TinyUSFM-uLPIPS and TinyUSFM-NRQ provide task-linked, cross-organ, and clinically predictive quality assessment for ultrasound images that outperforms conventional metrics in calibration with segmentation performance and sonographer preference.
USFM : A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
PolarMAE is a new unsupervised pre-training method for fetal ultrasound that uses progressive visual-semantic screening, acoustic-bounded constraints, and polar-texture masking to reach state-of-the-art performance on downstream interpretation tasks.
LAMAE adds latent-space attention to masked autoencoders so multi-view echocardiography videos can exchange information across frames and views, yielding representations that transfer from adult to pediatric hearts and enable ICD-10 code prediction on MIMIC-IV-ECHO.
citing papers explorer
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Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
TinyUSFM-uLPIPS and TinyUSFM-NRQ provide task-linked, cross-organ, and clinically predictive quality assessment for ultrasound images that outperforms conventional metrics in calibration with segmentation performance and sonographer preference.
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PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking
PolarMAE is a new unsupervised pre-training method for fetal ultrasound that uses progressive visual-semantic screening, acoustic-bounded constraints, and polar-texture masking to reach state-of-the-art performance on downstream interpretation tasks.
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Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography
LAMAE adds latent-space attention to masked autoencoders so multi-view echocardiography videos can exchange information across frames and views, yielding representations that transfer from adult to pediatric hearts and enable ICD-10 code prediction on MIMIC-IV-ECHO.