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Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution
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Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network
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Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
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A non-local approach for image super-resolution using intermodality priors☆
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The Alzheimer's Disease Neuroimaging Initiative
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Super-resolution through neighbor embedding
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Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis
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Fast Convolutional Sparse Coding
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Transfer Sparse Coding for Robust Image Representation
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Recognizing RGB Images by Learning from RGB-D Data
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Fast and flexible convolutional sparse coding
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Image Style Transfer Using Convolutional Neural Networks
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Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
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Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition
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Convolutional Sparse Coding for Image Super-Resolution
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Unsupervised Cross-Modal Synthesis of Subject-Specific Scans
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Order Statistic Filters for Image Interpolation
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Color object recognition via cross-domain learning on RGB-D images
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Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation
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An edge-guided image interpolation algorithm via directional filtering and data fusion
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Image Super-Resolution Via Sparse Representation
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Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution
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Magnetic Resonance Image Example-Based Contrast Synthesis
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Face Photo-Sketch Synthesis and Recognition
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Hetero-Manifold Regularisation for Cross-Modal Hashing
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Image quilting for texture synthesis and transfer
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Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets
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Multi-Frame RGB/NIR Imaging for Low-Light Color Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tcsvt.2018.2866399openalex-snapshot
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis
inferred← citeshttps://doi.org/10.1109/tcsvt.2021.3130147openalex-snapshot
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3367876openalex-snapshot
Frequency Generation for Real-World Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tetci.2026.3684503openalex-snapshot
Multi-Contrast Multi-Slice Triple-Pathway Fusion Framework for Missing MRI Synthesis
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3180068openalex-snapshot
Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3275146openalex-snapshot
Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3289151openalex-snapshot
Facies-Guided Seismic Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tgrs.2025.3529696openalex-snapshot
Binary Lightweight Neural Networks for Arbitrary Scale Super-Resolution of Remote Sensing Images
inferred← citeshttps://doi.org/10.1109/tip.2019.2945835openalex-snapshot
Face Hallucination Using Cascaded Super-Resolution and Identity Priors
inferred← citeshttps://doi.org/10.1109/tip.2020.3011557openalex-snapshot
MCMT-GAN: Multi-Task Coherent Modality Transferable GAN for 3D Brain Image Synthesis
inferred← citeshttps://doi.org/10.1109/tip.2021.3066906openalex-snapshot
Embarrassingly Simple Binarization for Deep Single Imagery Super-Resolution Networks
inferred← citeshttps://doi.org/10.1109/tip.2022.3141251openalex-snapshot
