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Active learning based 3d semantic labeling from images and videos 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 32, 期号: 12, 页码: 8101-8115
作者:  Mengqi Rong;  Hainan Cui;  Zhanyi Hu;  Hanqing Jiang;  Hongmin Liu;  Shuhan Shen
Adobe PDF(6704Kb)  |  收藏  |  浏览/下载：132/42  |  提交时间：2023/09/25
Compact MR Magnet Design Methodology for Superconducting Animal MRI Scanner 期刊论文
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 卷号: 31, 期号: 2, 页码: 6
作者:  Hu, Geli;  Ni, Zhipeng;  Zhang, Baogui;  Jiang, Tianzi
收藏  |  浏览/下载：176/0  |  提交时间：2022/03/17
Actively shielding (AS)  animal magnetic resonance imaging (MRI)  electromagnetic stress  homogeneous superconducting magnet  hybrid numerical methodology  
Efficient Pairwise 3-D Registration of Urban Scenes via Hybrid Structural Descriptors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 17
作者:  Zhang, Long;  Guo, Jianwei;  Cheng, Zhanglin;  Xiao, Jun;  Zhang, Xiaopeng
收藏  |  浏览/下载：229/0  |  提交时间：2022/01/27
Three-dimensional displays  Shape  Feature extraction  Semantics  Robustness  Cloud computing  Virtual reality  Descriptor  hybrid structure  point cloud  registration  urban scene  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：273/47  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：371/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Parallel Point Clouds: Hybrid Point Cloud Generation and 3D Model Enhancement via Virtual-Real Integration 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 15, 页码: 17
作者:  Tian, Yonglin;  Wang, Xiao;  Shen, Yu;  Guo, Zhongzheng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：204/0  |  提交时间：2021/11/02
virtual LiDAR  hybrid point clouds  virtual-real interaction  3D detection  
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 7, 页码: 2353-2362
作者:  Wang, Siwen;  Dong, Di;  Li, Liang;  Li, Hailin;  Bai, Yan;  Hu, Yahua;  Huang, Yuanyi;  Yu, Xiangrong;  Liu, Sibin;  Qiu, Xiaoming;  Lu, Ligong;  Wang, Meiyun;  Zha, Yunfei;  Tian, Jie
Adobe PDF(3142Kb)  |  收藏  |  浏览/下载：260/55  |  提交时间：2021/11/02
COVID-19  deep learning  radiomics  prognosis  computed tomography  
Vectorized indoor surface reconstruction from 3D point cloud with multistep 2D optimization 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 177, 页码: 57-74
作者:  Han, Jiali;  Rong, Mengqi;  Jiang, Hanqing;  Liu, Hongmin;  Shen, Shuhan
Adobe PDF(13876Kb)  |  收藏  |  浏览/下载：388/62  |  提交时间：2021/08/15
Indoor reconstruction  Vectorized model  Multistep 2D optimization  LoD  Semantic segmentation  
Semi-/Weakly-Supervised Semantic Segmentation Method and Its Application for Coastal Aquaculture Areas Based on Multi-Source Remote Sensing Images-Taking the Fujian Coastal Area (Mainly Sanduo) as an Example 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 6, 页码: 21
作者:  Liang, Chenbin;  Cheng, Bo;  Xiao, Baihua;  He, Chenlinqiu;  Liu, Xunan;  Jia, Ning;  Chen, Jinfen
Adobe PDF(66625Kb)  |  收藏  |  浏览/下载：224/16  |  提交时间：2021/08/15
coastal aquaculture areas  semantic segmentation  semi-  weakly-supervised learning  GAN  conditional adversarial learning  
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：254/34  |  提交时间：2021/06/21
Retinal layers segmentation  Boundary detection  OCT  BAU-Net  Topology guarantee loss