Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Documenti analoghi

• Fast refacing of MR images with a generative neural network lowers re‐identification risk and preserves volumetric consistency
  di: Nataliia Molchanova, et al.
  Pubblicazione: (2024)
• From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models
  di: Gordaliza, Pedro M., et al.
  Pubblicazione: (2026)
• Gradient Boosted Risk Scores
  di: Georgantas, Costa, et al.
  Pubblicazione: (2026)
• Weak limit of homeomorphisms in $W^{1,n-1}$: invertibility and lower semicontinuity of energy
  di: Doležalová, Anna, et al.
  Pubblicazione: (2022)
• Combined caLculation of Ultra‐high field Biases ( CLUB ) With Sandwich: Fast, Simultaneous Estimation of 3D B 0 and Multi‐Channel B 1 + Maps at 7 T
  di: Natalia Pato Montemayor, et al.
  Pubblicazione: (2026)