ordered subset expectation maximization (os-em) algorithm (Johns Hopkins HealthCare)
90
Structured Review
Johns Hopkins HealthCare
ordered subset expectation maximization (os-em) algorithm
Ordered Subset Expectation Maximization (Os Em) Algorithm, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/expectation-maximization+(em)+algorithm/ordered+subset+expectation+maximization++os+em++algorithm/pm36877236-47-3-18
Average 90 stars, based on 1 article reviews
Ordered Subset Expectation Maximization (Os Em) Algorithm, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/expectation-maximization+(em)+algorithm/ordered+subset+expectation+maximization++os+em++algorithm/pm36877236-47-3-18
Average 90 stars, based on 1 article reviews
ordered subset expectation maximization (os-em) algorithm - by Bioz Stars,
2026-10
90/100 stars
Images
Related Articles
other:Article Title: Evaluation of different CT maps for attenuation correction and segmentation in static 99m Tc-MAA SPECT/CT for 90 Y radioembolization treatment planning: A simulation study. Article Snippet: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record.. Please cite this article as doi: 10.1002/MP.14991 This article is protected by copyright.. All rights reserved Article type : Research Article Article Title: SPECT and CT misregistration reduction in [ 99m Tc]Tc-MAA SPECT/CT for precision liver radioembolization treatment planning. Article Snippet: Purpose Respiration and body movement induce misregistration between static [99mTc]Tc-MAA SPECT and CT, causing lung shunting fraction (LSF) and tumor-to-normal liver ratio (TNR) errors for 90Y radioembolization planning.. We aim to alleviate the misregistration between [99mTc]Tc-MAA SPECT and CT using two registration schemes on simulation and clinical data.. Methods In the simulation study, 70 XCAT phantoms were modeled. |