Intraoperatively updated neuroimaging using brain modeling and sparse data - Comment

被引：0
|
作者：
Gildenberg, PL
机构：
来源：
NEUROSURGERY | 1999年 / 45卷 / 05期
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
引用
下载
收藏
页码：1207 / 1207
页数：1
相关论文
共 50 条
  • [31] Comment on "In Vivo Neuroimaging of Exosomes Using Gold Nanoparticles"
    Qu, Guangbo
    Zhao, Xingchen
    Jiang, Guibin
    ACS NANO, 2018, 12 (12) : 11717 - 11718
  • [32] The anxious brain at work: Psychophysiological and neuroimaging data on nonconscious brain networks
    不详
    EUROPEAN JOURNAL OF NEUROSCIENCE, 2000, 12 : 312 - 312
  • [33] Neuroimaging alterations of the suicidal brain and its relevance to practice: an updated review of MRI studies
    Dobbertin, Matthew
    Blair, Karina S.
    Carollo, Erin
    Blair, James R.
    Dominguez, Ahria
    Bajaj, Sahil
    FRONTIERS IN PSYCHIATRY, 2023, 14
  • [34] Finding brain oscillations with power dependencies in neuroimaging data
    Daehne, Sven
    Nikulin, Vadim V.
    Ramirez, David
    Schreier, Peter J.
    Mueller, Klaus-Robert
    Haufe, Stefan
    NEUROIMAGE, 2014, 96 : 334 - 348
  • [35] Federation of Brain Age Estimation in Structural Neuroimaging Data
    Basodi, Sunitha
    Raja, Rajikha
    Ray, Bhaskar
    Gazula, Harshvardhan
    Liu, Jingyu
    Verner, Eric
    Calhoun, Vince D.
    2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), 2021, : 3854 - 3857
  • [36] Editorial: Computational modeling methods for naturalistic neuroimaging data
    Ren, Yudan
    Liu, Huan
    Zhang, Shu
    Lv, Jinglei
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2023, 17
  • [37] Modeling and Control of Nonlinear Processes Using Sparse Identification: Using Dropout to Handle Noisy Data
    Abdullah, Fahim
    Alhajeri, Mohammed S.
    Christofides, Panagiotis D.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2022, 61 (49) : 17976 - 17992
  • [38] The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data Classification
    Han, Xiaobing
    Zhong, Yanfei
    He, Lifang
    Yu, Philip S.
    Zhang, Liangpei
    BRAIN INFORMATICS AND HEALTH (BIH 2015), 2015, 9250 : 156 - 166
  • [39] Spatially constrained sparse regression for the data-driven discovery of neuroimaging biomarkers
    Kumar, Kuldeep
    Desrosiers, Christian
    Chaddad, Ahmad
    Toews, Matthew
    2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2016, : 2162 - 2167
  • [40] Modeling pilus structures from sparse data
    Campos, Manuel
    Francetic, Olivera
    Nilges, Michael
    JOURNAL OF STRUCTURAL BIOLOGY, 2011, 173 (03) : 436 - 444
12345