Literature DB >> 31547690

Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis: A Solid Basis for Future Work.

Patrick M Colletti1.   

Abstract

Entities:  

Keywords:  Editorials cardiovascular magnetic resonance; ejection fraction; machine learning; mass; neural network; reproducibility

Year:  2019        PMID： 31547690     DOI： 10.1161/CIRCIMAGING.119.009759

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN： 1941-9651            Impact factor:   7.792


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  2 in total

1.  MRI Manufacturer Shift and Adaptation: Increasing the Generalizability of Deep Learning Segmentation for MR Images Acquired with Different Scanners.

Authors:  Wenjun Yan; Lu Huang; Liming Xia; Shengjia Gu; Fuhua Yan; Yuanyuan Wang; Qian Tao
Journal:  Radiol Artif Intell       Date:  2020-07-01

2.  A deep-learning semantic segmentation approach to fully automated MRI-based left-ventricular deformation analysis in cardiotoxicity.

Authors:  By Julia Kar; Michael V Cohen; Samuel P McQuiston; Christopher M Malozzi
Journal:  Magn Reson Imaging       Date:  2021-02-08       Impact factor: 2.546
  2 in total

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