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Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT Journal article
Jiang, Han, Du, Yu, Lu, Zhonglin, Wang, Bingjie, Zhao, Yonghua, Wang, Ruibing, Zhang, Hong, Mok, Greta S.P.. Radiomics incorporating deep features for predicting Parkinson’s disease in 123I-Ioflupane SPECT[J]. EJNMMI Physics, 2024, 11(1), 60.
Authors:  Jiang, Han;  Du, Yu;  Lu, Zhonglin;  Wang, Bingjie;  Zhao, Yonghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.7 | Submit date：2024/08/05
123i-ioflupane  Deep Feature  Deep Learning  Parkinson’s Disease  Radiomics  Spect  
Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors Journal article
Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou, Shih-Chieh Huang, Jing-Zhe Wang, Pei-Hsuan Lu, Dao-Chen Lin, Chun-Sheng Yen, Ju-Ping Teng, Greta S. P. Mok, Cheng-Ting Shih, Tung-Hsin Wu. Machine learning combined with radiomics and deep learning features extracted from CT images: a novel AI model to distinguish benign from malignant ovarian tumors[J]. Insights into Imaging, 2023, 14(1).
Authors:  Ya-Ting Jan;  Pei-Shan Tsai;  Wen-Hui Huang;  Ling-Ying Chou;  Shih-Chieh Huang; et al.
Favorite | TC[WOS]:19 TC[Scopus]:21  IF:4.1/5.9 | Submit date：2023/08/03
Computed Tomography  Deep Learning  Machine Learning  Ovarian Tumor  Radiomics  
Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview Journal article
Wong, Pak Kin, Chan, In Neng, Yan, Hao-Ming, Gao, Shan, Wong, Chi Hong, Yan, Tao, Yao, Liang, Hu,Ying, Wang, Zhong-Ren, Yu, Hon Ho. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview[J]. WORLD JOURNAL OF GASTROENTEROLOGY, 2022, 28(45), 6363-6379.
Authors:  Wong, Pak Kin;  Chan, In Neng;  Yan, Hao-Ming;  Gao, Shan;  Wong, Chi Hong; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:4.3/5.1 | Submit date：2023/01/30
Radiomics  Deep Learning  Gastrointestinal Cancer  Medical Imaging  
Evaluation of Preoperative Microvascular Invasion in Hepatocellular Carcinoma Through Multidimensional Parameter Combination Modeling Based on Gd-EOB-DTPA MRI Journal article
Zhang, Han Dan, Li, Xiao Ming, Zhang, Yu Han, Hu, Fang, Tan, Liang, Wang, Fang, Jing, Yang, Guo, Da Jing, Xu, Yang, Hu, Xian Ling, Liu, Chen, Wang, Jian. Evaluation of Preoperative Microvascular Invasion in Hepatocellular Carcinoma Through Multidimensional Parameter Combination Modeling Based on Gd-EOB-DTPA MRI[J]. Journal of Clinical and Translational Hepatology, 2022, 11(2), 350-359.
Authors:  Zhang, Han Dan;  Li, Xiao Ming;  Zhang, Yu Han;  Hu, Fang;  Tan, Liang; et al.
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:3.1/3.7 | Submit date：2023/02/28
Hepatocellular Carcinoma  Microvascular Invasion  Radiomics  Gd-eob-dtpa  
Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine Learning Journal article
Li, Xiaoming, Cheng, Lin, Li, Chuanming, Hu, Xianling, Hu, Xiaofei, Tan, Liang, Li, Qing, Liu, Chen, Wang, Jian. Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine Learning[J]. Journal of Clinical and Translational Hepatology, 2022, 10(1), 63-71.
Authors:  Li, Xiaoming;  Cheng, Lin;  Li, Chuanming;  Hu, Xianling;  Hu, Xiaofei; et al.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:3.1/3.7 | Submit date：2022/05/17
Gene-expression  Hepatocellular Carcinoma  Mri  Radiomics Fea-ture