matlab r2020a v.9.8 (MathWorks Inc)
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MathWorks Inc
matlab r2020a v.9.8
Matlab R2020a V.9.8, supplied by MathWorks Inc, 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/matlab+r2020a+v%2E9%2E8/pm37856176-79-10-9
Average 90 stars, based on 1 article reviews
Matlab R2020a V.9.8, supplied by MathWorks Inc, 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/matlab+r2020a+v%2E9%2E8/pm37856176-79-10-9
Average 90 stars, based on 1 article reviews
matlab r2020a v.9.8 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: In silico simulation of hepatic arteries: An open-source algorithm for efficient synthetic data generation. Article Snippet: Funding information National Institute of Biomedical Imaging and Bioengineering:, Grant/Award Number: R21EB024553; National Cancer Institute, Grant/Award Numbers: T32CA009206, F30CA250408; National Institute of General, Grant/Award Number: T32GM140935 Abstract Background: In silico testing of novel image reconstruction and quantitative algorithms designed for interventional imaging requires realistic high-resolution modeling of arterial trees with contrast dynamics.. Furthermore, data synthesis for training of deep learning algorithms requires that an arterial tree generation algorithm be computationally efficient and sufficiently random.. Purpose: The purpose of this paper is to provide a method for anatomically and physiologically motivated,computationally efficient, random hepatic arterial tree generation. Article Title: Interleaved x-ray imaging: A method for simultaneous acquisition of quantitative and diagnostic digital subtraction angiography. Article Snippet: Image analysis was performed on |