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Adversarial Inpainting of Medical Image Modalities

arXiv 1810.06621 ↗First posted 15 Oct 2018cs.CVcited by 16

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Abstract (arXiv)

Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans. This will affect further post-processing tasks such as attenuation correction in PET/MRI or radiation therapy planning. In this work, we propose the inpainting of medical images via Generative Adversarial Networks (GANs). The proposed framework incorporates two patch-based discriminator networks with additional style and perceptual losses for the inpainting of missing information in realistically detailed and contextually consistent manner. The proposed framework outperformed other natural image inpainting techniques both qualitatively and quantitatively on two different medical modalities.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Oct 2018.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 1; 2024: 4; 2025: 7.

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  1. 2022Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Reportcited by 18
  2. 2024Sketch-guided Image Inpainting with Partial Discrete Diffusion Processcited by 7
  3. 2021Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planningcited by 6
  4. 2024An Ensemble Approach for Brain Tumor Segmentation and Synthesiscited by 5
  5. 2025Good Things Come in Pairs: Paired Autoencoders for Inverse Problemscited by 5
  6. 2024HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesiscited by 2
  7. 2022Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Imagescited by 1
  8. 2022Shape-Aware Masking for Inpainting in Medical Imagingcited by 1
  9. 2024Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Settingcited by 1
  10. 2023DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the Spectrumcited by 0
  11. 2025An inpainting approach to manipulate asymmetry in pre-operative breast imagescited by 0
  12. 2025Using Synthetic Images to Augment Small Medical Image Datasetscited by 0
4 more
  1. 2025Investigating the Role of Bilateral Symmetry for Inpainting Brain MRIcited by 0
  2. 2025Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methodscited by 0
  3. 2025Improving Diagnostic Accuracy for Oral Cancer with inpainting Synthesis Lesions Generated Using Diffusion Modelscited by 0
  4. 2025Generative deep learning for foundational video translation in ultrasoundcited by 0