Ngā tūemi rite

• K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
  mā: Wang, Frederic, me ētahi atu.
  I whakaputaina: (2023)
• Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
  mā: Lin, Kang, me ētahi atu.
  I whakaputaina: (2023)
• NexOP: Joint Optimization of NEX-Aware k-space Sampling and Image Reconstruction for Low-Field MRI
  mā: Oved, Tal, me ētahi atu.
  I whakaputaina: (2026)
• Deep learning of personalized priors from past MRI scans enables fast, quality-enhanced point-of-care MRI with low-cost systems
  mā: Oved, Tal, me ētahi atu.
  I whakaputaina: (2025)
• Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation
  mā: Krainovic, Anselm, me ētahi atu.
  I whakaputaina: (2024)