Issues:0

DeepReg

Medical image registration using deep learning (under development)

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

dinov2

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

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

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.

Language:ShellLicense:Apache-2.0Stargazers:0Issues:1Issues:0

istn

Image-and-Spatial Transformer Networks

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

kwyk

Knowing what you know - Bayesian brain parcellation

License:Apache-2.0Stargazers:0Issues:0Issues:0

lab2im

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

Language:PythonStargazers:0Issues:1Issues:0

MONAI

AI Toolkit for Healthcare Imaging

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0
Stargazers:0Issues:0Issues:0

phinet

Classifying modalities in magnetic resonance brain imaging

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

progressive_growing_of_gans

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

Language:PythonLicense:NOASSERTIONStargazers:0Issues:0Issues:0

pySuStaIn

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

Language:PythonStargazers:0Issues:1Issues:0

QuickNATv2

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

Language:MatlabLicense:MITStargazers:0Issues:1Issues:0

Recursive-Cascaded-Networks

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

sae

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

Language:PythonStargazers:0Issues:1Issues:0

stan-vim

A Vim plugin for the Stan probabilistic programming language.

Language:Vim ScriptLicense:MITStargazers:0Issues:1Issues:0

stanford_alpaca

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

License:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:2Issues:0

surface_tools

Tools for mesh surface-based operations

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

torchio

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

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

TrainedSuStaInModels

Repository of Trained SuStaIn models

License:MITStargazers:0Issues:1Issues:0

wmhchallenge

Example docker containers for the WMH Segmentation Challenge

Language:MatlabStargazers:0Issues:1Issues:0