MuteBench evaluates multimodal fusion robustness to modality missing and within-modality missing on 125000 samples from 9 clinical datasets, finding architecture family predicts tolerance better than parameter count.
Mimic-cxr-jpg: Chest radiographs with structured labels.PhysioNet
3 Pith papers cite this work. Polarity classification is still indexing.
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MIMIC-CXR-JPG provides 377,110 labeled chest X-rays derived from MIMIC-CXR with NLP-generated labels and standard splits for medical imaging AI development.
MedGemma 1.5 4B reports absolute gains of 11% on 3D MRI classification, 3% on 3D CT, 47% macro F1 on pathology slides, 35% IoU on anatomical localization, and 5-22% on clinical QA tasks over MedGemma 1.
citing papers explorer
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MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion
MuteBench evaluates multimodal fusion robustness to modality missing and within-modality missing on 125000 samples from 9 clinical datasets, finding architecture family predicts tolerance better than parameter count.
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MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
MIMIC-CXR-JPG provides 377,110 labeled chest X-rays derived from MIMIC-CXR with NLP-generated labels and standard splits for medical imaging AI development.
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MedGemma 1.5 Technical Report
MedGemma 1.5 4B reports absolute gains of 11% on 3D MRI classification, 3% on 3D CT, 47% macro F1 on pathology slides, 35% IoU on anatomical localization, and 5-22% on clinical QA tasks over MedGemma 1.