Search Results - "supervised clustering algorithm"

Validating the Utility of Supervised Clustering Algorithm for Precise [ 11 C]DPA-713 PET Brain Image Quantification by Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona

“… To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative…”
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Image-Derived Input Function Derived from a Supervised Clustering Algorithm: Methodology and Validation in a Clinical Protocol Using [11C](R)-Rolipram by Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S., Liow, Jeih-San, Xu, Rong, Pike, Victor W., Zarate, Carlos A., Fujita, Masahiro, Innis, Robert B.

“… To overcome this limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA…”
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Validating the Utility of Supervised Clustering Algorithm for Precise 11CDPA-713 PET Brain Image Quantification by Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona

“… To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative…”
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Image-Derived Input Function Derived from a Supervised Clustering Algorithm: Methodology and Validation in a Clinical Protocol Using [.sup.11C] by Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S, Liow, Jeih-San, Xu, Rong, Pike, Victor W, Zarate, Carlos A, Fujita, Masahiro, Innis, Robert B

“… To overcome this limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA…”
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Image-derived input function derived from a supervised clustering algorithm: methodology and validation in a clinical protocol using 11C(R)-rolipram by Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S, Liow, Jeih-San, Xu, Rong, Pike, Victor W, Zarate, Carlos A, Fujita, Masahiro, Innis, Robert B

“… To overcome this limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA…”
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Validation of an automatic reference region extraction for the quantification of [ 18 F]DPA-714 in dynamic brain PET studies by García-Lorenzo, Daniel, Lavisse, Sonia, Leroy, Claire, Wimberley, Catriona, Bodini, Benedetta, Remy, Philippe, Veronese, Mattia, Turkheimer, Federico, Stankoff, Bruno, Bottlaender, Michel

“… Here we adapted and validated a supervised clustering (supervised clustering algorithm (SCA)) for [ F]DPA-714 analysis…”
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Innate immune cells and myelin profile in multiple sclerosis: a multi-tracer PET/MR study by Pitombeira, Milena Sales, Koole, Michel, Campanholo, Kenia R., Souza, Aline M., Duran, Fábio L. S., Solla, Davi J. Fontoura, Mendes, Maria F., Pereira, Samira L. Apóstolos, Rimkus, Carolina M., Busatto, Geraldo Filho, Callegaro, Dagoberto, Buchpiguel, Carlos A., de Paula Faria, Daniele

“… T ) was determined for each subject using a metabolite-corrected arterial plasma input function while [ 11 C]PIB distribution volume ratio…”
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Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195 by Kang, Yeona, Schlyer, David, Kaunzner, Ulrike W., Kuceyeski, Amy, Kothari, Paresh J., Gauthier, Susan A.

“…Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a…”
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Automatic Extraction of a Reference Region for the Noninvasive Quantification of Translocator Protein in Brain Using 11C-PBR28 by Zanotti-Fregonara, Paolo, Kreisl, William C, Innis, Robert B, Lyoo, Chul Hyoung

“… A widely used alternative to arterial sampling is a supervised clustering algorithm (SVCA), which identifies the voxels with minimal specific binding in the PET images, thus extracting a reference region for noninvasive kinetic modeling…”
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Validation of an automatic reference region extraction for the quantification of 18FDPA-714 in dynamic brain PET studies by García-Lorenzo, Daniel, Lavisse, Sonia, Leroy, Claire, Wimberley, Catriona, Bodini, Benedetta, Remy, Philippe, Veronese, Mattia, Turkheimer, Federico, Stankoff, Bruno, Bottlaender, Michel

“… Here we adapted and validated a supervised clustering (supervised clustering algorithm (SCA)) for [18F]DPA-714 analysis…”
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Automatic Extraction of a Reference Region for the Noninvasive Quantification of Translocator Protein in Brain Using 11 C-PBR28 by Zanotti-Fregonara, Paolo, Kreisl, William C, Innis, Robert B, Lyoo, Chul Hyoung

“… A widely used alternative to arterial sampling is a supervised clustering algorithm (SVCA), which identifies the voxels with minimal specific binding in the PET images, thus extracting a reference region for noninvasive kinetic modeling…”
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Supervised clustering of high dimensional data using regularized mixture modeling by Chang, Wennan, Wan, Changlin, Zang, Yong, Zhang, Chi, Cao, Sha

“… We proposed a novel supervised clustering algorithm using penalized mixture regression model, called CSMR, to deal with the challenges in studying the heterogeneous relationships between high…”
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Resolving heterogeneity of early-onset major depressive disorder through individual differential structural covariance network analysis by Luo, Zhanjie, Hu, Zhibo, Qiu, Xiaowei, Li, Weicheng, Wang, Chengyu, Lan, Xiaofeng, Mai, Siming, Chen, Yiying, Liu, Guanxi, Zhang, Fan, Chen, Xiaoyu, You, Zerui, Zeng, Yexian, Liang, Yanmei, Chen, Yifang, Lu, Hanna, Zhou, Yanling, Ning, Yuping

“… Semi-supervised clustering algorithms were then employed to classify EO-MDD subtypes, followed by validation analyses to assess clustering stability…”
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Kinetic analysis and test-retest variability of the radioligand [11C](R)-PK11195 binding to TSPO in the human brain - a PET study in control subjects by Jučaite, Aurelija, Cselényi, Zsolt, Arvidsson, Annie, Åhlberg, Gabrielle, Julin, Per, Varnäs, Katarina, Stenkrona, Per, Andersson, Jan, Halldin, Christer, Farde, Lars

“…, with the reference defined anatomically or using unsupervised or supervised clustering algorithms. Kinetic compartment modelling so far has not been…”
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Identification of novel RNA design candidates by clustering the extended RNA-As-Graphs library by Jain, Swati, Zhu, Qiyao, Paz, Amiel S.P., Schlick, Tamar

“…We re-evaluate our RNA-As-Graphs clustering approach, using our expanded graph library and new RNA structures, to identify potential RNA-like topologies for…”
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Kinetic analysis and test-retest variability of the radioligand 11C(R)-PK11195 binding to TSPO in the human brain - a PET study in control subjects by Jučaite, Aurelija, Cselényi, Zsolt, Arvidsson, Annie, Ahlberg, Gabrielle, Julin, Per, Varnäs, Katarina, Stenkrona, Per, Andersson, Jan, Halldin, Christer, Farde, Lars

“…, with the reference defined anatomically or using unsupervised or supervised clustering algorithms. Kinetic compartment modelling so far has not been…”
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Semi-Supervised Clustering Learning Combined with Feature Preferences by Fang, Ling, Chen, Songcan

“… However, the only single-facet information is considered as prior knowledge in existing semi-supervised clustering algorithms…”
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结合特征偏好的半监督聚类学习 by 方玲, 陈松灿

“…TP391.4; 半监督聚类是机器学习的重要研究内容之一，它通过利用样本层面的少量标记数据信息或者利用特征层面的特征偏好信息来指导半监督聚类。但现有的半监督聚类算法仅考…”
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