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Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 2413-2427
作者:  Xiao, Anqi;  Shen, Biluo;  Tian, Jie;  Hu, Zhenhua
收藏  |  浏览/下载:55/0  |  提交时间:2023/11/17
Task analysis  Training  Data models  Costs  Optimization  Search problems  Upper bound  Data augmentation  automated machine learning  differentiable optimization  random augmentation  
A review of the application of machine learning in molecular imaging 期刊论文
Annals of Translational Medicine, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yin, Lin;  Cao, Zhen;  Wang, Kun;  Tian, Jie;  Yang, Xing;  Zhang, Jianhua
Adobe PDF(4435Kb)  |  收藏  |  浏览/下载:179/34  |  提交时间:2021/06/16
molecular imaging, machine learning, artificial intelligence  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载:431/124  |  提交时间:2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 8
作者:  Wang, Yinyan;  Wei, Wei;  Liu, Zhenyu;  Liang, Yuchao;  Liu, Xing;  Li, Yiming;  Tang, Zhenchao;  Jiang, Tao;  Tian, Jie
收藏  |  浏览/下载:230/0  |  提交时间:2020/06/02
epilepsy type  low-grade gliomas  machine learning  radiomics  T2-weighted imaging  
Classification of Unmedicated Bipolar Disorder Using Whole-Brain Functional Activity and Connectivity: A Radiomics Analysis 期刊论文
CEREBRAL CORTEX, 2020, 卷号: 30, 期号: 3, 页码: 1117-1128
作者:  Wang, Ying;  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Jia, Yanbin;  Zhong, Shuming;  Pan, Jiyang;  Huang, Li;  Tian, Jie
收藏  |  浏览/下载:188/0  |  提交时间:2020/06/22
bipolar disorder  machine learning  radiomics  resting-state functional magnetic resonance imaging  
Research on an Urban Building Area Extraction Method with High-Resolution PolSAR Imaging Based on Adaptive Neighborhood Selection Neighborhoods for Preserving Embedding 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 卷号: 9, 期号: 2, 页码: 15
作者:  Cheng, Bo;  Cui, Shiai;  Ma, Xiaoxiao;  Liang, Chenbin
收藏  |  浏览/下载:156/0  |  提交时间:2020/06/02
PolSAR  machine learning  ANSNPE  SVM  
K-nearest Neighbor Based Locally Connected Network for Fast Morphological Reconstruction in Fluorescence Molecular Tomography 期刊论文
IEEE Transactions on Medical Imaging, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Meng, Hui;  Gao, Yuan;  Yang, Xin;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(4698Kb)  |  收藏  |  浏览/下载:277/72  |  提交时间:2020/04/29
Fluorescence Tomography  Machine Learning  Brain  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
作者:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  收藏  |  浏览/下载:325/55  |  提交时间:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Machine Learning-Assisted System for Thyroid Nodule Diagnosis 期刊论文
THYROID, 2019, 页码: 10
作者:  Zhang, Bin;  Tian, Jie;  Pei, Shufang;  Chen, Yubing;  He, Xin;  Dong, Yuhao;  Zhang, Lu;  Mo, Xiaokai;  Huang, Wenhui;  Cong, Shuzhen;  Zhang, Shuixing
收藏  |  浏览/下载:254/0  |  提交时间:2019/07/12
thyroid nodule  ultrasound  machine learning  random forest  diagnosis  
Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images 会议论文
, San Diego, USA, 2019.2.16-2019.2.21
作者:  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
浏览  |  Adobe PDF(1743Kb)  |  收藏  |  浏览/下载:224/59  |  提交时间:2020/04/29
Hepatocellular Carcinoma Classification  Metastasis  Microscopic Imaging  Machine Learning  Convolutional Neural Networks (Cnn)