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20212026
most citedA Systematic Survey of Deep Learning-based Single-Image Super-Resolution

28 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Frequency Error-Guided Under-sampling Optimization for Multi-Contrast MRI Reconstruction

Xinming Fang, Chaoyan Huang, Juncheng Li +3

Magnetic resonance imaging (MRI) plays a vital role in clinical diagnostics, yet it remains hindered by long acquisition times and motion artifacts. Multi-contrast MRI reconstructi…

cs.CV2025

Mamba-Based Modality Disentanglement Network for Multi-Contrast MRI Reconstruction

Weiyi Lyu, Xinming Fang, Jun Wang +3

Magnetic resonance imaging (MRI) is a cornerstone of modern clinical diagnosis, offering unparalleled soft-tissue contrast without ionizing radiation. However, prolonged scan times…

cs.CV2025

Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba

Liwen Pan, Longguang Wang, Guangwei Gao +3

Traffic image restoration under adverse weather conditions remains a critical challenge for intelligent transportation systems. Existing methods primarily focus on spatial-domain m…

eess.IV2024

Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images

Tianxiang Huang, Jing Shi, Ge Jin +4

The B-mode ultrasound based computer-aided diagnosis (CAD) has demonstrated its effectiveness for diagnosis of Developmental Dysplasia of the Hip (DDH) in infants. However, due to…

eess.IV2021★ 28 cited

A Systematic Survey of Deep Learning-based Single-Image Super-Resolution

Juncheng Li, Zehua Pei, Wenjie Li +4

Single-image super-resolution (SISR) is an important task in image processing, which aims to enhance the resolution of imaging systems. Recently, SISR has made a huge leap and has…