Literature DB >> 28866478

Correction to "Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View".

A H Abdi, C Luong, T Tsang, G Allan, S Nouranian, J Jue, D Hawley, S Fleming, K Gin, J Swift, R Rohling, P Abolmaesumi.   

Abstract

In the above paper [1], the first footnote should have indicated the following information: A. H. Abdi and C. Luong are joint first authors.

Year:  2017        PMID： 28866478     DOI： 10.1109/TMI.2017.2741762

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN： 0278-0062            Impact factor:   10.048


  2 in total

1.  Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy.

Authors:  Paolo Zaffino; Guillaume Pernelle; Andre Mastmeyer; Alireza Mehrtash; Hongtao Zhang; Ron Kikinis; Tina Kapur; Maria Francesca Spadea
Journal:  Phys Med Biol       Date:  2019-08-14       Impact factor: 3.609

Review 2.  Artificial intelligence for the echocardiographic assessment of valvular heart disease.

Authors:  Rashmi Nedadur; Bo Wang; Wendy Tsang
Journal:  Heart       Date:  2022-09-26       Impact factor: 7.365
  2 in total

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