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PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/17
Convolution  Search problems  Optimization  Computer architecture  Object detection  Molecular imaging  Visualization  Multiscale  neural architecture search (NAS)  plug-and-play  representation learning  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：335/50  |  提交时间：2023/03/20
Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581
作者:  Xiao, Anqi;  Shen, Biluo;  Shi, Xiaojing;  Zhang, Zhe;  Zhang, Zeyu;  Tian, Jie;  Ji, Nan;  Hu, Zhenhua
收藏  |  浏览/下载：223/0  |  提交时间：2022/11/14
Imaging  Computer architecture  Fluorescence  Feature extraction  Surgery  Biomedical imaging  Medical diagnostic imaging  Deep learning  glioma grading  intraoperative imaging  multi-modal imaging  neural architecture search  NIR-II fluorescence imaging  
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network 会议论文
, Montreal, BC, Canada, 11-17 October 2021
作者:  Shen, Biluo;  Xiao, Anqi;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(235Kb)  |  收藏  |  浏览/下载：189/35  |  提交时间：2022/06/15
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：391/85  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
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  
Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 卷号: 48, 期号: 11, 页码: 3482-3492
作者:  Shen, Biluo;  Zhang, Zhe;  Shi, Xiaojing;  Cao, Caiguang;  Zhang, Zeyu;  Hu, Zhenhua;  Ji, Nan;  Tian, Jie
Adobe PDF(1209Kb)  |  收藏  |  浏览/下载：364/70  |  提交时间：2021/05/17
Fluorescence imaging  Deep learning  Convolutional neural networks  Intraoperative pathology  Gliomas  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：329/55  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载：392/74  |  提交时间：2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Source sparsity based primal-dual interior-point method for three-dimensional bioluminescence tomography 期刊论文
OPTICS COMMUNICATIONS, 2011, 卷号: 284, 期号: 24, 页码: 5871-5876
作者:  Zhang, Qitan;  Zhao, Heng;  Chen, Duofang;  Qu, Xiaochao;  Chen, Xueli;  He, Xiaowei;  Li, Wei;  Hu, Zhenhua;  Liu, Junting;  Liang, Jimin;  Tian, Jie;  J. Liang
浏览  |  Adobe PDF(856Kb)  |  收藏  |  浏览/下载：304/85  |  提交时间：2015/08/12
Bioluminescence Tomography  Inverse Problem  Primal-dual Interior-point Method