NexOP jointly optimizes NEX-aware k-space sampling probabilities and multi-measurement reconstruction to raise effective SNR in low-field MRI under a fixed total sampling budget.
Available: https://arxiv.org/abs/2509.11790
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SNRAware-trained DL denoising consistently raises effective SNR in ULF MRI, enabling nominal resolutions comparable to clinical 3 T protocols across varied acquisition parameters.
citing papers explorer
-
NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI
NexOP jointly optimizes NEX-aware k-space sampling probabilities and multi-measurement reconstruction to raise effective SNR in low-field MRI under a fixed total sampling budget.
-
High-resolution ultra-low-field MRI with SNRAware denoising
SNRAware-trained DL denoising consistently raises effective SNR in ULF MRI, enabling nominal resolutions comparable to clinical 3 T protocols across varied acquisition parameters.