首页 > 最新文献
paperpass

Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks最新文献

英文 中文
Magnetic Resonance Imaging Estimation of Longitudinal Relaxation Rate Change (ΔR1) in Dual Gradient Echo Sequences Using an Adaptive Model. 基于自适应模型的双梯度回波序列纵向松弛速率变化的磁共振成像估计(ΔR1)。
H Bagher-Ebadian, S P Nejad-Davarani, M M Ali, S Brown, M Makki, Q Jiang, D C Noll, J R Ewing

Magnetic Resonance Imaging (MRI) estimation of contrast agent concentration in fast pulse sequences such as Dual Gradient Echo (DGE) imaging is challenging. An Adaptive Neural Network (ANN) was trained with a map of contrast agent concentration estimated by Look-Locker (LL) technique (modified version of inversion recovery imaging) as a gold standard. Using a set of features extracted from DGE MRI data, an ANN was trained to create a voxel based estimator of the time trace of CA concentration. The ANN was trained and tested with the DGE and LL information of six Fisher rats using a K-Fold Cross-Validation (KFCV) method with 60 folds and 10500 samples. The Area Under the Receiver Operator Characteristic Curve (AUROC) for 60 folds was used for training, testing and optimization of the ANN. After training and optimization, the optimal ANN (4:7:5:1) produced maps of CA concentration which were highly correlated (r =0.89, P < 0.0001) with the CA concentration estimated by the LL technique. The estimation made by the ANN had an excellent overall performance (AUROC = 0.870).

