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Robust and accurate depth estimation by fusing LiDAR and stereo 期刊论文
MEASUREMENT SCIENCE AND TECHNOLOGY, 2023, 卷号: 34, 期号: 12, 页码: 11
作者:  Xu, Guangyao;  Cao, Xuewei;  Liu, Jiaxin;  Fan, Junfeng;  Li, En;  Long, Xiaoyu
收藏  |  浏览/下载：75/0  |  提交时间：2023/11/17
stereo matching  LiDAR  depth estimation  multi-sensor fusion  up-sampling  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
A pixel-level deep segmentation network for automatic defect detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11
作者:  Yang, Lei;  Xu, Shuai;  Fan, Junfeng;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：240/0  |  提交时间：2023/02/22
Defect detection  Deep convolutional neural network  U-shape network  ConvLSTM network  
Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Chen, Minghao;  Tian, Yunong;  Li, Zhishuo;  Li, En;  Liang, Zize
收藏  |  浏览/下载：56/0  |  提交时间：2023/11/17
Shock absorbers  Vibrations  Object detection  Proposals  Training  Sampling methods  Convolutional neural networks  Instance balance  multiple instance learning (MIL)  progressive sampling  vibration damper detection  weakly supervised object detection (WSOD)  
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images 期刊论文
NEURAL NETWORKS, 2022, 卷号: 152, 页码: 394-406
作者:  Zhang, Liwen;  Zhong, Lianzhen;  Li, Cong;  Zhang, Wenjuan;  Hu, Chaoen;  Dong, Di;  Liu, Zaiyi;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：262/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural network  
Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images 期刊论文
JAMA NETWORK OPEN, 2022, 卷号: 5, 期号: 6, 页码: 11
作者:  Zhang, Liwen;  Dong, Di;  Sun, Yongqing;  Hu, Chaoen;  Sun, Congxin;  Wu, Qingqing;  Tian, Jie
收藏  |  浏览/下载：203/0  |  提交时间：2022/07/25
A nondestructive automatic defect detection method with pixelwise segmentation 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：161/0  |  提交时间：2022/06/10
Defect detection  Deep architecture  Image segmentation  Attention fusion  Residual dense connection convolution  network  
Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205
作者:  Yang, Lei;  Fan, Junfeng;  Xu, Shuai;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：189/0  |  提交时间：2022/07/25
Power transmission lines  Inspection  Feature extraction  Sensors  Image segmentation  Navigation  Vision sensors  Power line extraction  deep network architecture  image segmentation  multi-scale feature fusion  attention module  
Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6098-6107
作者:  Yang, Lei;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：193/0  |  提交时间：2022/06/10
Welding  Laser noise  Sensors  Robots  Laser modes  Feature extraction  Lasers  Deep network architecture  image denoising  seam tracking  robot welding  structured light vision  
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:  Yang, Lei;  Song, Shouan;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：172/0  |  提交时间：2022/06/06
Welding  Feature extraction  Image segmentation  Inspection  X-ray imaging  Manufacturing  Task analysis  Attention model  convolutional long short-term memory (ConvLSTM)  defect detection  feature fusion  hybrid loss  image segmentation