Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data

被引：0
|
作者：
Irina Belyaeva
Ben Gabrielson
Yu-Ping Wang
Tony W. Wilson
Vince D. Calhoun
Julia M. Stephen
Tülay Adali
机构：
[1] University of Maryland,Department of Computer Science and Electrical Engineering
[2] Baltimore County,Department of Biomedical Engineering
[3] Tulane University,undefined
[4] The Institute for Human Neuroscience,undefined
[5] Boys Town National Research Hospital,undefined
[6] Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS),undefined
[7] The Mind Research Network,undefined
[8] Lovelace Biomedical Research Institute,undefined
来源：
Neuroinformatics | 2023年 / 21卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：143 / 143
相关论文
共 50 条
  • [21] A Heterogeneous Accelerator Platform for Multi-Subject Voxel-based Brain Network Analysis
    Wang, Yu
    Xu, Mo
    Ren, Ling
    Zhang, Xiaorui
    Wu, Di
    He, Yong
    Xu, Ningyi
    Yang, Huazhong
    2011 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN (ICCAD), 2011, : 339 - 344
  • [22] A core tensor sparsity enhancement method for solving Tucker-2 model of multi-subject fMRI data
    Han, Yue
    Lin, Qiu-Hua
    Kuang, Li -Dan
    Zhao, Bin-Hua
    Gong, Xiao-Feng
    Cong, Fengyu
    Wang, Yu -Ping
    Calhoun, Vince D.
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 95
  • [23] DICTIONARY LEARNING ALGORITHM FOR MULTI-SUBJECT FMRI ANALYSIS VIA TEMPORAL AND SPATIAL CONCATENATION
    Iqbal, Asif
    Seghouane, Abd-Krim
    2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2018, : 2751 - 2755
  • [24] Adaptive independent vector analysis for multi-subject complex-valued fMRI data
    Kuang, Li-Dan
    Lin, Qiu-Hua
    Gong, Xiao-Feng
    Cong, Fengyu
    Calhoun, Vince D.
    JOURNAL OF NEUROSCIENCE METHODS, 2017, 281 : 49 - 63
  • [25] Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
    Smith, Stephen M.
    Jenkinson, Mark
    Johansen-Berg, Heidi
    Rueckert, Daniel
    Nichols, Thomas E.
    Mackay, Clare E.
    Watkins, Kate E.
    Ciccarelli, Olga
    Cader, M. Zaheer
    Matthews, Paul M.
    Behrens, Timothy E. J.
    NEUROIMAGE, 2006, 31 (04) : 1487 - 1505
  • [26] Spatial-Temporal Analysis of Multi-Subject Functional Magnetic Resonance Imaging Data
    Zhang, Tingting
    Pham, Minh
    Yan, Guofen
    Wang, Yaotian
    Medina-DeVilliers, Sara
    Coan, James A.
    ECONOMETRICS AND STATISTICS, 2024, 31 : 117 - 129
  • [27] Structural analysis of fMRI data: A surface-based framework for multi-subject studies
    Operto, Gregory
    Riviere, Denis
    Fertil, Bernard
    Bulot, Remy
    Mangin, Jean-Francois
    Coulon, Olivier
    MEDICAL IMAGE ANALYSIS, 2012, 16 (05) : 976 - 990
  • [28] Fixed and random effect analysis of multi-subject fMRI data using wavelet transform
    Soleymani, Mohammad
    Hossein-Zadeh, Gholam-Ali
    Sotanian-Zadeh, Hamid
    JOURNAL OF NEUROSCIENCE METHODS, 2009, 176 (02) : 237 - 245
  • [29] The impact of temporal compression and space selection on SVM analysis of single-subject and multi-subject fMFI data
    Mourao-Miranda, Janaina
    Reynaud, Emanuelle
    McGlone, Francis
    Calvert, Gernma
    Brammer, Michael
    NEUROIMAGE, 2006, 33 (04) : 1055 - 1065
  • [30] Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data
    Bridwell, David A.
    Rachakonda, Srinivas
    Silva, Rogers F.
    Pearlson, Godfrey D.
    Calhoun, Vince D.
    BRAIN TOPOGRAPHY, 2018, 31 (01) : 47 - 61
12345