中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共11条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载：336/95  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：253/35  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：395/85  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
One-stage object detection knowledge distillation via adversarial learning 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 17
作者:  Dong, Na;  Zhang, Yongqiang;  Ding, Mingli;  Xu, Shibiao;  Bai, Yancheng
收藏  |  浏览/下载：178/0  |  提交时间：2021/11/02
Knowledge distillation  Object detection  Generative adversarial learning  
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：406/68  |  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  
Sample-based online learning for bi-regular hinge loss 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2021, 页码: 16
作者:  Xue, Wei;  Zhong, Ping;  Zhang, Wensheng;  Yu, Gaohang;  Chen, Yebin
收藏  |  浏览/下载：171/0  |  提交时间：2021/03/08
SVM  Max-margin classification  Hinge loss  Elastic net  Online learning  
Single shot multi-oriented text detection based on local and non-local features 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2020, 期号: 2020, 页码: 241-252
作者:  Li, XiaoQian;  Liu, Jie;  Zhang, ShuWu;  Zhang, GuiXuan;  Zheng, Yang
浏览  |  Adobe PDF(2525Kb)  |  收藏  |  浏览/下载：305/49  |  提交时间：2020/09/07
Text detection  Natural scene text  Convolutional neural network  Attention mechanism  
OS-LFFD: a light and fast face detector with Ommateum structure 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 20
作者:  Xu, Dezhong;  Wu, Lifang;  He, Yonghao;  Zhao, Qing;  Jian, Meng;  Yan, Junchi;  Zhao, Liang
收藏  |  浏览/下载：181/0  |  提交时间：2020/08/21
Edge devices  Face detector  Effective receptive field  Ommateum block  
Reconstruction for Fluorescence Molecular Tomography via Adaptive Group Orthogonal Matching Pursuit 期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 卷号: 67, 期号: 10.1109/TBME.2019.2963815, 页码: 1-12
作者:  Kong, Lingxin;  An, Yu;  Liang, Qian;  Yin, Lin;  Du, Yang;  Tian, Jie
浏览  |  Adobe PDF(4495Kb)  |  收藏  |  浏览/下载：282/85  |  提交时间：2020/06/03
adaptive group orthogonal matching pursuit  fluorescence molecular tomography  local spatial structured sparsity regularization  inverse problem  
Deep Learning on Point Clouds and Its Application: A Survey 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 19, 页码: 22
作者:  Liu, Weiping;  Sun, Jia;  Li, Wanyi;  Hu, Ting;  Wang, Peng
收藏  |  浏览/下载：234/0  |  提交时间：2020/03/30
feature learning  deep learning  point cloud  application of point cloud