Ultra-Low-Field Brain MRI Enhancement Using a Slice-Based Vision Transformer

This publication has 27 references indexed in Scilit:

• Deep learning based synthesis of MRI, CT and PET: Review and analysis
  Medical Image Analysis, 2023
• MRI scarcity in low‐ and middle‐income countries
  NMR in Biomedicine, 2023
• An integrated target field framework for point-of-care halbach array low-field MRI system design
  Magnetic Resonance Materials in Physics, Biology and Medicine, 2023
• Low-field magnetic resonance image enhancement via stochastic image quality transfer
  Medical Image Analysis, 2023
• Pushing the limits of low‐cost ultra‐low‐field MRI by dual‐acquisition deep learning 3D superresolution
  Magnetic Resonance in Medicine, 2023
• A low-cost and shielding-free ultra-low-field brain MRI scanner
  Nature Communications, 2021
• Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study
  The Lancet Digital Health, 2021
• Portable, bedside, low-field magnetic resonance imaging for evaluation of intracerebral hemorrhage
  Nature Communications, 2021
• Synthetic data in machine learning for medicine and healthcare
  Nature Biomedical Engineering, 2021
• Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging
  Nature Medicine, 2013