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CASIA OpenIR
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Exploring the brain-like properties of deep neural networks: a neural encoding perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 439-455
作者:  Qiongyi Zhou;  Changde Du;  Huiguang He
Adobe PDF(6004Kb)  |  收藏  |  浏览/下载：182/39  |  提交时间：2023/01/17
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：284/67  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
EEG-Based Emotion Recognition with Similarity Learning Network 会议论文
, 德国柏林, 2019/07
作者:  Yixin Wang;  Shuang Qiu;  Jinpeng Li;  Xuelin Ma;  Zhiyue Liang;  Hui Li;  Huiguang He
Adobe PDF(1120Kb)  |  收藏  |  浏览/下载：218/65  |  提交时间：2021/06/21
Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder 期刊论文
MOLECULAR NEUROBIOLOGY, 2020, 期号: 57, 页码: 4031-4044
作者:  Wang, Shengpei;  Wen, Hongwei;  Hu, Xiaopeng;  Xie, Peng;  Qiu, Shuang;  Qian, Yinfeng;  Qiu, Jiang;  He, Huiguang
浏览  |  Adobe PDF(6324Kb)  |  收藏  |  浏览/下载：389/79  |  提交时间：2020/08/03
Resting-state fMRI  Major depressive disorder (MDD)  Hidden Markov model (HMM)  Brain network dynamic  Transition probability  
Sharing deep generative representation for perceived image reconstruction from human brain activity 会议论文
, Anchorage, Alaska, May 14, 2017 - May 19, 2017
作者:  Du Changde;  Du Changying;  He Huiguang
Adobe PDF(531Kb)  |  收藏  |  浏览/下载：389/122  |  提交时间：2019/05/05
Automatic brain labeling via multi-atlas guided fully convolutional networks 期刊论文
Medical Image Analysis, 2019, 期号: 52, 页码: 157-168
作者:  Longwei Fang;  Lichi Zhang;  Dong Nie;  Xiaohuan Cao;  Islem Rekik;  Seong-Whan Lee;  Huiguang He;  Dingguang Shen
Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：516/179  |  提交时间：2019/05/05
Brain Image Labeling, Multi-atlas-based Method, Fully Convolutional Network, Patch-based Labeling