Multi-Modal Convolutional Dictionary Learning
inferred← citeshttps://doi.org/10.1109/tip.2023.3328565openalex-snapshot
FABNet: Frequency-Aware Binarized Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tmi.2017.2781192openalex-snapshot
Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning
inferred← citeshttps://doi.org/10.1109/tmi.2018.2876633openalex-snapshot
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
inferred← citeshttps://doi.org/10.1109/tmi.2019.2895894openalex-snapshot
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis
inferred← citeshttps://doi.org/10.1109/tmi.2019.2901750openalex-snapshot
Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tmi.2019.2911203openalex-snapshot
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tmi.2020.2969630openalex-snapshot
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis
inferred← citeshttps://doi.org/10.1109/tmi.2020.2975344openalex-snapshot
Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis
inferred← citeshttps://doi.org/10.1109/tmi.2021.3056395openalex-snapshot
Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling
inferred← citeshttps://doi.org/10.1109/tmi.2022.3167808openalex-snapshot
ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
inferred← citeshttps://doi.org/10.1109/tmi.2023.3290149openalex-snapshot
Unsupervised Medical Image Translation With Adversarial Diffusion Models
inferred← citeshttps://doi.org/10.1109/tmi.2026.3692748openalex-snapshot
Refine Then Fusion: Robust 3D Brain MRI Synthesis via Vision–Language Collaboration
inferred← citeshttps://doi.org/10.1109/tmm.2020.2999182openalex-snapshot
Coarse-to-Fine CNN for Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tmm.2024.3374576openalex-snapshot
CTE-Net: Contextual Texture Enhancement Network for Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tmm.2025.3632663openalex-snapshot
Generic-to-Personalised Learning for Multimodal Image Synthesis With Bidirectional Variational GAN
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3201528openalex-snapshot
Toward Pixel-Level Precision for Binary Super-Resolution With Mixed Binary Representation
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3438432openalex-snapshot
Rectified Binary Network for Single-Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3493155openalex-snapshot
I²NQ: Inter and Intra Nonuniform Quantization for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3516472openalex-snapshot
On Traffic Matrix Estimation via Super-Resolution and Federated Learning
inferred← citeshttps://doi.org/10.1109/tpami.2020.2982166openalex-snapshot
Deep Learning for Image Super-Resolution: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2024.3378704openalex-snapshot
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization
inferred← citeshttps://doi.org/10.1109/wacv.2018.00066openalex-snapshot
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI
inferred← citeshttps://doi.org/10.1109/wacv45572.2020.9093317openalex-snapshot
Going Much Wider with Deep Networks for Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00223openalex-snapshot
Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
inferred← citeshttps://doi.org/10.1117/12.2285336openalex-snapshot
Fast super-resolution with iterative-guided back projection for 3D MR images
inferred← citeshttps://doi.org/10.1117/12.2580678openalex-snapshot
Improving low-resolution gas-mixture absorption spectra using neural networks
inferred← citeshttps://doi.org/10.1142/s0218126622502838openalex-snapshot
Image Super-Resolution Method Based on Dual Learning
inferred← citeshttps://doi.org/10.1145/3383972.3384024openalex-snapshot
Multimodal Brain MRI Translation Focused on Lesions
inferred← citeshttps://doi.org/10.1145/3625227openalex-snapshot
Cross-modality Neuroimage Synthesis: A Survey
inferred← citeshttps://doi.org/10.1145/3641584.3641675openalex-snapshot
Image Super-Resolution Based on Variational Autoencoder and Channel Attention
inferred← citeshttps://doi.org/10.1145/3641584.3641677openalex-snapshot
A super-resolution algorithm for tire images based on second-order channel attention
inferred← citeshttps://doi.org/10.1145/3657298openalex-snapshot
DBGAN: Dual Branch Generative Adversarial Network for Multi-Modal MRI Translation
inferred← citeshttps://doi.org/10.1145/3664647.3680874openalex-snapshot
SSL: A Self-similarity Loss for Improving Generative Image Super-resolution
inferred← citeshttps://doi.org/10.1145/3805622.3810728openalex-snapshot
