VISTA is a source-free TTA framework for multi-sequence MRI segmentation that uses inter-sequence spectral/patch interventions and cross-view variance gating to handle modality-interaction shifts, reporting Dice gains of 1.89% and 2.82% on SSA and PED cohorts.
SmaRT: Style-Modulated Robust Test-Time Adaptation for Cross-Domain Brain Tumor Segmentation in MRI
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FreeHemoSeg detects fetal GMH-IVH on T2-weighted MRI with high sensitivity and specificity and moderate segmentation accuracy using pseudo-image synthesis from normal scans, outperforming supervised and unsupervised baselines in internal and external validation.
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VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation
VISTA is a source-free TTA framework for multi-sequence MRI segmentation that uses inter-sequence spectral/patch interventions and cross-view variance gating to handle modality-interaction shifts, reporting Dice gains of 1.89% and 2.82% on SSA and PED cohorts.
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Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI
FreeHemoSeg detects fetal GMH-IVH on T2-weighted MRI with high sensitivity and specificity and moderate segmentation accuracy using pseudo-image synthesis from normal scans, outperforming supervised and unsupervised baselines in internal and external validation.