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15 Most Recent IACL papers on PubMed

35779943 35779736 35779582 35779383 35778916 35778807 35778756 35778476 35778436 35778222


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Recent News Items


2021

October

  • Brain Biomechanics Imaging Resources now has 30 datasets available for download.
    • 10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.
    • 10 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).
    • 10 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).
    • All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.
    • The structural images have been processed with SLANT-MACRUISE. The diffusion images with TORTOISE.
    • Individual subjects can be downloaded or complete site sets.
    • Site information and subject details can be found in the available BBIR documents.
    • Additional information is available in our related publications:
      • "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models"  (doi)
      • "MR imaging of human brain mechanics in vivo: new measurements to facilitate the development of computational models of brain injury"  (doi)


  • Ahmed Alshareef's paper titled "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Brain Models" appears in Brain Multiphysics.  (doi)
  • Ahmed Alshareef presented "Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models" at the Biomedical Engineering Society (BMES) Annual Meeting, Orlando, FL, October 6-9, 2021. Integrating Linear Viscoelastic Material Properties Derived from Magnetic Resonance Elastography into Subject-Specific Finite Element Brain Models
  • Jerry L. Prince delivered a keynote at the DALI MICCAI Workshop. Jerry L. Prince delivers the keynote at DALI MICCAI Workshop


September

  • Samuel W. Remedios presented "Joint Image and Label Self-Super-Resolution" at the Simulation and Synthesis in Medical Imaging (SASHIMI 2021) in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021.  (doi) Joint Image and Label Self-Super-Resolution
  • Jacob C. Reinhold presented "A Structural Causal Model for MR Images of Multiple Sclerosis" at the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021), Strasbourg, France, September 27 – October 1, 2021.  (doi) A Structural Causal Model for MR Images of Multiple Sclerosis
  • Lianrui Zuo's paper titled "Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory" appears in NeuroImage.  (doi)





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