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Journal of X-Ray Science and Technology|December 5, 2021
Use of small pulmonary vascular alterations to identify different types of pulmonary hypertension: a quantitative computed tomography analysisChengxiao Xu, Yue Zhang, Ning Zhang, et al.
Journal of X-Ray Science and Technology|December 5, 2021
UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patientsChomsin S Widodo, Agus Naba, Muhammad M Mahasin, et al.
Journal of X-Ray Science and Technology|March 12, 2019
Clinical application of diffusion-weighted magnetic resonance imaging in radiotherapy for nasopharyngeal carcinomaJifei Xu, Kun Zhang, Hongyan Wang, et al.
Journal of X-Ray Science and Technology|September 29, 2019
Correlation analysis of 18F-FDG PET/CT for the staging and treatment effect assessment of breast cancerYan Li, Yongliang Dai, Youmin Guo, et al.
Journal of X-Ray Science and Technology|July 30, 2019
Development of mobile intraoperative computed tomography imaging system and assessment of its performance in a brain and body phantom studyTae-Hoon Kim, Jong-Hyun Ryu, KilHwan Jeong, et al.
Journal of X-Ray Science and Technology|February 1, 2021
Predictive role of T2WI and ADC-derived texture parameters in differentiating Gleason score 3 + 4 and 4 + 3 prostate cancerZhen Kang, Anhui Xu, Liang Wang
Journal of X-Ray Science and Technology|January 18, 2021
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloaderÇağín Polat, Onur Karaman, Ceren Karaman, et al.
Journal of X-Ray Science and Technology|February 8, 2021
X- ray absorption parameters studies of P2O5- SnCl2-SnO bioactive glass systemAbdullah M S Alhuthali, Ashok Kumar, M I Sayyed, et al.
Journal of X-Ray Science and Technology|April 25, 2017
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technologyYuchen Qiu, Shiju Yan, Rohith Reddy Gundreddy, et al.
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