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    Index by author — November 01, 2021, 42 (11) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
November 01, 2021; Volume 42,Issue 11 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Pantano, P.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis  
    	
      G. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. Cocozza
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274 
      
  
    	
      The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
      
  
  

      

  2. Pavlina, A.A.
    1. 
  
  
      
      Head & Neck 
      
  
      
      
  
      Dual-Energy Parathyroid 4D-CT: Improved Discrimination of Parathyroid Lesions from Thyroid Tissue Using Noncontrast 40-keV Virtual Monoenergetic Images  
    	
      P.M. Bunch, A.A. Pavlina, M.E. Lipford and J.R. Sachs
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 2001-2008; DOI: https://doi.org/10.3174/ajnr.A7265 
      
  
  
  

      

  3. Petracca, M.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis  
    	
      G. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. Cocozza
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274 
      
  
    	
      The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
      
  
  

      

  4. Petsas, N.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis  
    	
      G. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. Cocozza
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274 
      
  
    	
      The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
      
  
  

      

  5. Piechowiak, E.I.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      SWI Susceptibility Vessel Sign in Patients Undergoing Mechanical Thrombectomy for Acute Ischemic Stroke  
    	
      N.F. Belachew, T. Dobrocky, E.B. Aleman, T.R. Meinel, A. Hakim, J. Vynckier, M. Arnold, D.J. Seiffge, R. Wiest, P. Mordasini, J. Gralla, U. Fischer, E.I. Piechowiak and J. Kaesmacher
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1949-1955; DOI: https://doi.org/10.3174/ajnr.A7281 
      
  
  
  

      

    2. 
  
  
      
      Interventional 
      
  
      
      Open Access
      
  
      Evolution of MRI Findings in Patients with Idiopathic Intracranial Hypertension after Venous Sinus Stenting  
    	
      N.F. Belachew, W. Almiri, R. Encinas, A. Hakim, S. Baschung, J. Kaesmacher, T. Dobrocky, C.J. Schankin, M. Abegg, E.I. Piechowiak, A. Raabe, J. Gralla and P. Mordasini
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1993-2000; DOI: https://doi.org/10.3174/ajnr.A7311 
      
  
  
  

      

  6. Polomac, N.
    1. 
  
  
      
      Pediatrics 
      
  
      
      Open Access
      
  
      Heterotopia in Individuals with 22q11.2 Deletion Syndrome  
    	
      E. Neuhaus, E. Hattingen, S. Breuer, E. Steidl, N. Polomac, F. Rosenow, T. Rüber, E. Herrmann, C. Ecker, L. Kushan, A. Lin, A. Vajdi, C.E. Bearden and A. Jurcoane
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 2070-2076; DOI: https://doi.org/10.3174/ajnr.A7283 
      
  
  
  

      

  7. Pontillo, G.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis  
    	
      G. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. Cocozza
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274 
      
  
    	
      The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
      
  
  

      

  8. Pozzilli, C.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      Open Access
      
  
      A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis  
    	
      G. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. Cocozza
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274 
      
  
    	
      The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
      
  
  

      

  9. Prayer, D.
    1. 
  
  
      
      Pediatrics 
      
  
      
      
  
      Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI  
    	
      V.U. Schmidbauer, G.O. Dovjak, M.S. Yildirim, G. Mayr-Geisl, M. Weber, M.C. Diogo, G.M. Gruber, F. Prayer, R.-I. Milos, M. Stuempflen, B. Ulm, J. Binder, D. Bettelheim, H. Kiss, D. Prayer and G. Kasprian
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 2086-2093; DOI: https://doi.org/10.3174/ajnr.A7286 
      
  
  
  

      

  10. Prayer, F.
    1. 
  
  
      
      Pediatrics 
      
  
      
      
  
      Mapping Human Fetal Brain Maturation In Vivo Using Quantitative MRI  
    	
      V.U. Schmidbauer, G.O. Dovjak, M.S. Yildirim, G. Mayr-Geisl, M. Weber, M.C. Diogo, G.M. Gruber, F. Prayer, R.-I. Milos, M. Stuempflen, B. Ulm, J. Binder, D. Bettelheim, H. Kiss, D. Prayer and G. Kasprian
      
  
    	
      American Journal of Neuroradiology November 2021, 42 (11) 2086-2093; DOI: https://doi.org/10.3174/ajnr.A7286 
      
  
  
  

      

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