Search-MIND delivers a training-free coarse-to-fine optimization pipeline for multi-modal medical image registration using variance-weighted mutual information and broadened structural descriptors that outperforms ANTs and DINO-reg on liver and abdominal datasets.
Medical Image Analysis102, 103507 (2025)
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A fine-tuned 3D foundation segmentation model combined with cross pseudo supervision achieves robust liver segmentation across labeled and unlabeled multi-phase, multi-vendor MRI without spatial registration.
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Search-MIND: Training-Free Multi-Modal Medical Image Registration
Search-MIND delivers a training-free coarse-to-fine optimization pipeline for multi-modal medical image registration using variance-weighted mutual information and broadened structural descriptors that outperforms ANTs and DINO-reg on liver and abdominal datasets.
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Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI
A fine-tuned 3D foundation segmentation model combined with cross pseudo supervision achieves robust liver segmentation across labeled and unlabeled multi-phase, multi-vendor MRI without spatial registration.