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虹膜呈现攻击检测综述 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 2, 页码: 241-281
作者:  王财勇;  刘星雨;  房美玲;  赵光哲;  何召锋;  孙哲南
Adobe PDF(26163Kb)  |  收藏  |  浏览/下载：3/2  |  提交时间：2024/04/12
虹膜识别  虹膜呈现攻击检测  虹膜合成  泛化性  可解释性  
Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study 期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:  Liu, Ting;  Dong, Di;  Zhao, Xun;  Ou, Xiao-Min;  Yi, Jun-Lin;  Guan, Jian;  Zhang, Ye;  Xiao-Fei, Lv;  Xie, Chuan-Miao;  Luo, Dong-Hua;  Sun, Rui;  Chen, Qiu-Yan;  Xing, Lv;  Guo, Shan-Shan;  Liu, Li-Ting;  Lin, Da-Feng;  Chen, Yan-Zhou;  Lin, Jie-Yi;  Luo, Mei-Juan;  Yan, Wen-Bin;  He, Mei-Lin;  Mao, Meng-Yuan;  Zhu, Man-Yi;  Chen, Wen-Hui;  Shen, Bo-Wen;  Wang, Shi-Qian;  Li, Hai-Lin;  Zhong, Lian-Zhen;  Hu, Chao-Su;  Wu, De-Hua;  Mai, Hai-Qiang;  Tian, Jie;  Tang, Lin-Quan
收藏  |  浏览/下载：30/0  |  提交时间：2024/02/22
Recurrent nasopharyngeal carcinoma  Re-radiotherapy  Nasopharyngeal necrosis  Radiomics  
Evaluation of residual cognition in patients with disorders of consciousness based on functional near-infrared spectroscopy 期刊论文
NEUROPHOTONICS, 2023, 卷号: 10, 期号: 2, 页码: 20
作者:  Si, Juanning;  Yang, Yi;  Xu, Long;  Xu, Tianshuai;  Liu, Hao;  Zhang, Yujin;  Jing, Rixing;  Li, Jinglian;  Wang, Dongdong;  Wu, Sijin;  He, Jianghong
收藏  |  浏览/下载：99/0  |  提交时间：2023/11/17
disorders of consciousness  functional near-infrared spectroscopy  residual awareness  motor imagery  hemodynamic response  
WL-MSR: Watch and Listen for Multimodal Subtitle Recognition 会议论文
, Greece, 2023-6-4
作者:  Liu, Jiawei;  Wang, Hao;  Wang, Weining;  He, Xingjian;  Liu, Jing
Adobe PDF(1673Kb)  |  收藏  |  浏览/下载：121/30  |  提交时间：2023/07/06
Carbonic anhydrase IX stratifies patient prognosis and identifies nodal status in animal models of nasopharyngeal carcinoma using a targeted imaging strategy 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 13
作者:  Huang, Wenhui;  Wang, Kun;  Huang, Weiyuan;  He, Zicong;  Zhang, Jingming;  Zhang, Bin;  Xiong, Zhiyuan;  Gillen, Kelly McCabe;  Li, Wenzhe;  Chen, Feng;  Yang, Xing;  Zhang, Shuixing;  Tian, Jie
收藏  |  浏览/下载：250/0  |  提交时间：2022/09/19
Carbonic anhydrase IX  Nasopharyngeal carcinoma  Extranodal extension  Occult lymph node metastasis  Ultrasonography-guided spectroscopic photoacoustic imaging  
Consistent-Separable Feature Representation for Semantic Segmentation 会议论文
, online, 2021-2-2
作者:  He XJ(何兴建);  Liu J(刘静);  Fu J(付君);  Wang JQ(王金桥);  Lu HQ(卢汉清)
Adobe PDF(591Kb)  |  收藏  |  浏览/下载：188/38  |  提交时间：2022/06/24
Consistent-Separable Feature  Class-Aware Consistency loss  Semantic Segmentation  
基于关系建模的图像语义分割方法研究 学位论文
, 中国科学院大学人工智能学院: 中国科学院大学人工智能学院, 2022
作者:  何兴建
Adobe PDF(7064Kb)  |  收藏  |  浏览/下载：221/13  |  提交时间：2022/06/24
图像语义分割  关系建模  自注意力机制  稀疏采样  结构化约束  
A CNN-based compare network for classification of SSVEPs in human walking 会议论文
, Montreal, QC, Canada, 20-24 July 2020
作者:  Wu, Chenyao;  Qiu, Shuang;  Xing, Jiezhen;  He, Huiguang
Adobe PDF(351Kb)  |  收藏  |  浏览/下载：147/51  |  提交时间：2022/06/17
An Efficient Sampling-Based Attention Network for Semantic Segmentation 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:  He, Xingjian;  Liu, Jing;  Wang, Weining;  Lu, Hanqing
Adobe PDF(3252Kb)  |  收藏  |  浏览/下载：318/73  |  提交时间：2022/06/10
Stochastic processes  Sampling methods  Semantics  Image segmentation  Computational complexity  Pattern recognition  Convolution  Semantic segmentation  stochastic sampling-based attention  deterministic sampling-based attention  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：244/24  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)