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Index by author

April 01, 2024; Volume 45,Issue 4

  1. Jacquin, G.

    1. Neurovascular/Stroke Imaging
      The Management of Persistent Distal Occlusions after Mechanical Thrombectomy and Thrombolysis: An Inter- and Intrarater Agreement Study
      W. Boisseau, A. Benomar, C. Ducroux, R. Fahed, S. Smajda, J. D. B. Diestro, G. Charbonnier, J. Ognard, J. Burel, A. Ter Schiphorst, M. Boulanger, A. Nehme, J. Boucherit, G. Marnat, D. Volders, Q. Holay, G. Forestier, M. Bretzner, D. Roy, S. Vingadassalom, M. Elhorany, L. Nico, G. Jacquin, M. Abdalkader, A. Guedon, P. Seners, K. Janot, V. Dumas, R. Olatunji, S. Gazzola, G. Milot, J. Zehr, T.E. Darsaut, D. Iancu and J. Raymond
      American Journal of Neuroradiology April 2024, 45 (4) 400-405; DOI: https://doi.org/10.3174/ajnr.A8149

  2. Janot, K.

    1. Neurovascular/Stroke Imaging
      The Management of Persistent Distal Occlusions after Mechanical Thrombectomy and Thrombolysis: An Inter- and Intrarater Agreement Study
      W. Boisseau, A. Benomar, C. Ducroux, R. Fahed, S. Smajda, J. D. B. Diestro, G. Charbonnier, J. Ognard, J. Burel, A. Ter Schiphorst, M. Boulanger, A. Nehme, J. Boucherit, G. Marnat, D. Volders, Q. Holay, G. Forestier, M. Bretzner, D. Roy, S. Vingadassalom, M. Elhorany, L. Nico, G. Jacquin, M. Abdalkader, A. Guedon, P. Seners, K. Janot, V. Dumas, R. Olatunji, S. Gazzola, G. Milot, J. Zehr, T.E. Darsaut, D. Iancu and J. Raymond
      American Journal of Neuroradiology April 2024, 45 (4) 400-405; DOI: https://doi.org/10.3174/ajnr.A8149

  3. Jiang, Bin

    1. EDITOR'S CHOICENeurovascular/Stroke Imaging
      A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes
      Yongkai Liu, Preya Shah, Yannan Yu, Jai Horsey, Jiahong Ouyang, Bin Jiang, Guang Yang, Jeremy J. Heit, Margy E. McCullough-Hicks, Stephen M. Hugdal, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers and Greg Zaharchuk
      American Journal of Neuroradiology April 2024, 45 (4) 406-411; DOI: https://doi.org/10.3174/ajnr.A8140

      The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.

  4. Jiang, YueLuan

    1. Neuroimaging Physics/Functional Neuroimaging/CT and MRI Technology
      Visualizing the Habenula Using 3T High-Resolution MP2RAGE and QSM: A Preliminary Study
      BingYang Bian, Lin Hou, YaTing Chai, YueLuan Jiang, XingChen Pan, Yang Sun, HongChao Wang, DongDong Qiu, ZeChen Yu, Hua Zhao, HuiMao Zhang, FanYang Meng and Lei Zhang
      American Journal of Neuroradiology April 2024, 45 (4) 504-510; DOI: https://doi.org/10.3174/ajnr.A8156

  5. John, Kevin

    1. Spine Imaging and Spine Image-Guided Interventions
      Automated Detection of Cervical Spinal Stenosis and Cord Compression via Vision Transformer and Rules-Based Classification
      David L. Payne, Xuan Xu, Farshid Faraji, Kevin John, Katherine Ferra Pradas, Vahni Vishala Bernard, Lev Bangiyev and Prateek Prasanna
      American Journal of Neuroradiology April 2024, 45 (4) 432-438; DOI: https://doi.org/10.3174/ajnr.A8141

  6. Johnson, Michele H.

    1. Artificial Intelligence
      Understanding Bias in Artificial Intelligence: A Practice Perspective
      Melissa A. Davis, Ona Wu, Ichiro Ikuta, John E. Jordan, Michele H. Johnson and Edward Quigley
      American Journal of Neuroradiology April 2024, 45 (4) 371-373; DOI: https://doi.org/10.3174/ajnr.A8070

  7. Jordan, John E.

    1. Artificial Intelligence
      Understanding Bias in Artificial Intelligence: A Practice Perspective
      Melissa A. Davis, Ona Wu, Ichiro Ikuta, John E. Jordan, Michele H. Johnson and Edward Quigley
      American Journal of Neuroradiology April 2024, 45 (4) 371-373; DOI: https://doi.org/10.3174/ajnr.A8070

  8. Juliano, Amy F.

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Sinonasal (Schneiderian) Tumors in the Temporal Bone: Case Series and Systematic Review
      Francis Deng, Peter M. Sadow, Nabeeha Khan, Xin Wu, Ivan H. El-Sayed, David H. Jung, Christine M. Glastonbury and Amy F. Juliano
      American Journal of Neuroradiology April 2024, 45 (4) 518-524; DOI: https://doi.org/10.3174/ajnr.A8146

      This systematic review of patients with middle ear sinonasal-type tumors with a history of primary sinonasal tumors shows a tumor pattern supporting the hypothesis that the Eustachian tube may facilitate the spread of sinonasal neoplasms from the sinonasal cavity to the temporal bone.

  9. Jung, David H.

    1. FELLOWS' JOURNAL CLUBHead and Neck Imaging
      Sinonasal (Schneiderian) Tumors in the Temporal Bone: Case Series and Systematic Review
      Francis Deng, Peter M. Sadow, Nabeeha Khan, Xin Wu, Ivan H. El-Sayed, David H. Jung, Christine M. Glastonbury and Amy F. Juliano
      American Journal of Neuroradiology April 2024, 45 (4) 518-524; DOI: https://doi.org/10.3174/ajnr.A8146

      This systematic review of patients with middle ear sinonasal-type tumors with a history of primary sinonasal tumors shows a tumor pattern supporting the hypothesis that the Eustachian tube may facilitate the spread of sinonasal neoplasms from the sinonasal cavity to the temporal bone.

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