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20192026
most citedA theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise

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eess.IV2026

Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning

Brenden Kadota, Charles Millard, Mark Chiew

Objective: Deep Learning has shown promise in accelerating MRI by reconstructing high-quality images from under-sampled data. While recent work has leveraged multi-contrast informa…