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Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series
Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series
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Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series

Wismuller, A. ; Meyer-Baese, A. ; Lange, O. ; Reiser, M.F. ; Leinsinger, G.

IEEE transactions on medical imaging, 2006-01, Vol.25 (1), p.62-73

United States: IEEE

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2
Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure
Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure
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Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure

Wang, Henry ; Ma, Yunzhi ; Pratx, Guillem ; Xing, Lei

Physics in medicine & biology, 2011-09, Vol.56 (17), p.N175-N181 [Periódico revisado por pares]

England

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3
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI
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Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI

Wang, Nan ; Yao, Dongren ; Ma, Lizhuang ; Liu, Mingxia

Medical image analysis, 2022-01, Vol.75, p.102279-102279, Article 102279 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks
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Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks

Li, Fan ; Liu, Manhua

Computerized medical imaging and graphics, 2018-12, Vol.70, p.101-110 [Periódico revisado por pares]

United States: Elsevier Ltd

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5
Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models
Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models
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Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models

Chee-Ming Ting ; Ombao, Hernando ; Samdin, S. Balqis ; Salleh, Sh-Hussain

IEEE transactions on medical imaging, 2018-04, Vol.37 (4), p.1011-1023

United States: IEEE

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6
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors
Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors
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Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors

Wu, Guoqing ; Chen, Yinsheng ; Wang, Yuanyuan ; Yu, Jinhua ; Lv, Xiaofei ; Ju, Xue ; Shi, Zhifeng ; Chen, Liang ; Chen, Zhongping

IEEE transactions on medical imaging, 2018-04, Vol.37 (4), p.893-905

United States: IEEE

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7
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
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Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes

Wen, Junhao ; Varol, Erdem ; Sotiras, Aristeidis ; Yang, Zhijian ; Chand, Ganesh B. ; Erus, Guray ; Shou, Haochang ; Abdulkadir, Ahmed ; Hwang, Gyujoon ; Dwyer, Dominic B. ; Pigoni, Alessandro ; Dazzan, Paola ; Kahn, Rene S. ; Schnack, Hugo G. ; Zanetti, Marcus V. ; Meisenzahl, Eva ; Busatto, Geraldo F. ; Crespo-Facorro, Benedicto ; Rafael, Romero-Garcia ; Pantelis, Christos ; Wood, Stephen J. ; Zhuo, Chuanjun ; Shinohara, Russell T. ; Fan, Yong ; Gur, Ruben C. ; Gur, Raquel E. ; Satterthwaite, Theodore D. ; Koutsouleris, Nikolaos ; Wolf, Daniel H. ; Davatzikos, Christos

Medical image analysis, 2022-01, Vol.75, p.102304-102304, Article 102304 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
Persistent Brain Network Homology From the Perspective of Dendrogram
Persistent Brain Network Homology From the Perspective of Dendrogram
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Persistent Brain Network Homology From the Perspective of Dendrogram

Hyekyoung Lee ; Hyejin Kang ; Chung, M. K. ; Bung-Nyun Kim ; Dong Soo Lee

IEEE transactions on medical imaging, 2012-12, Vol.31 (12), p.2267-2277

United States: IEEE

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9
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification
mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification
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mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification

Qian, Pengjiang ; Chen, Yangyang ; Kuo, Jung-Wen ; Zhang, Yu-Dong ; Jiang, Yizhang ; Zhao, Kaifa ; Al Helo, Rose ; Friel, Harry ; Baydoun, Atallah ; Zhou, Feifei ; Heo, Jin Uk ; Avril, Norbert ; Herrmann, Karin ; Ellis, Rodney ; Traughber, Bryan ; Jones, Robert S. ; Wang, Shitong ; Su, Kuan-Hao ; Muzic, Raymond F.

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.819-832

United States: IEEE

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10
Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network
Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network
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Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network

Li, Si ; Chen, Keming ; Ma, Xiangyuan ; Liang, Zengguo

Physics in medicine & biology, 2024-03, Vol.69 (5), p.55016 [Periódico revisado por pares]

England

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