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基于多阶运动参量的四旋翼无人机识别方法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 6, 页码: 1429-1447
作者:  刘孙相与;  李贵涛;  詹亚锋;  高鹏
Adobe PDF(9889Kb)  |  收藏  |  浏览/下载：6/3  |  提交时间：2024/05/20
四旋翼无人机  目标识别  运动特征  融合方法  
基于蠕虫传播和FDI的电力信息物理协同攻击策略 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 10, 页码: 2429-2441
作者:  冯晓萌;  孙秋野;  王冰玉;  高嘉文
Adobe PDF(1941Kb)  |  收藏  |  浏览/下载：21/7  |  提交时间：2024/05/20
SIR蠕虫模型  虚假数据注入  信息物理联合仿真  电力系统状态估计  Q学习  
A Fast Radio Burst Backend for the Tianlai Dish Pathfinder Array 期刊论文
Research in Astronomy and Astrophysics, 2022, 卷号: 22, 期号: 12
作者:  Yu,Zijie;  Deng,Furen;  Sun,Shijie;  Niu,Chenhui;  Li,Jixia;  Wu,Fengquan;  Wang,Wei-Yang;  Wang,Yougang;  Feng,Hui;  Shu,Lin;  Hao,Jie;  Ansari,Reza;  Stebbins,Albert;  Chen,Xuelei
收藏  |  浏览/下载：149/0  |  提交时间：2023/05/31
instrumentation: miscellaneous  techniques: interferometric  telescopes  radio continuum: general  (stars:) pulsars: general  
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
作者:  She, Yunlang;  He, Bingxi;  Wang, Fang;  Zhong, Yifan;  Wang, Tingting;  Liu, Zhenchuan;  Yang, Minglei;  Yu, Bentong;  Deng, Jiajun;  Sun, Xiwen;  Wu, Chunyan;  Hou, Likun;  Zhu, Yuming;  Yang, Yang;  Hu, Hongjie;  Dong, Di;  Chen, Chang;  Tian, Jie
收藏  |  浏览/下载：223/0  |  提交时间：2023/02/22
Deep learning  Neoadjuvant chemoimmunotherapy  Major pathological response  Non-small cell lung cancer  
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：268/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
A Parallel Teacher for Synthetic-to-Real Domain Adaptation of Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 441-455
作者:  Wang, Jiangong;  Shen, Tianyu;  Tian, Yonglin;  Wang, Yutong;  Gou, Chao;  Wang, Xiao;  Yao, Fei;  Sun, Changyin
Adobe PDF(2602Kb)  |  收藏  |  浏览/下载：300/70  |  提交时间：2022/11/28
Object detection  Feature extraction  Data models  Training  Knowledge engineering  Detectors  Computational modeling  Computer vision  Unsupervised Domain Adaptation  Teacher-student learning  Traffic object detection  
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 150, 页码: 10
作者:  Shao, Lizhi;  Liu, Zhenyu;  Liu, Jiangang;  Yan, Ye;  Sun, Kai;  Liu, Xiangyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：229/0  |  提交时间：2022/11/21
mp-MRI  Prostate cancer  Grade group  Patient-level prediction  Deep learning  
Context Aware Convolutional Neural Network for Children Caries Diagnosis on Dental Panoramic Radiographs 期刊论文
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2022, 卷号: 2022, 页码: 8
作者:  Zhou, Xiaojie;  Yu, Guoxia;  Yin, Qiyue;  Liu, Yan;  Zhang, Zhiling;  Sun, Jie
收藏  |  浏览/下载：166/0  |  提交时间：2022/11/14
Aberrant brain dynamics and spectral power in children with ADHD and its subtypes 期刊论文
EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2022, 页码: 12
作者:  Luo, Na;  Luo, Xiangsheng;  Zheng, Suli;  Yao, Dongren;  Zhao, Min;  Cui, Yue;  Zhu, Yu;  Calhoun, Vince D.;  Sun, Li;  Sui, Jing
Adobe PDF(1594Kb)  |  收藏  |  浏览/下载：266/6  |  提交时间：2022/09/19
ADHD  Subtypes  EEG  Microstate dynamics  Spectral power  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：433/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis