CardioSAM introduces a topology-aware decoder and boundary refinement module to elevate SAM's performance on cardiac MRI, achieving a 93.39% Dice score.
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Fine-tuned foundation models produce reliable MSK MRI biomarkers that support workload-reducing triage and calibrated 48-month prediction of knee replacement and incident OA.
The paper surveys data-centric strategies for foundation models in computational healthcare and supplies a curated list of related models and datasets.
citing papers explorer
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CardioSAM: Topology-Aware Decoder Design for High-Precision Cardiac MRI Segmentation
CardioSAM introduces a topology-aware decoder and boundary refinement module to elevate SAM's performance on cardiac MRI, achieving a 93.39% Dice score.
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Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
Fine-tuned foundation models produce reliable MSK MRI biomarkers that support workload-reducing triage and calibrated 48-month prediction of knee replacement and incident OA.
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Data-Centric Foundation Models in Computational Healthcare: A Survey
The paper surveys data-centric strategies for foundation models in computational healthcare and supplies a curated list of related models and datasets.