Presents COMMA, a coordinate-aware Mamba network for 3D vessel segmentation that uses global and local branches, along with a new 570-case labeled dataset.
Efficient automatic segmentation for multi-level pulmonary arteries: The parse challenge
3 Pith papers cite this work, alongside 11 external citations. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
In a private dataset of 353 patients, medical records and cardiac biomarkers outperform vascular biomarkers and GNNs on vascular graphs for PE risk stratification, suggesting vascular graphs hold no discriminative information.
VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.
citing papers explorer
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COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
Presents COMMA, a coordinate-aware Mamba network for 3D vessel segmentation that uses global and local branches, along with a new 570-case labeled dataset.
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Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need
In a private dataset of 353 patients, medical records and cardiac biomarkers outperform vascular biomarkers and GNNs on vascular graphs for PE risk stratification, suggesting vascular graphs hold no discriminative information.
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Sparse Representation Learning for Vessels
VAEsselSparse applies sparse convolutions and attention in a VAE to achieve 8x8x8 spatial compression of organ-scale vascular data while preserving reconstruction quality and clinically useful features for classification and generation.