磁共振成像(MRI)估计造影剂浓度的快速脉冲序列,如双梯度回波(DGE)成像是具有挑战性的。自适应神经网络(ANN)以Look-Locker (LL)技术(改进版反演恢复成像)估计的造影剂浓度图作为金标准进行训练。使用从DGE MRI数据中提取的一组特征,训练人工神经网络来创建基于体素的CA浓度时间轨迹估计器。采用K-Fold交叉验证(K-Fold Cross-Validation, KFCV)方法对6只Fisher大鼠的DGE和LL信息进行训练和测试,共60次,10500个样本。用60倍的接收算子特征曲线下面积(AUROC)进行神经网络的训练、测试和优化。经过训练和优化,最优ANN(4:7:5:1)生成的CA浓度图与LL技术估计的CA浓度高度相关(r =0.89, P < 0.0001)。人工神经网络的总体估计性能很好(AUROC = 0.870)。
{"title":"Magnetic Resonance Imaging Estimation of Longitudinal Relaxation Rate Change (ΔR<sub>1</sub>) in Dual Gradient Echo Sequences Using an Adaptive Model.","authors":"H Bagher-Ebadian,&nbsp;S P Nejad-Davarani,&nbsp;M M Ali,&nbsp;S Brown,&nbsp;M Makki,&nbsp;Q Jiang,&nbsp;D C Noll,&nbsp;J R Ewing","doi":"10.1109/IJCNN.2011.6033544","DOIUrl":"https://doi.org/10.1109/IJCNN.2011.6033544","url":null,"abstract":"<p><p>Magnetic Resonance Imaging (MRI) estimation of contrast agent concentration in fast pulse sequences such as Dual Gradient Echo (DGE) imaging is challenging. An Adaptive Neural Network (ANN) was trained with a map of contrast agent concentration estimated by Look-Locker (LL) technique (modified version of inversion recovery imaging) as a gold standard. Using a set of features extracted from DGE MRI data, an ANN was trained to create a voxel based estimator of the time trace of CA concentration. The ANN was trained and tested with the DGE and LL information of six Fisher rats using a K-Fold Cross-Validation (KFCV) method with 60 folds and 10500 samples. The Area Under the Receiver Operator Characteristic Curve (AUROC) for 60 folds was used for training, testing and optimization of the ANN. After training and optimization, the optimal ANN (4:7:5:1) produced maps of CA concentration which were highly correlated (<i>r =0.89, P < 0.0001</i>) with the CA concentration estimated by the LL technique. The estimation made by the ANN had an excellent overall performance (AUROC = 0.870).</p>","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"2011 ","pages":"2501-2506"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/IJCNN.2011.6033544","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32722311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Perturbation analysis of a class of neural networks 一类神经网络的摄动分析
A. Meyer-Bäse
{"title":"Perturbation analysis of a class of neural networks","authors":"A. Meyer-Bäse","doi":"10.1109/ICNN.1997.616130","DOIUrl":"https://doi.org/10.1109/ICNN.1997.616130","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"40 1","pages":"825-828"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73071258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of fuzzy neural network to ECG diagnosis 模糊神经网络在心电诊断中的应用
Z. Xie, H. Xie, Xing-Bao Ning
{"title":"Application of fuzzy neural network to ECG diagnosis","authors":"Z. Xie, H. Xie, Xing-Bao Ning","doi":"10.1109/ICNN.1997.611637","DOIUrl":"https://doi.org/10.1109/ICNN.1997.611637","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"35 1","pages":"62-66"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77210754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised hierarchical fingerprint matching 无监督分层指纹匹配
A. Ozbayoglu, C. Dagli
{"title":"Unsupervised hierarchical fingerprint matching","authors":"A. Ozbayoglu, C. Dagli","doi":"10.1109/ICNN.1997.614006","DOIUrl":"https://doi.org/10.1109/ICNN.1997.614006","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"40 1","pages":"1439-1442"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75619890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Global stability analysis of a nonlinear principal component analysis neural network 一类非线性主成分分析神经网络的全局稳定性分析
A. Meyer-Bäse
{"title":"Global stability analysis of a nonlinear principal component analysis neural network","authors":"A. Meyer-Bäse","doi":"10.1109/ICNN.1997.614167","DOIUrl":"https://doi.org/10.1109/ICNN.1997.614167","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"10 1","pages":"1785-1787"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82556994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Neural networks based traffic prediction for cell discarding policy 基于神经网络的小区丢弃策略流量预测
Hsiou-Ping Lin, Y. Ouyang
{"title":"Neural networks based traffic prediction for cell discarding policy","authors":"Hsiou-Ping Lin, Y. Ouyang","doi":"10.1109/ICNN.1997.614217","DOIUrl":"https://doi.org/10.1109/ICNN.1997.614217","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"160 1","pages":"2051-2056"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76021233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Using weight decay to optimize the generalization ability of a perceptron 利用权值衰减优化感知器的泛化能力
S. Bös, Chng Eng Siong
{"title":"Using weight decay to optimize the generalization ability of a perceptron","authors":"S. Bös, Chng Eng Siong","doi":"10.1109/ICNN.1996.548898","DOIUrl":"https://doi.org/10.1109/ICNN.1996.548898","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"37 1","pages":"241-246"},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74748476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
RETINET: a neural network for the psychophysics of color vision 视网膜视网膜:用于色觉心理物理学的神经网络
Antonio Glaría-Bengoechea, Jorge Mpodozis-Marín, Ronald Jonas-Zuñiga, A. Leiva
{"title":"RETINET: a neural network for the psychophysics of color vision","authors":"Antonio Glaría-Bengoechea, Jorge Mpodozis-Marín, Ronald Jonas-Zuñiga, A. Leiva","doi":"10.1109/ICNN.1996.548985","DOIUrl":"https://doi.org/10.1109/ICNN.1996.548985","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"23 5","pages":"724-727"},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICNN.1996.548985","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72452581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR) 听觉脑干平均诱发反应生理根源分析的神经网络技术
Antonio Glaría-Bengoechea, Carlos Arancibia-Bórquez
{"title":"Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR)","authors":"Antonio Glaría-Bengoechea, Carlos Arancibia-Bórquez","doi":"10.1109/ICNN.1996.548999","DOIUrl":"https://doi.org/10.1109/ICNN.1996.548999","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"39 1","pages":"800-803"},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84842400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Design of controller for nonlinear multivariable system using dynamic neural unit model 基于动态神经单元模型的非线性多变量系统控制器设计
Seong-Wook Park, Bo-Hyeok Seo
{"title":"Design of controller for nonlinear multivariable system using dynamic neural unit model","authors":"Seong-Wook Park, Bo-Hyeok Seo","doi":"10.1109/ICNN.1996.549248","DOIUrl":"https://doi.org/10.1109/ICNN.1996.549248","url":null,"abstract":"","PeriodicalId":89613,"journal":{"name":"Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks","volume":"27 1","pages":"2232-2237"},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84502423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
期刊
Proceedings of ... International Joint Conference on Neural Networks. International Joint Conference on Neural Networks
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
﹀
mjeditor
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1