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Unsupervised Medical Image Translation Using Cycle-MedGAN

arXiv 1903.03374 ↗First posted 8 Mar 2019cs.CVcited by 44

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Abstract (arXiv)

Image-to-image translation is a new field in computer vision with multiple potential applications in the medical domain. However, for supervised image translation frameworks, co-registered datasets, paired in a pixel-wise sense, are required. This is often difficult to acquire in realistic medical scenarios. On the other hand, unsupervised translation frameworks often result in blurred translated images with unrealistic details. In this work, we propose a new unsupervised translation framework which is titled Cycle-MedGAN. The proposed framework utilizes new non-adversarial cycle losses which direct the framework to minimize the textural and perceptual discrepancies in the translated images. Qualitative and quantitative comparisons against other unsupervised translation approaches demonstrate the performance of the proposed framework for PET-CT translation and MR motion correction.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Mar 2019.

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Citing papers per year: 2021: 10; 2022: 11; 2023: 9; 2024: 9; 2025: 5.

44 papers.

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  1. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  2. 2021Anomaly Detection in Medical Imaging -- A Mini Reviewcited by 44
  3. 2023Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentationcited by 33
  4. 2021Conditional Frechet Inception Distancecited by 16
  5. 2021Uncertainty-Guided Progressive GANs for Medical Image Translationcited by 16
  6. 2021CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translationcited by 15
  7. 2023MRI Reconstruction with Side Information using Diffusion Modelscited by 15
  8. 2022Assessing the ability of generative adversarial networks to learn canonical medical image statisticscited by 11
  9. 2021Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Studycited by 9
  10. 2023Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detectioncited by 7
  11. 2021Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learningcited by 6
  12. 2021Bridging the gap between paired and unpaired medical image translationcited by 6
32 more
  1. 2022Anatomically constrained CT image translation for heterogeneous blood vessel segmentationcited by 6
  2. 2021Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Imagescited by 4
  3. 2022Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problemscited by 3
  4. 2022ChrSNet: Chromosome Straightening using Self-attention Guided Networkscited by 3
  5. 2025DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI imagescited by 3
  6. 2021ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Networkcited by 2
  7. 2022Synthetic PET via Domain Translation of 3D MRIcited by 2
  8. 2022Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networkscited by 2
  9. 2024ContourDiff: Unpaired Medical Image Translation with Structural Consistencycited by 2
  10. 2024Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography Imagescited by 2
  11. 2024Cyclic 2.5D Perceptual Loss for Cross-Modal 3D Medical Image Synthesis: T1w MRI to Tau PETcited by 2
  12. 2024CAS-GAN for Contrast-free Angiography Synthesiscited by 2
  13. 2022Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translationcited by 1
  14. 2023Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networkscited by 1
  15. 2023PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphycited by 1
  16. 2024Cross-Modality Translation with Generative Adversarial Networks to Unveil Alzheimer's Disease Biomarkerscited by 1
  17. 2024Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiogramscited by 1
  18. 2024Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attentioncited by 1
  19. 2025Schr"odinger Diffusion Driven Signal Recovery in 3T BOLD fMRI Using Unmatched 7T Observationscited by 1
  20. 2025GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection modelscited by 1
  21. 2022Deep Learning-Assisted Co-registration of Full-Spectral Autofluorescence Lifetime Microscopic Images with H&E-Stained Histology Imagescited by 0
  22. 2022MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scancited by 0
  23. 2022Structure Unbiased Adversarial Model for Medical Image Segmentationcited by 0
  24. 2022Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Modelscited by 0
  25. 2023Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Reviewcited by 0
  26. 2023XVertNet: Unsupervised Contrast Enhancement of Vertebral Structures with Dynamic Self-Tuning Guidance and Multi-Stage Analysiscited by 0
  27. 2023Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classificationcited by 0
  28. 2023A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Imagescited by 0
  29. 2024Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIscited by 0
  30. 2024DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Imagescited by 0
  31. 2025Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidancecited by 0
  32. 2025Diffusion-based translation between unpaired spontaneous premature neonatal EEG and fetal MEGcited by 0