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Filter Bank Adversarial Domain Adaptation For Motor Imagery Brain Computer Interface 会议论文
, Online, 18-22 July 2021
作者:  Yukun Zhang;  Shuang Qiu;  Wei Wei;  Xuelin Ma;  Huiguang He
Adobe PDF(602Kb)  |  收藏  |  浏览/下载：101/28  |  提交时间：2023/06/26
brain-computer interface  motor imagery  transfer learning  domain adaptation  filter bank  calibration reduction  
Structural and Functional Brain Abnormalities in Human Immunodeficiency Virus Disease Revealed by Multimodal Magnetic Resonance Imaging Fusion: Association With Cognitive Functio 期刊论文
Clinical Infectious Diseases, 2021, 卷号: 73, 期号: 7, 页码: e2287–93
作者:  Sui Jing;  Li Xiang;  Bell Ryan;  Towe Sheri;  Gadde Syam;  Chen Nan-kuei;  Meade Christina
Adobe PDF(1246Kb)  |  收藏  |  浏览/下载：110/34  |  提交时间：2023/05/16
The effectiveness of emotion cognitive reappraisal as measured by self-reported response and its link to EEG alpha asymmetry 期刊论文
Behavioural Brain Research, 2021, 卷号: 400, 页码: 113042
作者:  Li, Wenjie;  Li, Yingjie;  Cao, Dan
Adobe PDF(2103Kb)  |  收藏  |  浏览/下载：121/76  |  提交时间：2023/04/25
Multi-scale anatomical awareness improves the accuracy of the real-time electric field estimation 会议论文
, Shenzhen，China, 2021-7
作者:  Ma L(马亮);  Zhong GL(钟刚亮);  Yang ZY(杨正宜);  Fan LZ(樊令仲);  Jiang TZ(蒋田仔)
Adobe PDF(1587Kb)  |  收藏  |  浏览/下载：156/39  |  提交时间：2023/01/09
deep regression model  anatomical awareness  real-time, electric field estimation  transcranial magnetic stimulation  
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss 会议论文
, 法国, 2021-10
作者:  Zhao YX(赵元兴);  Zhang YM(张燕明);  Song M(宋明);  Liu CL(刘成林)
Adobe PDF(1114Kb)  |  收藏  |  浏览/下载：164/44  |  提交时间：2022/08/18
AI4AD: Artificial intelligence analysis for Alzheimer's disease classification based on a multisite DTI database 期刊论文
Brain Disorders, 2021, 卷号: 1, 期号: 1, 页码: 10005
作者:  Qu, Yida;  Wang, Pan;  Liu, Bing;  Song, Chengyuan;  Wang, Dawei;  Yang, Hongwei;  Zhang, Zengqiang;  Chen, Pindong;  Kang, Xiaopeng;  Du, Kai;  Yao, Hongxiang;  Zhou, Bo;  Han, Tong;  Zuo, Nianming;  Han, Ying;  Lu, Jie;  Yu, Chunshui;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Liu, Yong
Adobe PDF(957Kb)  |  收藏  |  浏览/下载：354/110  |  提交时间：2022/06/16
Alzheimer's disease (AD)  Diffusion tensor imaging (DTI)  Multisite  Automated fiber quantification (AFQ)  Classification  
Towards Brain-to-Text Generation: Neural Decoding with Pre-trained Encoder-Decoder Models 会议论文
, 线上会议, 2021-12-13
作者:  Shuxian, Zou;  Shaonan, Wang;  Jiajun, Zhang;  Chengqing, Zong
Adobe PDF(321Kb)  |  收藏  |  浏览/下载：156/40  |  提交时间：2022/06/14
Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder 期刊论文
BRAIN CONNECTIVITY, 2021, 卷号: 11, 期号: 10, 页码: 838-849
作者:  Sendi, Mohammad S. E.;  Zendehrouh, Elaheh;  Sui, Jing;  Fu, Zening;  Zhi, Dongmei;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Li, Xianbin;  Wang, Chuanyue;  Abbott, Christopher C.;  Turner, Jessica A.;  Miller, Robyn L.;  Calhoun, Vince D.
收藏  |  浏览/下载：246/0  |  提交时间：2022/06/06
default mode network  dynamic functional network connectivity  machine learning  major depressive disorder  resting-state functional magnetic resonance imaging  
CT-based radiomics to predict development of macrovascular invasion in hepatocellular carcinoma: A multicenter study 期刊论文
Hepatobiliary & Pancreatic Diseases International, 2021, 卷号: 2021, 期号: --, 页码: --
作者:  Jingwei Wei;  Sirui Fu;  Jie Zhang;  Dongsheng Gu;  Xiaoqun Li;  Xudong Chen;  Shuaitong Zhang;  Xiaofei He;  Jianfeng Yan;  Ligong Lu;  Jie Tian
Adobe PDF(1564Kb)  |  收藏  |  浏览/下载：163/36  |  提交时间：2022/04/06
Computed tomography  Hepatocellular carcinoma  Macrovascular invasion  Prognosis  Radiomics  
Compact MR Magnet Design Methodology for Superconducting Animal MRI Scanner 期刊论文
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 卷号: 31, 期号: 2, 页码: 6
作者:  Hu, Geli;  Ni, Zhipeng;  Zhang, Baogui;  Jiang, Tianzi
收藏  |  浏览/下载：168/0  |  提交时间：2022/03/17
Actively shielding (AS)  animal magnetic resonance imaging (MRI)  electromagnetic stress  homogeneous superconducting magnet  hybrid numerical methodology