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Deep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors Journal article
Peng, Zhengyu, Zhang, Fanwei, Jiang, Han, Liu, Guichao, Sun, Jingzhang, Du, Yu, Lu, Zhonglin, Wang, Ying, Mok, Greta S.P.. Deep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors[J]. Quantitative Imaging in Medicine and Surgery, 2024, 14(12), 8140-8154.
Authors:  Peng, Zhengyu;  Zhang, Fanwei;  Jiang, Han;  Liu, Guichao;  Sun, Jingzhang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/3.2 | Submit date：2024/12/26
Conditional Generative Adversarial Network  Deep Learning (Dl)  Denoising  Positron Emission Tomography/computed Tomography (Pet/ct)  U-net  
A 160MHz-BW 68dB-SNDR 30.8mW Continuous-Time Pipeline DSM with Correlative Passive Low-Pass Filters and DAC Image Pre-Filtering Conference paper
Li, Ke, Congzhou, Xianyu, Qi, Liang, Guo, Mingqiang, Martins, Rui P., Sin, Sai Weng. A 160MHz-BW 68dB-SNDR 30.8mW Continuous-Time Pipeline DSM with Correlative Passive Low-Pass Filters and DAC Image Pre-Filtering[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 28-5.
Authors:  Li, Ke;  Congzhou, Xianyu;  Qi, Liang;  Guo, Mingqiang;  Martins, Rui P.; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2024/06/05
Wireless Communication  Computed Tomography  Pipelines  Capacitors  Low-pass Filters  Linearity  Lattices  
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]:22 TC[Scopus]:26  IF:4.1/5.9 | Submit date：2023/08/03
Computed Tomography  Deep Learning  Machine Learning  Ovarian Tumor  Radiomics  
Total variation regularized expectation maximization reconstruction improves 68Ga-FAPI-04 PET/CT image quality as compared to ordered subset expectation maximization reconstruction Journal article
Hanxiang LIU, Lin LIU, Shijie XU, Zhonglin LU, Mo SP(莫昇萍), Yingwei WANG, Yi TAO, Yue CHEN. Total variation regularized expectation maximization reconstruction improves 68Ga-FAPI-04 PET/CT image quality as compared to ordered subset expectation maximization reconstruction[J]. Quarterly Journal of Nuclear Medicine and Molecular Imaging, 2023, 67(4), 280 - 286.
Authors:  Hanxiang LIU;  Lin LIU;  Shijie XU;  Zhonglin LU;  Mo SP(莫昇萍); et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.3/1.3 | Submit date：2022/09/28
Image Processing, Computer-assisted  Positron Emission Tomography Computed Tomography  68ga-fapi  
Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer Journal article
Pan, Xiang, Cong, He, Wang, Xiaolei, Zhang, Heng, Ge, Yuxi, Hu, Shudong. Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer[J]. Acta Radiologica, 2023, 64(5), 1783-1791.
Authors:  Pan, Xiang;  Cong, He;  Wang, Xiaolei;  Zhang, Heng;  Ge, Yuxi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.1/1.4 | Submit date：2023/06/05
Colorectal Cancer  Computed Tomography  Deep Learning  Overall Survival  Self-learning High-throughput Features  
Multiplanar Data Augmentation and Lightweight Skip Connection Design for Deep-Learning-Based Abdominal CT Image Segmentation Journal article
Zhang, Wenyuan, Zhang, Yu, Zhang, Liming. Multiplanar Data Augmentation and Lightweight Skip Connection Design for Deep-Learning-Based Abdominal CT Image Segmentation[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72, 2532111.
Authors:  Zhang, Wenyuan;  Zhang, Yu;  Zhang, Liming
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:5.6/5.6 | Submit date：2024/02/22
Computed Tomography (Ct) Image Data Augmentation  Deep Learning  Medical Image Segmentation  Skip Connection  
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution Journal article
Li,Wenjie, Li,Juncheng, Gao,Guangwei, Deng,Weihong, Zhou,Jiantao, Yang,Jian, Qi,Guo Jun. Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution[J]. IEEE Transactions on Multimedia, 2023, 26, 864-877.
Authors:  Li,Wenjie;  Li,Juncheng;  Gao,Guangwei;  Deng,Weihong;  Zhou,Jiantao; et al.
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:8.4/8.0 | Submit date：2023/08/03
Adaptation Models  Computational Modeling  Computed Tomography  Contextual Information  Convolution  Cross-receptive  Efficient Model  Feature Extraction  Sisr  Task Analysis  Transformers  
Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma Journal article
Wu, Zongqian, Lu, Hong, Xie, Qiao, Cheng, Jie, Ma, Kuansheng, Hu, Xiaofei, Tan, Liang, Zhang, Huarong, Liu, Chen, Li, Xiaoming, Cai, Ping. Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma[J]. Journal of Clinical and Translational Hepatology, 2022, 10(2), 184-189.
Authors:  Wu, Zongqian;  Lu, Hong;  Xie, Qiao;  Cheng, Jie;  Ma, Kuansheng; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.1/3.7 | Submit date：2022/05/17
Computed Tomography  Hepatocellular Carcinoma  Subcutaneous Adipose Tissue  Visceral Adipose Tissue  
Image restoration of motion artifacts in cardiac arteries and vessels based on a generative adversarial network Journal article
Deng, Fuquan, Wan, Qian, Zeng, Yingting, Shi, Yanbin, Wu, Huiying, Wu, Yu, Xu, Weifeng, Mok, Greta S.P., Zhang, Xiaochun, Hu, Zhanli. Image restoration of motion artifacts in cardiac arteries and vessels based on a generative adversarial network[J]. Quantitative Imaging in Medicine and Surgery, 2022, 12(5), 2755-2766.
Authors:  Deng, Fuquan;  Wan, Qian;  Zeng, Yingting;  Shi, Yanbin;  Wu, Huiying; et al.
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:2.9/3.2 | Submit date：2022/05/13
Coronary Computed Tomography Angiography (Ccta)  Cycle Generative Adversarial Network  Motion Artifact  
Insights on Distinct Left Atrial Remodeling Between Atrial Fibrillation and Heart Failure With Preserved Ejection Fraction Journal article
Jen-Yuan Kuo, Xuanyi Jin, Jing-Yi Sun, Sheng-Hsiung Chang, Po-Ching Chi, Kuo-Tzu Sung, Mo SP(莫昇萍), Chun-Ho Yun, Shun-Chuan Chang, Fa-Po Chung, Ching-Hsiang Yu, Tung-Hsin Wu, Chung-Lieh Hung, Hung-I Yeh, Carolyn S P Lam. Insights on Distinct Left Atrial Remodeling Between Atrial Fibrillation and Heart Failure With Preserved Ejection Fraction[J]. Frontiers in Cardiovascular Medicine, 2022, 9, 857360.
Authors:  Jen-Yuan Kuo;  Xuanyi Jin;  Jing-Yi Sun;  Sheng-Hsiung Chang;  Po-Ching Chi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.8/3.1 | Submit date：2022/08/17
Atrial Fibrillation  Heart Failure With Preserved Ejection Fraction  Strain  Multi-detector Computed Tomography  Left Atrial Remodeling  Left Atrial Wall