Arman Eshaghi's repositories
trained_models_MS_SuStaIn
Trained models for the MS SuStaIn paper
autoprognosis
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
brain-coloring-website
BrainPainter Website code
causalTrialModel
Manuscript codes with fake data simulation
citation-gates
code to generate passage of citations through animated reproducibility gates
deeplearning-models
A collection of various deep learning architectures, models, and tips
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
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.
istn
Image-and-Spatial Transformer Networks
kwyk
Knowing what you know - Bayesian brain parcellation
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
QuickNATv2
Fast Whole Brain Segmentation (Layers, codes and Pre-trained Models)
Recursive-Cascaded-Networks
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
surface_tools
Tools for mesh surface-based operations
TrainedSuStaInModels
Repository of Trained SuStaIn models
wmhchallenge
Example docker containers for the WMH Segmentation Challenge