DLMUSE: Robust Brain Segmentation in Seconds Using #DeepLearning https://doi.org/10.1148/ryai.240299 @upenn.edu #ASHNR25 #ASHNR2025 #HNRad #radiology

A #DeepLearning framework synthesizes anatomically accurate infant brain MRIs, outperforming competing methods in image quality and tissue segmentation ​ https://doi.org/10.1148/ryai.240708 #ASHNR25 #ASHNR2025 #HNRad #radiology

Open-source deep learning model for fully automated brain MRI segmentation https://doi.org/10.1148/ryai.240299 @upenn.edu #ASHNR25 #ASHNR2025 #HNRad #radiology

From birth to 2 years, brain volume doubles and gray matter grows rapidly. ​ A novel #AI framework charts developmental trajectories using synthesized MRIs https://doi.org/10.1148/ryai.240708 #ASHNR25 #ASHNR2025 #HNRad #radiology

Deep learning method for lumbar paraspinal muscle segmentation on MRI https://doi.org/10.1148/ryai.240833 @griffith.edu.au‬ #ASHNR25 #ASHNR2025 #HNRad #radiology

💡 Revolutionizing neuroimaging: DLMUSE segments brain MRIs in seconds, enabling large-scale studies without the need for complex setups -- Dive into the future of brain research! https://doi.org/10.1148/ryai.240299 @upenn.edu #ASHNR25 #ASHNR2025 #HNRad #radiology

Single Inspiratory Chest CT-based Generative Deep Learning Models to Evaluate Functional Small Airway Disease https://doi.org/10.1148/ryai.240680 #ASHNR25 #ASHNR2025 #HNRad #radiology

Generative model, using a single inspiratory CT, outperformed existing algorithms in parametric response map evaluation https://doi.org/10.1148/ryai.240680 #ASHNR25 #ASHNR2025 #HNRad #radiology

Summary of the current state of validation rigor & transparency in FDA marketing authorization of AI-enabled devices in radiology https://doi.org/10.1148/ryai.250369 @danafarber.bsky.social @fda.gov #ASHNR25 #ASHNR2025 #HNRad #radiology

Infant brain development involves rapid changes in volume, cortical folding, and myelination. ​ A new 3-stage framework models these changes to accurately predict missing MRI time points https://doi.org/10.1148/ryai.240708 #ASHNR25 #ASHNR2025 #HNRad #radiology