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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：83/0  |  提交时间：2023/11/17
stereo matching  LiDAR  depth estimation  multi-sensor fusion  up-sampling  
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：75/0  |  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)  
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：132/0  |  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：265/0  |  提交时间：2023/02/22
Defect detection  Deep convolutional neural network  U-shape network  ConvLSTM network  
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：293/0  |  提交时间：2022/07/25
Overall survival  Deep learning  Computed tomography (CT)  Neural 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：215/0  |  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  
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：222/0  |  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：176/0  |  提交时间：2022/06/10
Defect detection  Deep architecture  Image segmentation  Attention fusion  Residual dense connection convolution  network  
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：205/0  |  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：185/0  |  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