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    Index by author — June 01, 2020, 41 (6) | American Journal of Neuroradiology  
    
















    





















    
  
  




    
    

  

      


    

      

  
  
  

    

  

    

  

                
    

      

  

    

  
      
  
  

    


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Index by author
  	
      
June 01, 2020; Volume 41,Issue 6 

  
  
   

  
  



  


  
  



			

		

	
	
 	
	  
  

		
		

			

			  

  
      
  
  

    
  1. Clarke, M.A.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis  
    	
      M.A. Clarke, D. Pareto, L. Pessini-Ferreira, G. Arrambide, M. Alberich, F. Crescenzo, S. Cappelle, M. Tintoré, J. Sastre-Garriga, C. Auger, X. Montalban, N. Evangelou and À. Rovira
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1001-1008; DOI: https://doi.org/10.3174/ajnr.A6547 
      
  
  
  

      

  2. Coert, B.A.
    1. 
  
  
      
      Adult Brain 
      
  
      
      
  
      Prediction of Outcome Using Quantified Blood Volume in Aneurysmal SAH  
    	
      W.E. van der Steen, H.A. Marquering, L.A. Ramos, R. van den Berg, B.A. Coert, A.M.M. Boers, M.D.I. Vergouwen, G.J.E. Rinkel, B.K. Velthuis, Y.B.W.E.M. Roos, C.B.L.M. Majoie, W.P. Vandertop and D. Verbaan
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1015-1021; DOI: https://doi.org/10.3174/ajnr.A6575 
      
  
  
  

      

  3. Conrad, M.B.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Comparison of MRI, MRA, and DSA for Detection of Cerebral Arteriovenous Malformations in Hereditary Hemorrhagic Telangiectasia  
    	
      M. Vella, M.D. Alexander, M.C. Mabray, D.L. Cooke, M.R. Amans, C.M. Glastonbury, H. Kim, M.W. Wilson, D.E. Langston, M.B. Conrad and S.W. Hetts
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 969-975; DOI: https://doi.org/10.3174/ajnr.A6549 
      
  
  
  

      

  4. Cooke, D.L.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Comparison of MRI, MRA, and DSA for Detection of Cerebral Arteriovenous Malformations in Hereditary Hemorrhagic Telangiectasia  
    	
      M. Vella, M.D. Alexander, M.C. Mabray, D.L. Cooke, M.R. Amans, C.M. Glastonbury, H. Kim, M.W. Wilson, D.E. Langston, M.B. Conrad and S.W. Hetts
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 969-975; DOI: https://doi.org/10.3174/ajnr.A6549 
      
  
  
  

      

  5. Crescenzo, F.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Value of 3T Susceptibility-Weighted Imaging in the Diagnosis of Multiple Sclerosis  
    	
      M.A. Clarke, D. Pareto, L. Pessini-Ferreira, G. Arrambide, M. Alberich, F. Crescenzo, S. Cappelle, M. Tintoré, J. Sastre-Garriga, C. Auger, X. Montalban, N. Evangelou and À. Rovira
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1001-1008; DOI: https://doi.org/10.3174/ajnr.A6547 
      
  
  
  

      

  6. Crowley, R.W.
    1. 
  
  
      
      Interventional 
      
  
      
      
  
      Multicenter Postmarket Analysis of the Neuroform Atlas Stent for Stent-Assisted Coil Embolization of Intracranial Aneurysms  
    	
      J.-K. Burkhardt, V. Srinivasan, A. Srivatsan, F. Albuquerque, A.F. Ducruet, B. Hendricks, B.A. Gross, B.T. Jankowitz, A.J. Thomas, C.S. Ogilvy, G.A. Maragkos, A. Enriquez-Marulanda, R.W. Crowley, M.R. Levitt, L.J. Kim, C.J. Griessenauer, C.M. Schirmer, S. Dalal, K. Piper, M. Mokin, E.A. Winkler, A.A. Abla, C. McDougall, L. Birnbaum, J. Mascitelli, M. Litao, O. Tanweer, H. Riina, J. Johnson, S. Chen and P. Kan
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1037-1042; DOI: https://doi.org/10.3174/ajnr.A6581 
      
