3D Magnetic resonance image denoising using nonlocal and nonconvex tensor train regularization.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 11; pp. 3335 - 3356 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2025
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| 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=189590715&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189590715 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2025 vid: 63 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189590715 186154263 10.1007/s11517-025-03399-7 189590715 ppf: 3335 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: 3D Magnetic resonance image denoising using nonlocal and nonconvex tensor train regularization. aug: au: Wang, Li Zhao, Yun Zhao, Liang Jiang, Bin Xia, Qinling affil: https://ror.org/023rhb549 College of Physics, Chongqing University, Chongqing, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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