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Residual Implicit Diffusion Model for arbitrary-scale MRI super-resolution

delete2026-01-21
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PRE
AI
J
Juhao Gao
Y
Yulin Shen
T
Tong Tong
X
Xingsi Xue
B
Biao Jia
J
Jia Pan
W
Wenxi Liu *
DOI:10.1016/j.bspc.2026.109668delete
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Abstract

Abstract

En 中文
• Implicit neural representation with diffusion enables continuous MRI super-resolution. • Diffusion modeling benefits from residual-space design when handling skewed MRI data. • Fused in-distribution diffusion cues support robust out-of-distribution sampling. • Enables flexible high-resolution zooming for clinical lesion analysis.

Journal

Biomedical Signal Processing and Control cover
Biomedical Signal Processing and Control
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4.9
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Fujian University of Technology
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university of hong kong
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ecomo inc.
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fuzhou university
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