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Deep learning-based multi-frequency denoising for myocardial perfusion SPECT Journal article
Du, Yu, Sun, Jingzhang, Li, Chien Ying, Yang, Bang Hung, Wu, Tung Hsin, Mok, Greta S.P.. Deep learning-based multi-frequency denoising for myocardial perfusion SPECT[J]. EJNMMI Physics, 2024, 11(1), 80.
Authors:  Du, Yu;  Sun, Jingzhang;  Li, Chien Ying;  Yang, Bang Hung;  Wu, Tung Hsin; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/3.7 | Submit date：2024/11/05
Deep Learning  Myocardial Perfusion Spect  Generative Adversarial Network  Denoising  
Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multi-frequency generators Conference paper
Yu Du, Jingzhang Sun, Chien-Ying Li, Bang-Hung Yang, Tung-Hsin Wu, MOK SENG PENG. Myocardial perfusion SPECT denoising using an attention-guided generative adversarial network with integrated multi-frequency generators[C], 2024.
Authors:  Yu Du;  Jingzhang Sun;  Chien-Ying Li;  Bang-Hung Yang;  Tung-Hsin Wu; et al.
Favorite |  | Submit date：2024/08/12
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  
Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network Journal article
Sun, Jingzhang, Yang, Bang Hung, Li, Chien Ying, Du, Yu, Liu, Yi Hwa, Wu, Tung Hsin, Mok, Greta S.P.. Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network[J]. Frontiers in Medicine, 2023, 10, 1083413.
Authors:  Sun, Jingzhang;  Yang, Bang Hung;  Li, Chien Ying;  Du, Yu;  Liu, Yi Hwa; et al.
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:3.1/3.4 | Submit date：2023/03/06
Attention-guided  Deep Learning  Denoising  Fast Spect  Myocardial Perfusion  
Integrating 18F-FDG PET/CT with lung dose-volume for assessing lung inflammatory changes after arc-based radiotherapy for esophageal cancer: A pilot study Journal article
Hsu, Chen Xiong, Lin, Kuan Heng, Shueng, Pei Wei, Wu, Yen Wen, Tsai, Wei Ta, Chang, Chiu Han, Tien, Hui Ju, Wang, Shan Ying, Wu, Tung Hsin, Mok, Greta S.P.. Integrating 18F-FDG PET/CT with lung dose-volume for assessing lung inflammatory changes after arc-based radiotherapy for esophageal cancer: A pilot study[J]. Thoracic Cancer, 2022, 13(22), 3114-3123.
Authors:  Hsu, Chen Xiong;  Lin, Kuan Heng;  Shueng, Pei Wei;  Wu, Yen Wen;  Tsai, Wei Ta; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:2.3/2.8 | Submit date：2022/12/01
Esophageal Cancer  Lung Dose  Lung Inflammatory  Pet/ct  
Deep Learning-based Denoising in Projection-domain and Reconstruction-domain for Low Dose Myocardial Perfusion SPECT Journal article
Jingzhang Sun, Han Jiang, Yu Du, Chien-Ying Li, Tung-Hsin Wu, Yi-Hwa Liu, Bang-Hung Yang, Greta S. P. Mok. Deep Learning-based Denoising in Projection-domain and Reconstruction-domain for Low Dose Myocardial Perfusion SPECT[J]. JOURNAL OF NUCLEAR CARDIOLOGY, 2022, 30(3), 970-985.
Authors:  Jingzhang Sun;  Han Jiang;  Yu Du;  Chien-Ying Li;  Tung-Hsin Wu; et al.
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:3.0/2.9 | Submit date：2022/08/22
Deep Learning  Low Dose  Myocardial Perfusion Spect  Projection  Reconstruction  
Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising Journal article
Sun, Jingzhang, Du, Yu, Li, Chien Ying, Wu, Tung Hsin, Yang, Bang Hung, Mok, Greta S.P.. Pix2Pix generative adversarial network for low dose myocardial perfusion SPECT denoising[J]. Quantitative Imaging in Medicine and Surgery, 2022, 12(7), 3539-3555.
Authors:  Sun, Jingzhang;  Du, Yu;  Li, Chien Ying;  Wu, Tung Hsin;  Yang, Bang Hung; et al.
Favorite | TC[WOS]:23 TC[Scopus]:27  IF:2.9/3.2 | Submit date：2022/08/02
Denoising  Generative Adversarial Network  Low Dose  Myocardial Perfusion (Mp) Spect  Pix2pix  
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  
Planning evaluation of a novel volume-based algorithm for personalized optimization of lung dose in VMAT for esophageal cancer Journal article
Hsu, Chen Xiong, Lin, Kuan Heng, Wang, Shan Ying, Tsai, Wei Ta, Chang, Chiu Han, Tien, Hui Ju, Shueng, Pei Wei, Wu, Tung Hsin, Mok, Greta S.P.. Planning evaluation of a novel volume-based algorithm for personalized optimization of lung dose in VMAT for esophageal cancer[J]. Scientific Reports, 2022, 12(1), 2513.
Authors:  Hsu, Chen Xiong;  Lin, Kuan Heng;  Wang, Shan Ying;  Tsai, Wei Ta;  Chang, Chiu Han; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.8/4.3 | Submit date：2022/05/13
Evaluation of different CT maps for attenuation correction and segmentation in static 99mTc-MAA SPECT/CT for 90Y radioembolization treatment planning: A simulation study Journal article
Lu, Zhonglin, Chen, Gefei, Lin, Kuan Heng, Wu, Tung Hsin, Mok, Greta S.P.. Evaluation of different CT maps for attenuation correction and segmentation in static 99mTc-MAA SPECT/CT for 90Y radioembolization treatment planning: A simulation study[J]. Medical Physics, 2021, 48(7), 3842-3851.
Authors:  Lu, Zhonglin;  Chen, Gefei;  Lin, Kuan Heng;  Wu, Tung Hsin;  Mok, Greta S.P.
Favorite | TC[WOS]:10 TC[Scopus]:10  IF:3.2/3.9 | Submit date：2021/12/08
99mtc-macroaggregated Albumin  Attenuation Correction  Respiratory Motion  Segmentation  Spect/ct