RAM-H1200 introduces a public dataset of 1,200 hand X-rays with whole-hand bone segmentation, pixel-level bone erosion masks, and joint-level SvdH scores for both erosion and narrowing to enable unified RA analysis.
nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211
3 Pith papers cite this work. Polarity classification is still indexing.
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RadGenome-Anatomy is a large-scale chest radiograph dataset with anatomy labels obtained by projecting 3D CT masks into 2D radiographic space for 210 structures in 25,692 studies.
BAAI Cardiac Agent automates end-to-end cardiac MRI analysis for seven cardiovascular diseases, achieving AUC >0.93 internally and >0.81 externally with high correlation to expert measurements.
citing papers explorer
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RAM-H1200: A Unified Evaluation and Dataset on Hand Radiographs for Rheumatoid Arthritis
RAM-H1200 introduces a public dataset of 1,200 hand X-rays with whole-hand bone segmentation, pixel-level bone erosion masks, and joint-level SvdH scores for both erosion and narrowing to enable unified RA analysis.
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RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection
RadGenome-Anatomy is a large-scale chest radiograph dataset with anatomy labels obtained by projecting 3D CT masks into 2D radiographic space for 210 structures in 25,692 studies.
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BAAI Cardiac Agent: An intelligent multimodal agent for automated reasoning and diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging
BAAI Cardiac Agent automates end-to-end cardiac MRI analysis for seven cardiovascular diseases, achieving AUC >0.93 internally and >0.81 externally with high correlation to expert measurements.