Fast undersampled dynamic MRI reconstruction using explicit representation learning with Gaussian splatting

Documenti analoghi

• Enhancing quality and speed in database-free neural network reconstructions of undersampled MRI with SCAMPI
  di: Siedler, Thomas M., et al.
  Pubblicazione: (2022)
• AI‐based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models
  di: Laurens Beljaards, et al.
  Pubblicazione: (2024)
• Transformer‐ and joint learning‐based dual‐domain networks for undersampled MRI segmentation
  di: Jizhong Duan, et al.
  Pubblicazione: (2024)
• An in vivo validation dataset for dynamic volumetric MRI
  di: van Riel, Max H. C., et al.
  Pubblicazione: (2026)
• GS-DOT: Gaussian splatting-based image reconstruction for diffuse optical tomography
  di: Jiang, Jingjing
  Pubblicazione: (2026)