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Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文
CANCER, 2022, 页码: 11
Authors:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu;  He, Chang;  Wang, Jing;  Wang, Baohua;  Yang, Xin;  Wang, Kun;  Tian, Jie;  Jiang, Tian'an
Favorite  |  View/Download:110/0  |  Submit date:2023/03/20
breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography  
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment 期刊论文
ADVANCED SCIENCE, 2022, 页码: 13
Authors:  Zhao, Kun;  Zheng, Qiang;  Dyrba, Martin;  Rittman, Timothy;  Li, Ang;  Che, Tongtong;  Chen, Pindong;  Sun, Yuqing;  Kang, Xiaopeng;  Li, Qiongling;  Liu, Bing;  Liu, Yong;  Li, Shuyu
Favorite  |  View/Download:275/0  |  Submit date:2022/03/17
mild cognitive impairment  progression  regional radiomics similarity network  subtypes  
Quantitative Radiomic Features as New Biomarkers for Alzheimer's Disease: An Amyloid PET Study 期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 8, 页码: 3950-3961
Authors:  Ding, Yanhui;  Zhao, Kun;  Che, Tongtong;  Du, Kai;  Sun, Hongzan;  Liu, Shu;  Zheng, Yuanjie;  Li, Shuyu;  Liu, Bing;  Liu, Yong
Favorite  |  View/Download:245/0  |  Submit date:2021/11/02
Alzheimer's disease  biomarker  machine learning  prediction  quantitative radiomic features