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International Journal of Imaging Systems and Technology|July 5, 2021
Longitudinal evaluation for COVID-19 chest CT disease progression based on Tchebichef momentsLu Tang, Chuangeng Tian, Yankai Meng, et al.International Journal of Imaging Systems and Technology|July 5, 2021
Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasetsYongwon Cho, Sung Ho Hwang, Yu-Whan Oh, et al.International Journal of Imaging Systems and Technology|July 6, 2021
COVSeg-NET: A deep convolution neural network for COVID-19 lung CT image segmentationXiaoQing Zhang, GuangYu Wang, Shu-Guang ZhaoInternational Journal of Imaging Systems and Technology|August 26, 2024
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3TJingpu Wu, Qianqi Huang, Yiqing Shen, et al.International Journal of Imaging Systems and Technology|March 20, 2024
Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomicsJingyu Zhu, Jianming Ye, Leshui Dong, et al.International Journal of Imaging Systems and Technology|May 30, 2015
A Study of Long-Term fMRI Reproducibility Using Data-Driven Analysis MethodsXiaomu Song, Lawrence P Panych, Ying-Hui Chou, et al.International Journal of Imaging Systems and Technology|June 16, 2009
Independent Vector Analysis (IVA) for Group fMRI Processing of Subcortical AreaJong-Hwan Lee, Te-Won Lee, Ferenc A Jolesz, et al.International Journal of Imaging Systems and Technology|June 16, 2009
Neurofeedback fMRI-mediated learning and consolidation of regional brain activation during motor imagerySeung-Schik Yoo, Jong-Hwan Lee, Heather O'Leary, et al.International Journal of Imaging Systems and Technology|December 19, 2014
Non-Iterative Reconstruction with a Prior for Undersampled Radial MRI DataGengsheng L Zeng, Ya Li, Edward V R DiBellaInternational Journal of Imaging Systems and Technology|December 28, 2020
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanismTongxue Zhou, Stéphane Canu, Su RuanPageof 7