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Image from article in Radiology: Artificial Intelligence
Unsupervised learning framework detects blood-brain barrier leakage in diffuse #glioma without pharmacokinetic models and arterial input function https://doi.org/10.1148/ryai.240507 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
#AI model estimates respiratory disease mortality in an Asian health screening population https://doi.org/10.1148/ryai.240628 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Longitudinally aware segmentation network (LAS-Net) to quantify serial PET/CT images for pediatric patients with Hodgkin lymphoma https://doi.org/10.1148/ryai.240229 #UltraCon2025 #ultrasound #USRad #radiology
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Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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#DeepLearning approach to spectral quantitation matches conventional methods for echo-planar spectroscopic imaging data https://doi.org/10.1148/ryai.230579 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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#GAN method generates pseudo-contrast enhanced ultrasound images to assess tumor response https://doi.org/10.1148/ryai.240370 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Physics-Informed Autoencoder provided accurate #prostate tissue biomarker measurements from #MRI data https://doi.org/10.1148/ryai.240167 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
A method for post-hoc compression of TotalSegmentator https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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#MachineLearning to detect fetal brain abnormalities on #MRI https://doi.org/10.1148/ryai.240115 @bostonchildrens.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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Evaluating Performance of a #DeepLearning Multilabel Segmentation Model to Quantify Acute and Chronic Brain Lesions at MRI after Stroke and Predict Prognosis https://doi.org/10.1148/ryai.240072 #UltraCon2025 #ultrasound #USRad #radiology
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@_thomasli @MaldonadoFabien reveal the importance of interpreting a model’s performance relative to performance of other models on the same cohort https://doi.org/10.1148/ryai.230506 #UltraCon2025 #ultrasound #USRad #radiology
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Commentary on #YOLO v8 model trained on 491 noncontrast head CT volumes from the publicly available CQ500 dataset https://doi.org/10.1148/ryai.250032 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Can the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator be reduced via Tucker decomposition-based network compression? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Evaluating the Impact of Changes in AI-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes https://doi.org/10.1148/ryai.230597 @pennmedresearch.bsky.social @pennmedicine.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
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Deep learning for reliable & accurate segmentation of brain infarcts & white matter lesions https://doi.org/10.1148/ryai.240072 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Fetal #BrainAge prediction using #MRI to identify brain abnormalities https://doi.org/10.1148/ryai.240115 @bostonchildrens.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Commentary on #YOLO v8 model trained on 491 noncontrast head CT volumes from the publicly available CQ500 dataset https://doi.org/10.1148/ryai.250032 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
Pseudo-Contrast-Enhanced Ultrasound via Enhanced Generative Adversarial Networks for Evaluating Tumor Ablation Efficacy https://doi.org/10.1148/ryai.240370 #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
An uncertainty-aware #DeepLearning model to localize & classify 5 types of intracranial hemorrhage demonstrated state-of-the-art performance https://doi.org/10.1148/ryai.240032 @rsnasky.bsky.social #UltraCon2025 #ultrasound #USRad #radiology
Image from article in Radiology: Artificial Intelligence
#GAN method generates pseudo-contrast enhanced ultrasound images to assess tumor response https://doi.org/10.1148/ryai.240370 #UltraCon2025 #ultrasound #USRad
