Pulmonary Embolism Risk Stratification from CTPA and Medical Records: Vascular Graphs Are Not All You Need

arXiv:2606.25956 · cs.CV, cs.AI, cs.LG, eess.IV · Submitted 2026-06-24 · Read on arXiv

cs.CV, cs.AI, cs.LG, eess.IV

Submitted: 2026-06-24

Updated: 2026-06-26

Code: https://github.com/creatis-myriad/GENESIS

Terminology

• GNNs — 24× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Virtual Node — 7× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Late Fusion — 6× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Computed Tomography Pulmonary Angiography — 3× in this paper
• Foundation Models — 3× in this paper · explained in 7 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Graph Transformers — 2× in this paper
• Multimodal Fusion — 2× in this paper · explained in 3 episodes
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• AUROC — 1× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Digital Twin — 1× in this paper · explained in 5 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• nnU-Net — 1× in this paper · explained in 2 episodes

Sources

• A Patient-Specific Pulmonary Arterial Tree Digital Twin to Extract Pulmonary Embolism Biomarkers
• Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
• Graph Classification via Deep Learning with Virtual Nodes

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