Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference Data

Lignende værker

• Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction
  af: Zhang, Chi, et al.
  Udgivet: (2019)
• Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms
  af: Hosseini, Seyed Amir Hossein, et al.
  Udgivet: (2020)
• Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling
  af: Hosseini, Seyed Amir Hossein, et al.
  Udgivet: (2020)
• ACCELERATED CORONARY MRI USING 3D SPIRIT-RAKI WITH SPARSITY REGULARIZATION
  af: Hossein Hosseini, Seyed Amir, et al.
  Udgivet: (2019)
• Scan-specific Robust Artificial-neural-networks for k-space Interpolation (RAKI) Reconstruction: Database-free Deep Learning for Fast Imaging
  af: Akçakaya, Mehmet, et al.
  Udgivet: (2018)