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ResearchFormerly WizWand

CVD prediction on Clinical Multimodal Dataset Core (test)

0.915AUROCMedM2T
0.869240.881120.8930.90488Oct 31, 2025
Updated 7mo ago

Evaluation results

MethodLinks
MedM2TAblation Configuration=Full Model2025.100.9150.632
MedM2TAblation Configuration=w/o Shared Encoder2025.100.9090.628
MedM2TAblation Configuration=w/o Bi-Modal Attention2025.100.9020.624
MedM2TAblation Configuration=w/o Pre-trained Encoder2025.100.9010.604
HAIM2025.100.8990.633
MultiBenchFusion Strategy=LRTF, Encoder Type=Original2025.100.8970.621
MultiBenchFusion Strategy=LRTF, Encoder Type=Our Encoder2025.100.8960.613
MultiBenchFusion Strategy=LF, Encoder Type=Original2025.100.8950.617
MultiModNEncoder Type=Our Encoder2025.100.8940.6
MultiBenchFusion Strategy=LF, Encoder Type=Our Encoder2025.100.890.583
MultiModNEncoder Type=Original2025.100.8710.573