• Stars
    star
    976
  • Rank 46,560 (Top 1.0 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created about 4 years ago
  • Updated 3 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Implementations of recent research prototypes/demonstrations using MONAI.

MONAI Research Contributions is a platform built to showcase cutting-edge research utilizing MONAI. This enables the community to see MONAI “in action” and researchers to gain visibility for their MONAI-based work. The repository is regularly reviewed and selected contributions that have demonstrated their popularity or relevance can be integrated into MONAI components in a second step. Contributions are welcome! Simply follow the contribution guidelines stated below and file a pull request.

Contribution Guidelines:

  1. Contributions are required to be published and have successfully undergone peer-review (If the contributing person is not the author of the work, no approval from the authors of the paper is required, but the contribution needs to be clearly labeled as a “Third-party contribution”).

  2. The implementation is required to feature MONAI components to a substantial extent.

  3. The implementation is required to include a boilerplate shell script (to be published) allowing code-reviewers to execute the code and reproduce the paper’s results with one click.

  4. Under the hood, code quality does not have to match standards of the MONAI main repository, as the Research Contribution repository aims at a fast track for code change proposals and demonstrating cutting-edge research ideas.

  5. New contributions will be given a MONAI version tag (visible in the associated Readme) according to the utilized version of MONAI. This avoids the need to maintain compatibility of contributions for following MONAI releases.

More Repositories

1

MONAI

AI Toolkit for Healthcare Imaging
Python
5,655
star
2

tutorials

MONAI Tutorials
Jupyter Notebook
1,717
star
3

MONAILabel

MONAI Label is an intelligent open source image labeling and learning tool.
Python
586
star
4

GenerativeModels

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
Jupyter Notebook
581
star
5

model-zoo

MONAI Model Zoo that hosts models in the MONAI Bundle format.
Python
178
star
6

MONAIBootcamp2021

Materials for the 2021 MONAI Bootcamp
Jupyter Notebook
106
star
7

monai-deploy

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
Shell
98
star
8

VISTA

MONAI Versatile Imaging Segmentation and Annotation
Python
95
star
9

monai-deploy-app-sdk

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
Jupyter Notebook
88
star
10

MetricsReloaded

Python
67
star
11

MONAIBootcamp2020

Material for the 2020 MONAI Bootcamp
Jupyter Notebook
66
star
12

monai-bootcamp

Jupyter Notebook
61
star
13

monai-deploy-informatics-gateway

MONAI Deploy Informatics Gateway facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of workflows with the MONAI Deploy Workflow Manager and offers pushing the output to PACS systems.
C#
26
star
14

SlicerMONAIViz

MONAIViz - 3D Slicer Extension
Python
21
star
15

MONAIStream

The codebase is currently NOT under active development.
Python
18
star
16

monai-deploy-workflow-manager

Repository containing the Workflow Manager sub-system part of MONAI Deploy.
C#
13
star
17

monai-deploy-app-server

Application server that will run MAPs (MONAI Application Package)
Python
9
star
18

monai-deploy-storage

Storage layer for MONAI Deploy clinical data pipelines system
C#
5
star
19

project-monai.github.io

project monai website https://monai.io/
HTML
5
star
20

MONAI-extra-test-data

Repository containing extra test data for MONAI
Python
4
star
21

monai-tutorial-miccai-2023

MONAI tutorial website for MICCAI 2023
HTML
3
star
22

monai-code-formatter

A github action for automatically formatting source code files for MONAI
HTML
2
star
23

monai-deploy-messaging

MONAI Deploy communication system between clinical data pipelines components
C#
2
star
24

GliMR_workshop

Notebooks for the MONAI session of GliMR workshop. Brain tumour classification and segmentation
Jupyter Notebook
2
star
25

monai-tutorial-miccai-2022

HTML
2
star
26

.github

for the Project-MONAI org level configurations on GitHub
1
star