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Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

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Title: Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.
Authors: Udin, Michael H.1,2,3,4 (AUTHOR) mudin@buffalo.edu, Armstrong, Sara1 (AUTHOR), Kai, Alice1 (AUTHOR), Doyle, Scott T.2 (AUTHOR), Pokharel, Saraswati2,3 (AUTHOR), Ionita, Ciprian N.2,4 (AUTHOR), Sharma, Umesh C.1 (AUTHOR)
Source: PLoS ONE. 6/9/2025, Vol. 20 Issue 6, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.
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        Value: 10.1371/journal.pone.0313971
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              Text: 6/9/2025
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