Deep Adversarial Learning for Multi-Modality Missing Data Completion

This publication has 18 references indexed in Scilit:

• Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI
  IEEE Transactions on Biomedical Engineering, 2016
• Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation
  IEEE Transactions on Image Processing, 2016
• Fully convolutional networks for semantic segmentation
  2015
• Image Super-Resolution Using Deep Convolutional Networks
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
• Bi-level multi-source learning for heterogeneous block-wise missing data
  NeuroImage, 2014
• Multi-source learning with block-wise missing data for Alzheimer's disease prediction
  2013
• The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
  Alzheimer's & Dementia, 2013
• 3D Convolutional Neural Networks for Human Action Recognition
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
• Image quality assessment: from error visibility to structural similarity
  IEEE Transactions on Image Processing, 2004
• Gradient-based learning applied to document recognition
  Proceedings of the IEEE, 1998