Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem.
| Publicado en: | BMC Cardiovascular Disorders Vol. 25; no. 1; pp. 1 - 14 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
4/28/2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184788163&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184788163 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712261 1CHA jtl: BMC Cardiovascular Disorders issn: 14712261 maglogo: N pubinfo: dt: 4/28/2025 vid: 25 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 184788163 10.1186/s12872-025-04728-2 184788163 ppf: 1 ppct: 13 formats: tig: atl: Research on noninvasive electrophysiologic imaging based on cardiac electrophysiology simulation and deep learning methods for the inverse problem. aug: au: Chang, Yi Dong, Ming Fan, Lihong Kang, Bochao Sun, Weikai Li, Xiaofeng Yang, Zhang Ren, Ming affil: https://ror.org/017zhmm22 School of Electrical Engineering, Xi'an Jiaotong University, 710049, Xi'an, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|