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Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression 期刊论文
JAMA Network Open, 2024, 卷号: 7, 期号: 3, 页码: 1
作者:  Xu, Ming;  Li, Xuemei;  Teng, Teng;  Huang, Yang;  Liu, Mengqi;  Long, Yicheng;  Lv, Fajin;  Zhi, Dongmei;  Li, Xiang;  Feng, Aichen;  Yu, Shan;  Calhoun, Vince;  Zhou, Xinyu;  Sui, Jing
Adobe PDF(4437Kb)  |  收藏  |  浏览/下载：61/19  |  提交时间：2024/05/28
Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 21
作者:  Fan, Zhenfeng;  Peng, Silong;  Xia, Shihong
收藏  |  浏览/下载：154/0  |  提交时间：2023/11/17
3D face  Dense correspondence  Non-rigid registration  3D morphable model  
PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 10, 页码: 12287-12303
作者:  Zhang, Hongwen;  Tian, Yating;  Zhang, Yuxiang;  Li, Mengcheng;  An, Liang;  Sun, Zhenan;  Liu, Yebin
收藏  |  浏览/下载：98/0  |  提交时间：2023/11/16
Expressive human mesh recovery  full-body motion capture  mesh alignment feedback  monocular 3D reconstruction  
A landmark-free approach for automatic, dense and robust correspondence of 3D faces 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 14
作者:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong
收藏  |  浏览/下载：250/0  |  提交时间：2022/11/14
3D face  Dense correspondence  Non -rigid registration  
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 4, 页码: 1279-1289
作者:  Yao, Dongren;  Sui, Jing;  Wang, Mingliang;  Yang, Erkun;  Jiaerken, Yeerfan;  Luo, Na;  Yap, Pew-Thian;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(2425Kb)  |  收藏  |  浏览/下载：441/80  |  提交时间：2021/05/17
Functional magnetic resonance imaging  Convolution  Diseases  Fuses  Brain modeling  Neuroimaging  White matter  Brain connectivity  graph convolutional network  triplet  classification  
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 卷号: 67, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
作者:  Kong, Lingxin;  An, Yu;  Liang, Qian;  Yin, Lin;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(4495Kb)  |  收藏  |  浏览/下载：313/96  |  提交时间：2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem