Monai
PulseAugur coverage of Monai — every cluster mentioning Monai across labs, papers, and developer communities, ranked by signal.
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New AI Framework PR3DICTR Streamlines 3D Medical Image Analysis
Researchers have developed PR3DICTR, a new open-access AI framework designed for 3D medical image analysis. Built with PyTorch and MONAI, the platform offers a modular and standardized approach to developing prediction …
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NVIDIA partners with European governments on open-source AI for public services
NVIDIA is collaborating with European governments and companies to deploy open-source AI models for public sector projects. These initiatives aim to enhance public services, such as healthcare and employment assistance,…
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Biomedical imaging AI progress stalled by data silos, not model limitations
The primary challenge in advancing biomedical imaging AI is not the development of more sophisticated models, but rather the accessibility and usability of the data itself. Imaging data is often siloed within hospital s…
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Children's Hospital uses NVIDIA AI to model pediatric hearts in seconds
The Children's Hospital of Philadelphia (CHOP) is leveraging open-source AI tools, specifically the MONAI framework co-founded by NVIDIA, to create detailed 3D models of children's hearts in seconds. This technology sig…
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AI lung cancer screening boosted by simulated CT scans
Researchers have developed a novel method using physics-based, anatomy-informed simulated CT scans to address the scarcity of annotated data in AI-based lung cancer screening. By creating digital human twins and simulat…
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RadHarmony library simplifies AI integration for radiological data
A new open-source Python library called RadHarmony has been developed to streamline the process of handling diverse radiological datasets for deep learning applications. It offers a unified API for loading, harmonizing,…
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MONAI and U-Net Enhance 3D Medical Image Segmentation
Researchers are leveraging MONAI and U-Net to advance 3D medical image segmentation. These tools are enabling more accurate and efficient end-to-end segmentation pipelines, as demonstrated by a recent tutorial focused o…
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MONAI Tutorial: End-to-End 3D Spleen Segmentation with UNet
This tutorial demonstrates an end-to-end 3D medical image segmentation pipeline using the MONAI framework. It focuses on segmenting the spleen from CT volumes using a 3D UNet model. The process involves extensive medica…
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New augmentation technique boosts medical image segmentation across CT and MRI
Researchers have developed a novel data augmentation technique to improve the cross-modality generalization of deep learning models for 3D spine segmentation in medical imaging. This approach significantly boosts perfor…