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FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：44/9  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques 期刊论文
PSYCHIATRY RESEARCH, 2023, 卷号: 329, 页码: 12
作者:  Lou, Jing;  Liu, Kai;  Wen, Junyan;  He, Yini;  Sun, Yuqing;  Tian, Xiaohan;  Hu, Ke;  Deng, Yanjia;  Liu, Bing;  Wen, Ge
Adobe PDF(7406Kb)  |  收藏  |  浏览/下载：73/8  |  提交时间：2024/02/22
Major depressive disorder (MDD)  miR-134  Two -stage cross -scale imaging transcriptomic  analyses  Biomarkers  Multi-omics  
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：103/2  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics 期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Zheng, Hanle;  Zheng, Zhong;  Hu, Rui;  Xiao, Bo;  Wu, Yujie;  Yu, Fangwen;  Liu, Xue;  Li, Guoqi;  Deng, Lei
收藏  |  浏览/下载：88/0  |  提交时间：2024/02/21
Four Distinct Subtypes of Alzheimer's Disease Based on Resting-State Connectivity Biomarkers 期刊论文
BIOLOGICAL PSYCHIATRY, 2023, 卷号: 93, 期号: 9, 页码: 759-769
作者:  Chen, Pindong;  Yao, Hongxiang;  Tijms, Betty M.;  Wang, Pan;  Wang, Dawei;  Song, Chengyuan;  Yang, Hongwei;  Zhang, Zengqiang;  Zhao, Kun;  Qu, Yida;  Kang, Xiaopeng;  Du, Kai;  Fan, Lingzhong;  Han, Tong;  Yu, Chunshui;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Lu, Jie;  Han, Ying;  Liu, Bing;  Zhou, Bo;  Liu, Yong
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：205/17  |  提交时间：2023/11/17
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：323/76  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
Brainnetome atlas of preadolescent children based on anatomical connectivity profiles 期刊论文
CEREBRAL CORTEX, 2022, 页码: 12
作者:  Li, Wen;  Fan, Lingzhong;  Shi, Weiyang;  Lu, Yuheng;  Li, Jin;  Luo, Na;  Wang, Haiyan;  Chu, Congying;  Ma, Liang;  Song, Ming;  Li, Kaixin;  Cheng, Luqi;  Cao, Long;  Jiang, Tianzi
Adobe PDF(1764Kb)  |  收藏  |  浏览/下载：414/83  |  提交时间：2022/11/14
anatomical connectivity  Brainnetome atlas  development  diffusion magnetic resonance imaging  preadolescent child  
Predicting brain age during typical and atypical development based on structural and functional neuroimaging 期刊论文
HUMAN BRAIN MAPPING, 2021, 页码: 13
作者:  Wang, Qi;  Hu, Ke;  Wang, Meng;  Zhao, Yuxin;  Liu, Yong;  Fan, Lingzhong;  Liu, Bing
Adobe PDF(1813Kb)  |  收藏  |  浏览/下载：471/15  |  提交时间：2021/11/04
autism spectrum disorder  autism spectrum disorder  brain age prediction  brain age prediction  developmental heterogeneity  developmental heterogeneity  multimodal magnetic resonance imaging  multimodal magnetic resonance imaging  predictor weights analysis  predictor weights analysis  
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：326/4  |  提交时间：2021/11/02
Autism spectrum disorder (ASD)  Machine learning  Classification  Prediction  fMRI  sMRI  dMRI  
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 期号: 10.1016/j.radonc.2021.06.024, 页码: 230-240
作者:  Yang, Ruijie;  Yang, Xueying;  Wang, Le;  Li, Dingjie;  Guo, Yuexin;  Li, Ying;  Guan, Yumin;  Wu, Xiangyang;  Xu, Shouping;  Zhang, Shuming;  Chan, Maria F.;  Geng, Lisheng;  Sui, Jing
Adobe PDF(2840Kb)  |  收藏  |  浏览/下载：405/64  |  提交时间：2021/11/02
Machine learning  VMAT patient-specific QA  Multi-institution validation  Commissioning  Clinical implementation