Proposes a multimodal model with cross-attention and missingness-aware dictionary learning for robust DICOM series classification that outperforms image-only, metadata-only, and other multimodal baselines on liver MRI datasets.
Radiology: Artificial Intelligence5(5), e220275 (Sep 2023)
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Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
Proposes a multimodal model with cross-attention and missingness-aware dictionary learning for robust DICOM series classification that outperforms image-only, metadata-only, and other multimodal baselines on liver MRI datasets.