Data-driven identification of normalization region for longitudinal coherency of normal brain hyper metabolism

被引：0
|
作者：
Zhang, Huiwei [1 ]
Shi, Kuangyu [2 ,3 ]
Ziegler, Sibylle [2 ,3 ]
Foerster, Stefan [2 ,3 ]
Zuo, Chuantao [2 ,3 ]
机构：
[1] Fudan Univ, Huashan Hosp, PET Ctr, Shanghai 200433, Peoples R China
[2] Tech Univ Munich, Klinikum Rechts Isar, Dept Nucl Med, D-80290 Munich, Germany
[3] Tech Univ Munich, Klinikum Rechts Isar, Neuroimaging Ctr, D-80290 Munich, Germany
来源：
JOURNAL OF NUCLEAR MEDICINE | 2014年 / 55卷
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
2030
引用
收藏
页数：1
相关论文
共 50 条
  • [41] Data-driven identification of nonlinear normal modes via physics-integrated deep learning
    Li, Shanwu
    Yang, Yongchao
    NONLINEAR DYNAMICS, 2021, 106 (04) : 3231 - 3246
  • [42] Data-driven identification of nonlinear normal modes via physics-integrated deep learning
    Shanwu Li
    Yongchao Yang
    Nonlinear Dynamics, 2021, 106 : 3231 - 3246
  • [43] Data-driven transfers are football's new normal
    Andrews, Crispin
    1600, Institution of Engineering and Technology (16):
  • [44] Data-Driven Classification of Spectral Profiles Reveals Brain Region-Specific Plasticity in Blindness
    Lubinus, Christina
    Orpella, Joan
    Keitel, Anne
    Gudi-Mindermann, Helene
    Engel, Andreas K.
    Roeder, Brigitte
    Rimmele, Johanna M.
    CEREBRAL CORTEX, 2021, 31 (05) : 2505 - 2522
  • [45] Data-driven construction of Convex Region Surrogate models
    Zhang, Qi
    Grossmann, Ignacio E.
    Sundaramoorthy, Arul
    Pinto, Jose M.
    OPTIMIZATION AND ENGINEERING, 2016, 17 (02) : 289 - 332
  • [46] Data-driven construction of Convex Region Surrogate models
    Qi Zhang
    Ignacio E. Grossmann
    Arul Sundaramoorthy
    Jose M. Pinto
    Optimization and Engineering, 2016, 17 : 289 - 332
  • [47] Voxel-Based Analysis of [18F]-FDG Brain PET in Rats Using Data-Driven Normalization
    Proesmans, Silke
    Raedt, Robrecht
    Germonpre, Charlotte
    Christiaen, Emma
    Descamps, Benedicte
    Boon, Paul
    De Herdt, Veerle
    Vanhove, Christian
    FRONTIERS IN MEDICINE, 2021, 8
  • [48] Data-driven magnetohydrodynamic model for active region evolution
    Wu, S. T.
    Wang, A. H.
    Liu, Yang
    Hoeksema, J. Todd
    ASTROPHYSICAL JOURNAL, 2006, 652 (01): : 800 - 811
  • [49] Altered resting fMRI spectral power in data-driven brain networks during development: A longitudinal study
    Agcaoglu, Oktay
    Wilson, Tony W.
    Wang, Yu-Ping
    Stephen, Julia M.
    Fu, Zening
    Calhoun, Vince D.
    JOURNAL OF NEUROSCIENCE METHODS, 2022, 372
  • [50] TIME WILL TELL: A LONGITUDINAL, DATA-DRIVEN INVESTIGATION OF BRAIN-BEHAVIOR RELATIONSHIPS DURING READING DEVELOPMENT
    Stites, Mallory C.
    PSYCHOPHYSIOLOGY, 2016, 53 : S4 - S4
12345