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For: Corrado C, Williams S, Roney C, Plank G, O'Neill M, Niederer S. Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation. Europace 2021;23:i12-i20. [PMID: 33437987 PMCID: PMC7943361 DOI: 10.1093/europace/euaa386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 12/15/2020] [Indexed: 11/17/2022] Open

For:	Corrado C, Williams S, Roney C, Plank G, O'Neill M, Niederer S. Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation. Europace 2021;23:i12-i20. [PMID: 33437987 PMCID: PMC7943361 DOI: 10.1093/europace/euaa386] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 12/15/2020] [Indexed: 11/17/2022] Open

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(The first 100,000 artilces are displayed in RCA.)