Authors: James O’Callaghan, PhD, Riccardo Lattanzi, PhD, and Kai Tobias Block, PhD Center for Advanced Imaging Innovation and Research (CAI2R) Deploying AI applications into the radiology workflow just got easier with the introduction of MONAI Application Package (MAP) support to the mercure DICOM Orchestrator. By leveraging mercure’s flexible DICOM routing…

In the rapidly evolving field of medical imaging research, developers and researchers play a crucial role in advancing the state of the art. …

An exciting journey started three years ago when NVIDIA and King’s College London came together during MICCAI 2019 and formed Project MONAI as an initiative to develop a standardized, user-friendly, and open-source platform for Deep Learning in Medical Imaging. …

Project MONAI releases MONAI Core v0.9, MONAI Label v0.4, MONAI Deploy App SDK v0.4, and MONAI Deploy Informatics Gateway v0.2. MONAI focuses on two main topics for these releases, MONAI for Pathology and MONAI Bundles. First, MONAI is helping create a starting point for Pathologists, Data Scientists, and Researchers who…

Project MONAI is continuing to expand into the field of Pathology. With the release of MONAI Label v0.4, we have new features, sample applications, and viewer integrations that will help you get started with annotating Pathology images. Viewer Integration MONAI Label now integrates with three pathology viewers…

MONAI has released three new versions of its existing tools and is introducing a new tool to its deployment offering, introducing MONAI Deploy Inference Server. Researchers can quickly deploy and run MONAI Application Packages (MAPs) as scalable inference on their data using an existing Kubernetes cluster as cloud-native microservices. MONAI Core v0.8 The…

MONAI v0.6 and MONAI Label v0.1 are now available! MONAI Label is an intelligent image labeling and learning tool that enables users to create annotated datasets and build AI annotation models quickly. We’re excited to announce our latest release of MONAI, version 0.6. We continue to expand on our APIs…

MONAI has been working closely with DeepReg on learning-based medical image registration using PyTorch. In the latest release, MONAI v0.5.0, we are delighted to provide a set of essential tools for developing registration pipelines. Medical Image Registration Image registration, a process that spatially aligns one image with another, is important to many medical…

In the latest v0.5 release of MONAI, the team expands its transforms and workflows and now includes end-to-end applications based on new research areas. Let’s take a complete look at this latest release. Transforms The newest transforms for MONAI include SaveImage, EnsureChannelFirst, and a tech preview feature that allows you to…