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  1. MONAI - Medical Open Network for AI

    MONAI is the leading open-source framework for healthcare imaging AI, trusted by researchers and clinicians worldwide. Build, train, and deploy medical AI solutions with industry-standard …

  2. GitHub - Project-MONAI/MONAI: AI Toolkit for Healthcare Imaging

    MONAI works with the currently supported versions of Python, and depends directly on NumPy and PyTorch with many optional dependencies. Major releases of MONAI will have …

  3. Moñái - Wikipedia

    Moñái is the third son of Tau and Kerana and one of the seven legendary monsters of Guaraní mythology. This creature has an enormous serpent -like body with two straight, colorful horns …

  4. Medical Open Network for Artificial Intelligence (MONAI)

    Jul 11, 2023 · MONAI (Medical Open Network for AI) is an open-source domain-specific framework for healthcare and medical imaging research. It offers tools, data structures, and …

  5. MONAI: An open-source framework for deep learning in healthcare

    Nov 4, 2022 · This work introduces MONAI, a freely available, community-supported, and consortium-led PyTorch-based framework for deep learning in healthcare.

  6. MONAI (MONAI) - Hugging Face

    MONAI/brain_image_synthesis_latent_diffusion_model ... MONAI/classification_template ... MONAI/pathology_nuclei_segmentation_classification ...

  7. NVIDIA MONAI - NVIDIA Docs

    The NVIDIA MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep …

  8. monai · PyPI

    MONAI works with the currently supported versions of Python, and depends directly on NumPy and PyTorch with many optional dependencies. Major releases of MONAI will have …

  9. Project MONAIMONAI public alpha documentation

    Getting started ¶ Tutorials & examples are located at monai/examples. Technical documentation is available via Read the Docs.

  10. Intro to MONAI.ipynb - Colab

    Welcome to the MONAI bootcamp! This notebook will introduce you to the MONAI Core design and architecture. You'll get some hands-on examples with transforms, dataset loaders, …