MetaDB: Metadata-Guided Diffusion Bridge Model for High-Fidelity Medical Image Synthesis
inferred← citeshttps://doi.org/10.1155/2021/6678031openalex-snapshot
Fproi-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images
inferred← citeshttps://doi.org/10.1155/2022/2206454openalex-snapshot
Sparse Dictionary-Based Magnetic Resonance Superresolution Imaging with Joint Loss Function Learning
inferred← citeshttps://doi.org/10.1155/2022/8628402openalex-snapshot
Lightweight Image Super-Resolution Based on Re-Parameterization and Self-Calibrated Convolution
inferred← citeshttps://doi.org/10.1162/imag.a.997openalex-snapshot
Machine learning-based reconstruction of 2D MRI for quantitative morphometry in epilepsy
inferred← citeshttps://doi.org/10.1186/s12880-024-01201-yopenalex-snapshot
MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2573189/v1openalex-snapshot
Multi-Scale Cross-Fusion for Arbitrary Scale Image Super Resolution
inferred← citeshttps://doi.org/10.21203/rs.3.rs-720998/v1openalex-snapshot
Brain MRI Technics Images Translation by Generative Adversarial Network
inferred← citeshttps://doi.org/10.22044/jadm.2020.9131.2052openalex-snapshot
A Deep Model for Super-resolution Enhancement from a Single Image
inferred← citeshttps://doi.org/10.24963/ijcai.2020/90openalex-snapshot
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
inferred← citeshttps://doi.org/10.31891/2219-9365-2023-73-1-20openalex-snapshot
МЕТОД ЗБIЛЬШЕННЯ ОКРЕМОГО ЗОБРАЖЕННЯ НА ОСНОВІ БАГАТОВИХОДОВОЇ РЕГРЕСІЇ ТА МОМЕНТНОЇ МЕТРИКИ
inferred← citeshttps://doi.org/10.32010/26166127.2021.4.1.15.28openalex-snapshot
OBJECT RECOGNITION FOR AUGMENTED REALITY APPLICATIONS
inferred← citeshttps://doi.org/10.3233/faia200416openalex-snapshot
Mid-Weight Image Super-Resolution with Bypass Connection Attention Network
inferred← citeshttps://doi.org/10.3390/ai4030032openalex-snapshot
Evaluating Deep Learning Techniques for Blind Image Super-Resolution within a High-Scale Multi-Domain Perspective
inferred← citeshttps://doi.org/10.3390/app12062935openalex-snapshot
Gradient-Guided and Multi-Scale Feature Network for Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/app14093678openalex-snapshot
Residual Dense Swin Transformer for Continuous-Scale Super-Resolution Algorithm
inferred← citeshttps://doi.org/10.3390/bioengineering10060716openalex-snapshot
Exploring the Possibility of Measuring Vertebrae Bone Structure Metrics Using MDCT Images: An Unpaired Image-to-Image Translation Method
inferred← citeshttps://doi.org/10.3390/bioengineering9070315openalex-snapshot
Quantification of Intra-Muscular Adipose Infiltration in Calf/Thigh MRI Using Fully and Weakly Supervised Semantic Segmentation
inferred← citeshttps://doi.org/10.3390/biomimetics11030175openalex-snapshot
GAN-Based Cross-Modality Brain MRI Synthesis: Paired Versus Unpaired Training and Comparison with Diffusion and Transformer Models
inferred← citeshttps://doi.org/10.3390/diagnostics16020317openalex-snapshot
AI-Based Brain Volumetry Without MPRAGE? Evaluation of Synthetic T1-MPRAGE from 2D T2/FLAIR
inferred← citeshttps://doi.org/10.3390/electronics10111234openalex-snapshot
A Lightweight Dense Connected Approach with Attention on Single Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/electronics10192434openalex-snapshot
An Effective Multi-Task Two-Stage Network with the Cross-Scale Training Strategy for Multi-Scale Image Super Resolution
inferred← citeshttps://doi.org/10.3390/electronics12051209openalex-snapshot
Super-Resolution of Compressed Images Using Residual Information Distillation Network
inferred← citeshttps://doi.org/10.3390/electronics12132975openalex-snapshot
Single-Image Super-Resolution Challenges: A Brief Review
inferred← citeshttps://doi.org/10.3390/electronics14183726openalex-snapshot
Transform Domain Based GAN with Deep Multi-Scale Features Fusion for Medical Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/math14193501openalex-snapshot
From the Radon Transform to Deep Learning in Medical Image Reconstruction
inferred← citeshttps://doi.org/10.3390/rs15143676openalex-snapshot
Multi-Scale Feature Residual Feedback Network for Super-Resolution Reconstruction of the Vertical Structure of the Radar Echo
inferred← citeshttps://doi.org/10.3390/s22114119openalex-snapshot
Dual Projection Fusion for Reference-Based Image Super-Resolution
inferred← citeshttps://doi.org/10.3934/mbe.2023199openalex-snapshot
Multi-modal brain MRI images enhancement based on framelet and local weights super-resolution
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