CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation

This publication has 21 references indexed in Scilit:

• Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
  Medical Image Analysis, 2019
• Disentangled representation learning in cardiac image analysis
  Medical Image Analysis, 2019
• PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation
  IEEE Access, 2019
• Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network
  Medical Image Analysis, 2019
• SUSAN: segment unannotated image structure using adversarial network
  Magnetic Resonance in Medicine, 2018
• SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
  IEEE Transactions on Medical Imaging, 2018
• Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
  IEEE Transactions on Medical Imaging, 2018
• A survey on deep learning in medical image analysis
  Medical Image Analysis, 2017
• Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease
  IEEE Journal of Biomedical and Health Informatics, 2017
• Automated left ventricle segmentation in late gadolinium-enhanced MRI for objective myocardial scar assessment
  Journal of Magnetic Resonance Imaging, 2014