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A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring 期刊论文
FRONTIERS IN MEDICINE, 2023, 卷号: 10, 页码: 9
作者:  Hu, Xiao-Yan;  Li, Yu-Jie;  Shu, Xin;  Song, Ai-Lin;  Liang, Hao;  Sun, Yi-Zhu;  Wu, Xian-Feng;  Li, Yong-Shuai;  Tan, Li-Fang;  Yang, Zhi-Yong;  Yang, Chun-Yong;  Xu, Lin-Quan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25
continuous hemoglobin monitoring  deep learning  semantic segmentation  mask R-CNN  MobileNetV3  
Two-stage hemoglobin prediction based on prior causality 期刊论文
FRONTIERS IN PUBLIC HEALTH, 2022, 卷号: 10, 页码: 12
作者:  Chen, Yuwen;  Zhong, Kunhua;  Zhu, Yiziting;  Sun, Qilong
收藏  |  浏览/下载：28/0  |  提交时间：2023/02/07
non-invasive  prediction  causal knowledge  hemoglobin  segmentation  
Convolutional-de-convolutional neural networks for recognition of surgical workflow 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2022, 卷号: 16, 页码: 10
作者:  Chen, Yu-wen;  Zhang, Ju;  Wang, Peng;  Hu, Zheng-yu;  Zhong, Kun-hua
收藏  |  浏览/下载：45/0  |  提交时间：2022/12/26
neural networks  convolutional-de-convolutional  transfer learning  surgical workflow  deep learning  
Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network 期刊论文
BMC ANESTHESIOLOGY, 2022, 卷号: 22, 期号: 1, 页码: 11
作者:  Chen, Yu-wen;  Li, Yu-jie;  Deng, Peng;  Yang, Zhi-yong;  Zhong, Kun-hua;  Zhang, Li-ge;  Chen, Yang;  Zhi, Hong-yu;  Hu, Xiao-yan;  Gu, Jian-teng;  Ning, Jiao-lin;  Lu, Kai-zhi;  Zhang, Ju;  Xia, Zheng-yuan;  Qin, Xiao-lin;  Yi, Bin
收藏  |  浏览/下载：53/0  |  提交时间：2022/08/22
In-hospital mortality risk  ICU  Temporal Convolution Network  Attention Mechanism  Time series  Artificial Intelligence  
Multi-Structure KELM With Attention Fusion Strategy for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:  Sun, Le;  Fang, Yu;  Chen, Yuwen;  Huang, Wei;  Wu, Zebin;  Jeon, Byeungwoo
收藏  |  浏览/下载：45/0  |  提交时间：2022/12/26
Feature extraction  Training  Deep learning  Kernel  Hyperspectral imaging  Electronic mail  Extreme learning machines  Attention mechanisms  hyperspectral image (HSI) classification  kernel extreme learning machine (KELM)  multifeature  multiscale (MS)  
A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 19, 页码: 14
作者:  Li, Yu-Jie;  Zhang, Li-Ge;  Zhi, Hong-Yu;  Zhong, Kun-Hua;  He, Wen-Quan;  Chen, Yang;  Yang, Zhi-Yong;  Chen, Lin;  Bai, Xue-Hong;  Qin, Xiao-Lin;  Li, Dan-Feng;  Wang, Dan-Dan;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载：115/0  |  提交时间：2021/02/24
Intra-operative blood loss  intra-operative haemoglobin loss  densely connected convolutional networks  feature extraction technology  
Semi-supervised spatio-temporal CNN for recognition of surgical workflow 期刊论文
EURASIP Journal on Image and Video Processing, 2018, 卷号: 2018, 期号: 1
作者:  Chen,Yuwen;  Sun,Qi Long;  Zhong,Kunhua
Adobe PDF(2573Kb)  |  收藏  |  浏览/下载：154/0  |  提交时间：2019/01/17
Semi-supervised  Surgical workflow  CNN  
Human Activity Recognition Using Smartphone Sensor Data Via Deep Neural Networks 会议论文
2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING APPLICATIONS (CSEA 2015), Sanya, PEOPLES R CHINA, DEC 26-27, 2015
作者:  Chen, Yuwen;  Zhong, Kunhua
收藏  |  浏览/下载：92/0  |  提交时间：2018/03/15