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A new foundation model for digital mammography that extracts key information from images and reports in label-limited settings https://doi.org/10.1148/ryai.240646 #ASSR26 #NeuroRad #MSKRad #radiology
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From RSNA to SPR, Kaggle challenges promote AI innovation radiologyai.substack.com/p/spr-launches-a-new-kag... #ASSR26 #NeuroRad #MSKRad #radiology
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Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #ASSR26 #NeuroRad #MSKRad #radiology
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US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach https://doi.org/10.1148/ryai.250056 #ASSR26 #NeuroRad #MSKRad #radiology
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Deep Learning for Coronary Stenosis Detection in Heavily Calcified Plaques at Coronary CT Angiography: A Stepwise, Multicenter Study https://doi.org/10.1148/ryai.250109 #ASSR26 #NeuroRad #MSKRad #radiology
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Why word count limits still matter in the age of digital articles radiologyai.substack.com/p/why-word-count-limits-... #ASSR26 #NeuroRad #MSKRad #radiology
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Normative Trajectories of Extra-Axial Cerebrospinal Fluid during Childhood and Adolescence Defined in a Clinically Acquired MRI Dataset https://doi.org/10.1148/ryai.250123 #ASSR26 #NeuroRad #MSKRad #radiology
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In new Kaggle challenge, SPR asks researchers to predict BI-RADS from mammography reports radiologyai.substack.com/p/spr-launches-a-new-kag... #ASSR26 #NeuroRad #MSKRad #radiology
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A retrospective study of 127,114 patients establishes reference charts for CT-derived, whole-body anatomic volumes https://doi.org/10.1148/ryai.250506 #ASSR26 #NeuroRad #MSKRad #radiology
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Visualizing Radiologic Connections: An Explainable Coarse-to-Fine Foundation Model with Multiview Mammograms and Associated Reports https://doi.org/10.1148/ryai.240646 #ASSR26 #NeuroRad #MSKRad #radiology
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Deep learning–based assessment of coronary stenosis in vessels with heavily calcified plaques on coronary CT angiography https://doi.org/10.1148/ryai.250109 #ASSR26 #NeuroRad #MSKRad #radiology
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Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #ASSR26 #NeuroRad #MSKRad #radiology
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From RSNA to SPR, Kaggle challenges promote AI innovation radiologyai.substack.com/p/spr-launches-a-new-kag... #ASSR26 #NeuroRad #MSKRad #radiology
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Leveraging free-text neuroradiology reports to develop a self-supervised text-vision framework for detecting abnormalities on brain MRI https://doi.org/10.1148/ryai.240619 #ASSR26 #NeuroRad #MSKRad #radiology
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Are Ontologies Still Relevant in the Modern Era of AI? ... Yes! radiologyai.substack.com/p/are-ontologies-still-r... #ASSR26 #NeuroRad #MSKRad #radiology
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Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration https://doi.org/10.1148/ryai.250651 #ASSR26 #NeuroRad #MSKRad #radiology
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MRI-derived extra-axial cerebrospinal fluid (eaCSF) reference values for children and adolescents: a tool for assessing atypical eaCSF development https://doi.org/10.1148/ryai.250123 #ASSR26 #NeuroRad #MSKRad #radiology
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Maddy Cappelloni discusses the value of word counts limits in new blog post radiologyai.substack.com/p/why-word-count-limits-... #ASSR26 #NeuroRad #MSKRad #radiology
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From RSNA to SPR, Kaggle challenges promote AI innovation radiologyai.substack.com/p/spr-launches-a-new-kag... #ASSR26 #NeuroRad #MSKRad #radiology
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New mammography dataset with BI-RADS, breast density, machine ID, and outcome data freely available to the research community https://doi.org/10.1148/ryai.250375 #ASSR26 #NeuroRad #MSKRad #radiology
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Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-level Identification Risks to Federated Learning and Synthetic Data Challenges https://doi.org/10.1148/ryai.250273 #ASSR26 #NeuroRad #MSKRad #radiology
