Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction

समान संसाधन

• A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction
  द्वारा: Md. Biddut Hossain, और अन्य
  प्रकाशित: (2023-03-01)
• De-Aliasing and Accelerated Sparse Magnetic Resonance Image Reconstruction Using Fully Dense CNN with Attention Gates
  द्वारा: Md. Biddut Hossain, और अन्य
  प्रकाशित: (2022-12-01)
• Depth Estimation for Integral Imaging Microscopy Using a 3D–2D CNN with a Weighted Median Filter
  द्वारा: Shariar Md Imtiaz, और अन्य
  प्रकाशित: (2022-07-01)
• U²-Net-Combined End-to-End Unsupervised Learning Method for Implementing Accurate Computer-Generated Phase-Only Hologram
  द्वारा: F. M. Fahmid Hossain, और अन्य
  प्रकाशित: (2025-01-01)
• A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction
  द्वारा: Md. Biddut Hossain, और अन्य
  प्रकाशित: (2024-01-01)