Cover Image

Unpaired MRI Super Resolution with Contrastive Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Hao, Liu, Quanwei, Liu, Jianan, Liu, Xiling, Dong, Yanni, Huang, Tao, Lv, Zhihan
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient MRI Parallel Imaging Reconstruction by K-Space Rendering via Generalized Implicit Neural Representation
by: Li, Hao, et al.
Published: (2023)

An Optimal Transport Perspective on Unpaired Image Super-Resolution
by: Gazdieva, Milena, et al.
Published: (2022)

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
by: Liu, Jianan, et al.
Published: (2022)

LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution
by: Tang, Yinggan, et al.
Published: (2025)

Large Kernel Modulation Network for Efficient Image Super-Resolution
by: Hu, Quanwei, et al.
Published: (2025)

Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN
by: Zhang, Weiwen, et al.
Published: (2023)

Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusion
by: Wu, Mengqi, et al.
Published: (2024)

Mix-Domain Contrastive Learning for Unpaired H&E-to-IHC Stain Translation
by: Wang, Song, et al.
Published: (2024)

Infrared Image Super-Resolution: Systematic Review, and Future Trends
by: Huang, Yongsong, et al.
Published: (2022)

Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
by: Huang, Yongsong, et al.
Published: (2023)

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution
by: Chen, Wenting, et al.
Published: (2024)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Images
by: Pascale, Michele, et al.
Published: (2023)

Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis
by: Zhang, Zhenxuan, et al.
Published: (2025)

SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention
by: Zheng, Shaoming, et al.
Published: (2024)

Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling
by: Sun, Wanjie, et al.
Published: (2023)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
by: Do, Huu-Phu, et al.
Published: (2025)

Perceptual Quality Optimization of Image Super-Resolution
by: Zhou, Wei, et al.
Published: (2026)

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging
by: Zhou, Xuanru, et al.
Published: (2025)

Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution Network
by: Liu, Chongxiao
Published: (2024)

Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
by: Ma, Yiyang, et al.
Published: (2023)

AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
by: Xu, Yuheng, et al.
Published: (2025)

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2022)

A Survey of Deep Learning Video Super-Resolution
by: Baniya, Arbind Agrahari, et al.
Published: (2025)

Iterative Network for Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2020)

NAIMA: Semantics Aware RGB Guided Depth Super-Resolution
by: Nasir, Tayyab, et al.
Published: (2026)

Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
by: Yuan, Jiang, et al.
Published: (2024)

Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
by: Liu, Yuqing, et al.
Published: (2022)

A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
by: Liu, Jianjun, et al.
Published: (2023)

Exploiting Self-Supervised Constraints in Image Super-Resolution
by: Wu, Gang, et al.
Published: (2024)

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
by: Lu, Shao-Hao, et al.
Published: (2025)

Learning the Degradation Distribution for Blind Image Super-Resolution
by: Luo, Zhengxiong, et al.
Published: (2022)

ContourDiff: Unpaired Medical Image Translation with Structural Consistency
by: Chen, Yuwen, et al.
Published: (2024)

Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies
by: Li, Hongwei Bran, et al.
Published: (2023)

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
by: Zhou, Yusheng, et al.
Published: (2023)

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model
by: Huang, Yongsong, et al.
Published: (2024)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
by: Wei, Renjie, et al.
Published: (2023)

Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images
by: Dubey, Vishal
Published: (2024)

TV-based Deep 3D Self Super-Resolution for fMRI
by: Pérez-Bueno, Fernando, et al.
Published: (2024)

Multi-scale Attention Network for Single Image Super-Resolution
by: Wang, Yan, et al.
Published: (2022)