  
  
  

      

  7. Czech, T.
    1. 
  
  
      
      Adult Brain 
      
  
      
      Open Access
      
  
      Voxel-Based Morphometry—from Hype to Hope. A Study on Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy  
    	
      F. Riederer, R. Seiger, R. Lanzenberger, E. Pataraia, G. Kasprian, L. Michels, J. Beiersdorf, S. Kollias, T. Czech, J. Hainfellner and C. Baumgartner
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 987-993; DOI: https://doi.org/10.3174/ajnr.A6545 
      
  
  
  

      

    2. 
  
  
      
      LETTER 
      
  
      
      
  
      Reply:  
    	
      O. Foesleitner, K.-H. Nenning, L. Bartha-Doering, C. Baumgartner, E. Pataraia, D. Moser, M. Schwarz, V. Schmidbauer, J.A. Hainfellner, T. Czech, C. Dorfer, G. Langs, D. Prayer, S. Bonelli and G. Kasprian
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) E47-E48; DOI: https://doi.org/10.3174/ajnr.A6597 
      
  
  
  

      

  8. Dalal, S.
    1. 
  
  
      
      Interventional 
      
  
      
      
  
      Multicenter Postmarket Analysis of the Neuroform Atlas Stent for Stent-Assisted Coil Embolization of Intracranial Aneurysms  
    	
      J.-K. Burkhardt, V. Srinivasan, A. Srivatsan, F. Albuquerque, A.F. Ducruet, B. Hendricks, B.A. Gross, B.T. Jankowitz, A.J. Thomas, C.S. Ogilvy, G.A. Maragkos, A. Enriquez-Marulanda, R.W. Crowley, M.R. Levitt, L.J. Kim, C.J. Griessenauer, C.M. Schirmer, S. Dalal, K. Piper, M. Mokin, E.A. Winkler, A.A. Abla, C. McDougall, L. Birnbaum, J. Mascitelli, M. Litao, O. Tanweer, H. Riina, J. Johnson, S. Chen and P. Kan
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1037-1042; DOI: https://doi.org/10.3174/ajnr.A6581 
      
  
  
  

      

  9. Davidzon, G.
    1. 
  
  
      
      EDITOR'S CHOICEAdult Brain 
      
  
      
      
  
      Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data  
    	
      F. Reith, M.E. Koran, G. Davidzon and G. Zaharchuk for the Alzheimer′s Disease Neuroimaging Initiative
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 980-986; DOI: https://doi.org/10.3174/ajnr.A6573 
      
  
    	
      Using the Alzheimer's Disease Neuroimaging Initiative dataset, the authors identified 2582 18F-florbetapir PET scans, which were separated into positive and negative cases by using a standardized uptake value ratio threshold of 1.1. They trained convolutional neural networks to predict standardized uptake value ratio and classify amyloid status. The best performance was seen for ResNet-50 by using regression before classification, 3 input PET slices, and pretraining, with a standardized uptake value ratio root-mean-squared error of 0.054, corresponding to 95.1% correct amyloid status prediction. The best trained network was more accurate than humans (96% versus a mean of 88%, respectively). They conclude that deep learning algorithms can estimate standardized uptake value ratio and use this to classify 18F-florbetapir PET scans and have promise to automate this laborious calculation.
      
  
  

      

  10. Demerath, T.
    1. 
  
  
      
      Adult Brain 
      
  
      
      
  
      Morphometric MRI Analysis: Improved Detection of Focal Cortical Dysplasia Using the MP2RAGE Sequence  
    	
      T. Demerath, L. Rubensdörfer, R. Schwarzwald, A. Schulze-Bonhage, D.-M. Altenmüller, C. Kaller, T. Kober, H.-J. Huppertz and H. Urbach
      
  
    	
      American Journal of Neuroradiology June 2020, 41 (6) 1009-1014; DOI: https://doi.org/10.3174/ajnr.A6579 
      
  
  
  

      

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