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Index by author

February 01, 2021; Volume 42,Issue 2

  1. Herweh, C.

    1. Interventional
      Periprocedural Safety and Feasibility of the New LVIS EVO Device for Stent-Assisted Coiling of Intracranial Aneurysms: An Observational Multicenter Study
      D.F. Vollherbst, A. Berlis, C. Maurer, L. Behrens, S. Sirakov, A. Sirakov, S. Fischer, V. Maus, M. Holtmannspötter, R. Rautio, M. Sinisalo, W. Poncyljusz, H. Janssen, F. Wodarg, C. Kabbasch, J. Trenkler, C. Herweh, M. Bendszus and M.A. Möhlenbruch
      American Journal of Neuroradiology February 2021, 42 (2) 319-326; DOI: https://doi.org/10.3174/ajnr.A6887

  2. Holtmannspotter, M.

    1. Interventional
      Periprocedural Safety and Feasibility of the New LVIS EVO Device for Stent-Assisted Coiling of Intracranial Aneurysms: An Observational Multicenter Study
      D.F. Vollherbst, A. Berlis, C. Maurer, L. Behrens, S. Sirakov, A. Sirakov, S. Fischer, V. Maus, M. Holtmannspötter, R. Rautio, M. Sinisalo, W. Poncyljusz, H. Janssen, F. Wodarg, C. Kabbasch, J. Trenkler, C. Herweh, M. Bendszus and M.A. Möhlenbruch
      American Journal of Neuroradiology February 2021, 42 (2) 319-326; DOI: https://doi.org/10.3174/ajnr.A6887

  3. Hsu, C.C.-T.

    1. Adult Brain
      Quantifying Tissue Properties of the Optic Radiations Using Strategically Acquired Gradient Echo Imaging and Enhancing the Contrast Using Diamagnetic Susceptibility Weighted Imaging
      P.K. Jella, Y. Chen, W. Tu, S. Makam, S. Beckius, E. Hamtaei, C.C.-T. Hsu and E.M. Haacke
      American Journal of Neuroradiology February 2021, 42 (2) 285-287; DOI: https://doi.org/10.3174/ajnr.A6897

  4. Hu, Y.

    1. Pediatrics
      Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression
      K.A. Cauley, Y. Hu and S.W. Fielden
      American Journal of Neuroradiology February 2021, 42 (2) 382-388; DOI: https://doi.org/10.3174/ajnr.A6885

  5. Hwang, D.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Improved Glioma Grading Using Deep Convolutional Neural Networks
      S. Gutta, J. Acharya, M.S. Shiroishi, D. Hwang and K.S. Nayak
      American Journal of Neuroradiology February 2021, 42 (2) 233-239; DOI: https://doi.org/10.3174/ajnr.A6882

      Convolutional neural networks are able to learn discriminating features automatically, and these features provide added value for grading gliomas.

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