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Dynamic mode decomposition as a framework for denoising ultrafast power doppler images.

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Bibliographic Details
Title:	Dynamic mode decomposition as a framework for denoising ultrafast power doppler images.
Authors:	Pialot B; INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France; Department of Information Engineering, University of Florence, 50139 Florence, Italy. Electronic address: baptiste.pialot@emse.fr., Guidi F; Department of Information Engineering, University of Florence, 50139 Florence, Italy., Muleki-Seya P; INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France., Boni E; Department of Information Engineering, University of Florence, 50139 Florence, Italy., Ramalli A; Department of Information Engineering, University of Florence, 50139 Florence, Italy., Varray F; INSA-Lyon, Universite Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Lyon, France.
Source:	Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Mar; Vol. 276, pp. 109221. Date of Electronic Publication: 2025 Dec 26.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1872-7565
DOI:	10.1016/j.cmpb.2025.109221