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Improved Video Emotion Recognition with Alignment of CNN and Human Brain Representations 期刊论文
IEEE Transactions on Affective Computing, 2023, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(3907Kb)  |  收藏  |  浏览/下载：22/3  |  提交时间：2024/05/28
CNN-brain Alignment  Brain-guided Deep Learning  Video Emotion Recognition  Representation Similarity Analysis  
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 卷号: 45, 期号: 9, 页码: 10760 - 10777
作者:  Du Changde(杜长德);  Fu Kaicheng(付铠城);  Li Jinpeng(李劲鹏);  He Huiguang(何晖光)
Adobe PDF(4669Kb)  |  收藏  |  浏览/下载：415/69  |  提交时间：2023/05/05
Brain-visual-linguistic embedding  generic neural decoding  multimodal learning  mutual information maximization  
Dynamic Weighted Filter Bank Domain Adaptation for Motor Imagery Brain-Computer Interfaces 期刊论文
IEEE Transactions on Cognitive and Developmental Systems (TCDS), 2022, 页码: 1-1
作者:  Yukun Zhang;  Shuang Qiu;  Wei Wei;  Xuelin Ma;  Huiguang H
Adobe PDF(1058Kb)  |  收藏  |  浏览/下载：219/66  |  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：288/68  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons 期刊论文
Frontiers in Neuroscience, 2022, 卷号: 16, 页码: 13
作者:  Li, Yang;  Zhao, Dongcheng;  Zeng, Yi
Adobe PDF(3930Kb)  |  收藏  |  浏览/下载：237/3  |  提交时间：2022/11/21
spiking neural network  bistability  neuromorphic computing  image classification  conversion  
Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement 期刊论文
CEREBRAL CORTEX, 2022, 页码: 18
作者:  Shi, Weiyang;  Fan, Lingzhong;  Wang, Haiyan;  Liu, Bing;  Li, Wen;  Li, Jin;  Cheng, Luqi;  Chu, Congying;  Song, Ming;  Sui, Jing;  Luo, Na;  Cui, Yue;  Dong, Zhenwei;  Lu, Yuheng;  Ma, Yawei;  Ma, Liang;  Li, Kaixin;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Lv, Luxian;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yan, Hao;  Yan, Jun;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi
Adobe PDF(4129Kb)  |  收藏  |  浏览/下载：472/155  |  提交时间：2022/09/19
schizophrenia  subtype  structural MRI  neuroimaging-clinic association analysis  neuroimaging-transcription association analysis  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(999Kb)  |  收藏  |  浏览/下载：224/2  |  提交时间：2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning  
Brain imaging-based machine learning in autism spectrum disorder: methods and applications 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2021, 卷号: 361, 页码: 109271
作者:  Xu, Ming;  Calhoun, Vince;  Jiang, Rongtao;  Yan, Weizheng;  Sui, Jing
Adobe PDF(5520Kb)  |  收藏  |  浏览/下载：294/0  |  提交时间：2021/11/02
Autism spectrum disorder (ASD)  Machine learning  Classification  Prediction  fMRI  sMRI  dMRI  
Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 8, 页码: 0-0
作者:  Bo,Wang;  Wei,Wei;  Shuang,Qiu;  Shengpei,Wang;  Huiguang,He
Adobe PDF(23227Kb)  |  收藏  |  浏览/下载：274/35  |  提交时间：2021/06/21
Retinal layers segmentation  Boundary detection  OCT  BAU-Net  Topology guarantee loss  
CSU-Net: A Context Spatial U-Net for Accurate Blood Vessel Segmentation in Fundus Images 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 4, 页码: 1128-1138
作者:  Bo,Wang;  Shengpei,Wang;  Shuang,Qiu;  Wei,Wei;  Haibao,Wang;  Huiguang,He
Adobe PDF(6892Kb)  |  收藏  |  浏览/下载：283/42  |  提交时间：2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss