ConQuer augments global CLIP alignment with independent per-concept contrastive losses on anatomical regions extracted from reports, producing Jolia which outperforms CLIP baselines on classification, report generation, and transfer.
RadSAM: Segmenting 3D radiological images with a 2D promptable model.arXiv preprint arXiv:2504.20837, 2025
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Jolia: Concept-Level Vision-Language Alignment for 3D CT Contrastive Learning
ConQuer augments global CLIP alignment with independent per-concept contrastive losses on anatomical regions extracted from reports, producing Jolia which outperforms CLIP baselines on classification, report generation, and transfer.