Popular GitHub Repositories for Monai

AI Toolkit for Healthcare Imaging

MONAI Label is an intelligent open source image labeling and learning tool.

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)

This is Pooya Mohammadi, Open Source Enthusiast, AI Developer & Researcher

teeth segmentation using pytorch and monai

Building detection from the SpaceNet dataset using UNet.

A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.

Deep learning based cardiac segmentation

training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled Decoder

Code for the paper CTFSH: Full Head CT Anomaly Detection with Unsupervised Learning

This repository implements a 3D U-Net model for segmenting HIE lesions in neonatal MRI scans, exploring various loss functions including Dice, Dice-Focal, Tversky, Hausdorff Distance, and hybrid loss functions. BONBID-HIE dataset is used for this study.