A Unified Model for Compressed Sensing MRI Across Undersampling Patterns (CVPR 25)

Автор: Peter Wang

Загружено: 2025-05-24

Просмотров: 46

Описание: We propose a unified model robust to different measurement undersampling patterns and image resolutions in compressed sensing MRI. Empirically, we achieve consistent performance across different undersampling rates and patterns, with an average 11 percent SSIM and 4dB PSNR improvement over a state-of-the-art CNN, End-to-End VarNet. Project website: https://armeet.ca/nomri

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A Unified Model for Compressed Sensing MRI Across Undersampling Patterns (CVPR 25)

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