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Progressively Refined Face Detection Through Semantics-Enriched Representation Learning 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 期号: 1, 页码: 1394-1406
作者:  Li, Zhihang;  Tang, Xu;  Wu, Xiang;  Liu, Jingtuo;  He, Ran
Adobe PDF(6813Kb)  |  收藏  |  浏览/下载：274/44  |  提交时间：2021/03/15
Face detection  object detection  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：432/66  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：346/76  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：324/74  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
Altered large-scale functional brain networks in neurological Wilson's disease 期刊论文
BRAIN IMAGING AND BEHAVIOR, 2020, 卷号: 14, 期号: 5, 页码: 1445-1455
作者:  Jing, Rixing;  Han, Yongsheng;  Cheng, Hewei;  Han, Yongzhu;  Wang, Kai;  Weintraub, Daniel;  Fan, Yong
收藏  |  浏览/下载：287/0  |  提交时间：2021/01/07
Wilson's disease  Large-scale functional brain networks  Functional magnetic resonance images  Machine learning  Biomarkers  
Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network 期刊论文
INFORMATION PROCESSING & MANAGEMENT, 2020, 卷号: 57, 期号: 6, 页码: 16
作者:  Hu, Kai;  Chen, Kai;  He, Xizhi;  Zhang, Yuan;  Chen, Zhineng;  Li, Xuanya;  Gao, Xieping
收藏  |  浏览/下载：240/0  |  提交时间：2021/01/06
Intracerebral hemorrhage  Segmentation  Convolutional neural networks  Multi-scale features  Data imbalance  
Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 11, 页码: 2344-2355
作者:  Wei, Wei;  Qiu, Shuang;  Ma, Xuelin;  Li, Dan;  Wang, Bo;  He, Huiguang
浏览  |  Adobe PDF(2448Kb)  |  收藏  |  浏览/下载：433/116  |  提交时间：2021/01/06
Electroencephalography  Calibration  Correlation  Brain modeling  Task analysis  Feature extraction  Visualization  EEG  RSVP-based BCI  calibration reduction  multi-source domain adaptation  correlation metric learning  
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：469/99  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 58, 页码: 11
作者:  Zhang, Jing;  Yao, Kuan;  Liu, Panpan;  Liu, Zhenyu;  Han, Tao;  Zhao, Zhiyong;  Cao, Yuntai;  Zhang, Guojin;  Zhang, Junting;  Tian, Jie;  Zhou, Junlin
收藏  |  浏览/下载：252/0  |  提交时间：2020/12/04
Meningioma  Brain invasion  Radiomics  Magnetic resonance images  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：324/63  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability