mlsanityData to 7 Oct 2026

Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks

arXiv 1801.02728 ↗First posted 8 Jan 2018cs.CV eess.IVcited by 46

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Abstract (arXiv)

Magnetic resonance image (MRI) in high spatial resolution provides detailed anatomical information and is often necessary for accurate quantitative analysis. However, high spatial resolution typically comes at the expense of longer scan time, less spatial coverage, and lower signal to noise ratio (SNR). Single Image Super-Resolution (SISR), a technique aimed to restore high-resolution (HR) details from one single low-resolution (LR) input image, has been improved dramatically by recent breakthroughs in deep learning. In this paper, we introduce a new neural network architecture, 3D Densely Connected Super-Resolution Networks (DCSRN) to restore HR features of structural brain MR images. Through experiments on a dataset with 1,113 subjects, we demonstrate that our network outperforms bicubic interpolation as well as other deep learning methods in restoring 4x resolution-reduced images.

Key facts. Cited by 46 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jan 2018.

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Citing papers per year: 2021: 11; 2022: 10; 2023: 12; 2024: 4; 2025: 3; 2026: 6.

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  1. 2021An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representationcited by 47
  2. 2021Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Networkcited by 42
  3. 2021Multi-Modal Transformer for Accelerated MR Imagingcited by 42
  4. 2023Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representationscited by 32
  5. 2022Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolutioncited by 30
  6. 2023DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolutioncited by 28
  7. 2023InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Modelcited by 28
  8. 2022Cross-Modality High-Frequency Transformer for MR Image Super-Resolutioncited by 20
  9. 2021SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networkscited by 18
  10. 2021Exploring Separable Attention for Multi-Contrast MR Image Super-Resolutioncited by 13
  11. 20223D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesiscited by 13
  12. 2023TransMRSR: Transformer-based Self-Distilled Generative Prior for Brain MRI Super-Resolutioncited by 9
34 more
  1. 2021Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Imagescited by 8
  2. 2024SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolutioncited by 8
  3. 2021Brain Graph Super-Resolution Using Adversarial Graph Neural Network with Application to Functional Brain Connectivitycited by 7
  4. 2025MRI Super-Resolution with Deep Learning: A Comprehensive Surveycited by 7
  5. 2022Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRIcited by 6
  6. 2023Self-supervised arbitrary scale super-resolution framework for anisotropic MRIcited by 6
  7. 2023Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Imagescited by 6
  8. 2023DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaningcited by 5
  9. 2024Region Attention Transformer for Medical Image Restorationcited by 5
  10. 2021Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reductioncited by 4
  11. 2022Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptationcited by 2
  12. 2022Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstructioncited by 2
  13. 2022Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mappingcited by 2
  14. 2023An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removalcited by 2
  15. 20243D Volumetric Super-Resolution in Radiology Using 3D RRDB-GANcited by 2
  16. 2021SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imagingcited by 1
  17. 2021Capsule GAN for Prostate MRI Super-Resolutioncited by 1
  18. 2021Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learningcited by 1
  19. 2022Improved Super Resolution of MR Images Using CNNs and Vision Transformerscited by 1
  20. 2022Magnitude-image based data-consistent deep learning method for MRI super resolutioncited by 1
  21. 2023A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningcited by 1
  22. 2023A Three-Player GAN for Super-Resolution in Magnetic Resonance Imagingcited by 1
  23. 2024Enhance the Image: Super Resolution using Artificial Intelligence in MRIcited by 1
  24. 2022Single MR Image Super-Resolution using Generative Adversarial Networkcited by 0
  25. 2023CLADE: Cycle Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic Medical Imagescited by 0
  26. 2023Unpaired MRI Super Resolution with Contrastive Learningcited by 0
  27. 2025Nexus-INR: Diverse Knowledge-guided Arbitrary-Scale Multimodal Medical Image Super-Resolutioncited by 0
  28. 2025Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Losscited by 0
  29. 2026Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion Modelscited by 0
  30. 2026VoDaSuRe: A Large-Scale Dataset Revealing Domain Shift in Volumetric Super-Resolutioncited by 0
  31. 2026Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolutioncited by 0
  32. 2026Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CTcited by 0
  33. 2026PhyMRI-SR: Toward Physics-Aware MRI Image Super-Resolutioncited by 0
  34. 2026Cardiac MRI Through-Plane Super-Resolution Guided by Reference and Memorycited by 0