Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder network

This publication has 35 references indexed in Scilit:

• A survey of deep learning approaches to image restoration
  Neurocomputing, 2022
• Iterative facial image inpainting based on an encoder-generator architecture
  Neural Computing and Applications, 2022
• Reference-guided face inpainting with reference attention network
  Neural Computing and Applications, 2022
• Exemplar-based image inpainting using adaptive two-stage structure-tensor based priority function and nonlocal filtering
  Journal of Visual Communication and Image Representation, 2022
• Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology
  2021
• Generative image inpainting via edge structure and color aware fusion
  Signal Processing: Image Communication, 2020
• Image Inpainting for Irregular Holes Using Partial Convolutions
  2018
• Accelerating the Super-Resolution Convolutional Neural Network
  2016
• Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  2016
• U-Net: Convolutional Networks for Biomedical Image Segmentation
  2015