中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共25条，第1-10条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Deep Learning for Brain MRI Confirms Patterned Pathological Progression in Alzheimer's Disease 期刊论文
ADVANCED SCIENCE, 2022, 页码: 19
作者:  Pan, Dan;  Zeng, An;  Yang, Baoyao;  Lai, Gangyong;  Hu, Bing;  Song, Xiaowei;  Jiang, Tianzi
收藏  |  浏览/下载：317/0  |  提交时间：2023/02/22
Alzheimer's disease  deep learning  longitudinal trajectories of neurodegeneration  structural magnetic resonance imaging  
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：215/64  |  提交时间：2023/01/17
STDIN: Spatio-temporal distilled interpolation for electron microscope images 期刊论文
NEUROCOMPUTING, 2022, 卷号: 505, 页码: 188-202
作者:  Wang, Zejin;  Sun, Guodong;  Li, Guoqing;  Shen, Lijun;  Zhang, Lina;  Han, Hua
Adobe PDF(6579Kb)  |  收藏  |  浏览/下载：251/24  |  提交时间：2022/11/14
Spatio-temporal ensemble  Feedback distillation  Electron microscope interpolation  
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：292/0  |  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：269/35  |  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：280/42  |  提交时间：2021/06/21
Fundus images  blood vessel segmentation  CSU-Net  feature fusion  structure loss  
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：410/70  |  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  
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 547, 页码: 1025-1044
作者:  Li, Dan;  Du, Changde;  Wang, Shengpei;  Wang, Haibao;  He, Huiguang
Adobe PDF(2428Kb)  |  收藏  |  浏览/下载：360/53  |  提交时间：2021/03/02
Data augmentation  Semantic decoding  Multi-view adversarial learning  Sparse reconstruction relation  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：427/88  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：300/57  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning