卑贱
发表于 2025-3-21 19:53:43
书目名称Soil Enzymes影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0871232<br><br> <br><br>书目名称Soil Enzymes读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0871232<br><br> <br><br>
Genistein
发表于 2025-3-21 20:59:22
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花争吵
发表于 2025-3-22 03:20:11
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DEMUR
发表于 2025-3-22 06:42:57
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JUST
发表于 2025-3-22 09:11:26
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别名
发表于 2025-3-22 16:10:04
Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliventricles acquired from 2360 patients, with associated demographic information and clinical measurements (used as covariates/conditional information). The results obtained indicate the superiority of the proposed method for conditional synthesis of virtual populations of cardiac left ventricles rel
GIDDY
发表于 2025-3-22 21:03:43
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蛛丝
发表于 2025-3-23 01:15:07
Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampalliwork (DNN) features with locally computed radiomic features. This reduces DNN over-fitting and allows local variations between radiomic features to be better captured. Furthermore, we ensure complementary information is learned by deep and radiomic features by designing a novel feature de-correlatio
刚开始
发表于 2025-3-23 02:27:46
Maddela Naga Raju,Narasimha Golla,Rangaswamy Vengatampallithe loss function. Additionally, CPGNN consists of a multi-scale graph fusion module (MSGF) and a physics-informed loss. MSGF is to generate the features constrained by the coronary topology and better represent the different-range dependence. The physics-informed loss uses the finite difference met
MIRTH
发表于 2025-3-23 05:58:54
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