dbericat

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

MONAI

AI Toolkit for Healthcare Imaging

m3

M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform

BioGPT

TotalSegmentator

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

RadImageNet

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

hi-ml

HI-ML toolbox for deep learning for medical imaging and Azure integration

highdicom

High-level DICOM abstractions for the Python programming language

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

cloud-native-stack

Run cloud native workloads on NVIDIA GPUs

PriMIA

PriMIA: Privacy-preserving Medical Image Analysis

sawIntuitiveResearchKit

cisst/SAW stack for the da Vinci Research Kit (dVRK)

holoscan-sdk

The AI sensor processing SDK for low latency streaming workflows

monai-deploy

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

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

RadFact

A metric suite leveraging the logical inference capabilities of LLMs, for radiology report generation both with and without grounding

.github

clara-dicom-adapter

DICOM Adapter is a component of the Clara Deploy SDK which facilitates integration with DICOM compliant systems, enables ingestion of imaging data, helps triggering of jobs with configurable rules and offers pushing the output of jobs to PACS systems.

MedImaging-ModelDriftMonitoring

iaiabl

This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x

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.

TotalSegmentator-AIDE

TotalSegmentator packaged as an AIDE Application, based on the MONAI Application Package (MAP) standard.

inference-sdk

SDK for integrating ML models with the Arterys platform

MONAIStream

The codebase is currently NOT under active development.

clara-ia

CUDA accelerated medical imaging algorithms

monai-deploy-workflow-manager

Repository containing the Workflow Manager sub-system part of MONAI Deploy.

monai-deploy-app-server

Application server that will run MAPs (MONAI Application Package)

project-medid

lungair-desktop-application

Desktop application for AI-based BPD risk analysis

ICH_DETECTION_PROGNOSIS_2D3D