ConceptVAE learns to discretize echocardiograms into fine-grained anatomical concepts and per-concept styles without labels, and reports gains over a VICReg baseline on retrieval, segmentation, and OOD detection.
Systematic comparison of semi-supervised and self-supervised learning for medical image classification
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
ConceptVAE learns to discretize echocardiograms into fine-grained anatomical concepts and per-concept styles without labels, and reports gains over a VICReg baseline on retrieval, segmentation, and OOD detection.