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Index by author

February 01, 2021; Volume 42,Issue 2

  1. Rouchaud, A.

    1. Interventional
      Open Access
      WEB Device Shape Changes in Elastase-Induced Aneurysms in Rabbits
      Y. Ding, D. Dai, A. Rouchaud, K. Janot, S. Asnafi, D.F. Kallmes and R. Kadirvel
      American Journal of Neuroradiology February 2021, 42 (2) 334-339; DOI: https://doi.org/10.3174/ajnr.A6899

  2. Ruedinger, K.L.

    1. Interventional
      Open Access
      4D-DSA: Development and Current Neurovascular Applications
      K.L. Ruedinger, S. Schafer, M.A. Speidel and C.M. Strother
      American Journal of Neuroradiology February 2021, 42 (2) 214-220; DOI: https://doi.org/10.3174/ajnr.A6860

  3. Saban, M.

    1. EDITOR'S CHOICEAdult Brain
      Evaluation of Artificial Intelligence–Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center
      A. Yahav-Dovrat, M. Saban, G. Merhav, I. Lankri, E. Abergel, A. Eran, D. Tanne, R.G. Nogueira and R. Sivan-Hoffmann
      American Journal of Neuroradiology February 2021, 42 (2) 247-254; DOI: https://doi.org/10.3174/ajnr.A6923

      The authors' evaluation of Viz LVO shows that the system has the potential for early identification of patients with stroke with large-vessel occlusions, hopefully improving future management and stroke care.

  4. Sanelli, P.

    1. Adult Brain
      Open Access
      COVID-19 Severity and Stroke: Correlation of Imaging and Laboratory Markers
      J.M. Katz, R.B. Libman, J.J. Wang, C.G. Filippi, P. Sanelli, A. Zlochower, M. Gribko, S.V. Pacia, R.I. Kuzniecky, S. Najjar and S. Azhar
      American Journal of Neuroradiology February 2021, 42 (2) 257-261; DOI: https://doi.org/10.3174/ajnr.A6920

  5. Schafer, S.

    1. Interventional
      Open Access
      4D-DSA: Development and Current Neurovascular Applications
      K.L. Ruedinger, S. Schafer, M.A. Speidel and C.M. Strother
      American Journal of Neuroradiology February 2021, 42 (2) 214-220; DOI: https://doi.org/10.3174/ajnr.A6860

  6. Schievink, W.I.

    1. Spine
      Spinal CSF-Venous Fistulas in Morbidly and Super Obese Patients with Spontaneous Intracranial Hypotension
      W.I. Schievink, M. Maya, R.S. Prasad, V.S. Wadhwa, R.B. Cruz and F.G. Moser
      American Journal of Neuroradiology February 2021, 42 (2) 397-401; DOI: https://doi.org/10.3174/ajnr.A6895

  7. Schoo, D.P.

    1. FELLOWS' JOURNAL CLUBHead & Neck
      Open Access
      Vestibular Implant Imaging
      A. Hedjoudje, D.P. Schoo, B.K. Ward, J.P. Carey, C.C. Della Santina and M. Pearl
      American Journal of Neuroradiology February 2021, 42 (2) 370-376; DOI: https://doi.org/10.3174/ajnr.A6991

      Flat panel CT of vestibular implants produces higher-resolution images with fewer artifacts than multidetector row CT, allowing visualization of individual electrode contacts and quantification of their locations relative to vestibular semicircular canals and ampullae.

  8. Scola, E.

    1. Pediatrics
      Assessment of the Membranous Labyrinth in Infants Using a Heavily T2-weighted 3D FLAIR Sequence without Contrast Agent Administration
      G. Conte, S. Casale, L. Caschera, F.M. Lo Russo, C. Paolella, C. Cinnante, F. Di Berardino, D. Zanetti, D. Stocchetti, E. Scola, L. Bassi and F. Triulzi
      American Journal of Neuroradiology February 2021, 42 (2) 377-381; DOI: https://doi.org/10.3174/ajnr.A6876

  9. Sepp, D.

    1. Adult Brain
      Basal Ganglia versus Peripheral Infarcts: Predictive Value of Early Fiber Alterations
      M.T. Berndt, D. Pürner, C. Maegerlein, S. Wunderlich, B. Friedrich, C. Zimmer, D. Sepp, J. Kaesmacher and T. Boeckh-Behrens
      American Journal of Neuroradiology February 2021, 42 (2) 264-270; DOI: https://doi.org/10.3174/ajnr.A6886

  10. Shiroishi, M.S.

    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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