审美家 发表于 2025-3-21 19:24:46

书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0231976<br><br>        <br><br>书目名称Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0231976<br><br>        <br><br>

CHANT 发表于 2025-3-21 22:03:39

Bhabesh Deka,Sumit DattaBasics of compressed sensing MRI reconstruction.Covers recently developed reconstruction algorithms.Presents experimental results both graphically and visually.Includes comparative analyses of results

不舒服 发表于 2025-3-22 02:23:52

Springer Series on Bio- and Neurosystemshttp://image.papertrans.cn/c/image/231976.jpg

habitat 发表于 2025-3-22 05:06:51

https://doi.org/10.1007/978-981-13-3597-6Rapid magnetic resonance image reconstruction; k-space undersampling; Compressed sensing MRI; Fast L1-n

adipose-tissue 发表于 2025-3-22 11:49:36

Springer Nature Singapore Pte Ltd. 2019

深陷 发表于 2025-3-22 14:37:08

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深陷 发表于 2025-3-22 20:04:40

Schlussbemerkungen und Ausblick,mpling theorem. This in return increases the computational effort for reconstruction which may be dealt with some efficient solvers based on convex optimization. To reconstruct MR image from undersampled Fourier data, an underdetermined system of equations is needed to be solved with some additional

fleeting 发表于 2025-3-22 23:33:50

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做事过头 发表于 2025-3-23 03:07:35

Strategisches Kompetenz-Managementtic MRI datasets. From experimental results, it has been observed that composite splitting based algorithms outperform others in terms of reconstruction quality, CPU time, and visual results. Additionally, to demonstrate the effectiveness of iterative reweighting an adaptive weighting scheme is comb

使长胖 发表于 2025-3-23 09:12:08

https://doi.org/10.1007/978-3-8349-8186-8uccessfully integrated CS-MRI into the existing MRI scanner for clinical studies and within a short span of time it would be also available at a commercial scale. This chapter mainly aims to throw lights upon creating a set of common goals that practical CS-MRI reconstruction algorithms should proje
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查看完整版本: Titlebook: Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms; A Convex Optimizatio Bhabesh Deka,Sumit Datta Book 2019 Springer Nat