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AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer Journal article
Lv, Tianxu, Hong, Xiaoyan, Liu, Yuan, Miao, Kai, Sun, Heng, Li, Lihua, Deng, Chuxia, Jiang, Chunjuan, Pan, Xiang. AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast cancer[J]. Computer Methods and Programs in Biomedicine, 2024, 243, 107857.
Authors:  Lv, Tianxu;  Hong, Xiaoyan;  Liu, Yuan;  Miao, Kai;  Sun, Heng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.9/5.5 | Submit date：2024/02/22
Breast Cancer  Deep Learning  Interpretable Imaging Phenotypes  Intra-tumor Heterogeneity  Tumor Microenvironment  
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI Conference paper
Lv, Tianxu, Liu, Yuan, Miao, Kai, Li, Lihua, Pan, Xiang. Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2023, 100-109.
Authors:  Lv, Tianxu;  Liu, Yuan;  Miao, Kai;  Li, Lihua;  Pan, Xiang
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2024/02/22
Cancer Segmentation  Dce-mri  Deep Learning  Denoising Diffusion Model  Kinetic Representation  
MEAI: an artificial intelligence platform for predicting distant and lymph node metastases directly from primary breast cancer Journal article
Fan,Jiansong, Zhang,Lei, Lv,Tianxu, Liu,Yuan, Sun,Heng, Miao,Kai, Jiang,Chunjuan, Li,Lihua, Pan,Xiang. MEAI: an artificial intelligence platform for predicting distant and lymph node metastases directly from primary breast cancer[J]. Journal of Cancer Research and Clinical Oncology, 2023, 149(11), 9229-9241.
Authors:  Fan,Jiansong;  Zhang,Lei;  Lv,Tianxu;  Liu,Yuan;  Sun,Heng; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:2.7/3.1 | Submit date：2023/08/03
Ancillary Diagnosis  Artificial Intelligence  Digital Pathology  Lymph Node And Distant Metastasis  Primary Breast Cancer  
Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray Journal article
Wang, Yihang, Jiang, Chunjuan, Wu, Youqing, Lv, Tianxu, Sun, Heng, Liu, Yuan, Li, Lihua, Pan, Xiang. Semantic-Powered Explainable Model-Free Few-Shot Learning Scheme of Diagnosing COVID-19 on Chest X-Ray[J]. IEEE Journal of Biomedical and Health Informatics, 2022, 26(12), 5870-5882.
Authors:  Wang, Yihang;  Jiang, Chunjuan;  Wu, Youqing;  Lv, Tianxu;  Sun, Heng; et al.
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:6.7/7.1 | Submit date：2023/01/30
Chest X-ray  Covid-19  ExplAinable Ai  Few-shot Learning  Semantic-powered  
A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI Journal article
Lv, Tianxu, Wu, Youqing, Wang, Yihang, Liu, Yuan, Li, Lihua, Deng, Chuxia, Pan, Xiang. A hybrid hemodynamic knowledge-powered and feature reconstruction-guided scheme for breast cancer segmentation based on DCE-MRI[J]. Medical Image Analysis, 2022, 82, 102572.
Authors:  Lv, Tianxu;  Wu, Youqing;  Wang, Yihang;  Liu, Yuan;  Li, Lihua; et al.
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:10.7/11.9 | Submit date：2022/12/01
Breast Cancer Segmentation  Dce-mri  Feature Reconstruction  Hemodynamic Knowledge