{"ID":2881189,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.13026","arxiv_id":"2508.13026","title":"HierAdaptMR: Cross-Center Cardiac MRI Reconstruction with Hierarchical Feature Adapters","abstract":"Deep learning-based cardiac MRI reconstruction faces significant domain shift challenges when deployed across multiple clinical centers with heterogeneous scanner configurations and imaging protocols. We propose HierAdaptMR, a hierarchical feature adaptation framework that addresses multi-level domain variations through parameter-efficient adapters. Our method employs Protocol-Level Adapters for sequence-specific characteristics and Center-Level Adapters for scanner-dependent variations, built upon a variational unrolling backbone. A Universal Adapter enables generalization to entirely unseen centers through stochastic training that learns center-invariant adaptations. The framework utilizes multi-scale SSIM loss with frequency domain enhancement and contrast-adaptive weighting for robust optimization. Comprehensive evaluation on the CMRxRecon2025 dataset spanning 5+ centers, 10+ scanners, and 9 modalities demonstrates superior cross-center generalization while maintaining reconstruction quality. code: https://github.com/Ruru-Xu/HierAdaptMR","short_abstract":"Deep learning-based cardiac MRI reconstruction faces significant domain shift challenges when deployed across multiple clinical centers with heterogeneous scanner configurations and imaging protocols. We propose HierAdaptMR, a hierarchical feature adaptation framework that addresses multi-level domain variations throug...","url_abs":"https://arxiv.org/abs/2508.13026","url_pdf":"https://arxiv.org/pdf/2508.13026v1","authors":"[\"Ruru Xu\",\"Ilkay Oksuz\"]","published":"2025-08-18T15:43:19Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":610784,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2881189,"paper_url":"https://arxiv.org/abs/2508.13026","paper_title":"HierAdaptMR: Cross-Center Cardiac MRI Reconstruction with Hierarchical Feature Adapters","repo_url":"https://github.com/Ruru-Xu/HierAdaptMR","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}