N
Nan Yu
Researcher at Chengdu University of Traditional Chinese Medicine
Publications - 5
Citations - 40
Nan Yu is an academic researcher from Chengdu University of Traditional Chinese Medicine. The author has contributed to research in topics: Iterative reconstruction & Cell cycle checkpoint. The author has an hindex of 2, co-authored 5 publications receiving 31 citations.
Papers
More filters
Journal ArticleDOI
Assessment of noise reduction potential and image quality improvement of a new generation adaptive statistical iterative reconstruction (ASIR-V) in chest CT.
Hui Tang,Nan Yu,Yongjun Jia,Yong Yu,Haifeng Duan,Dong Han,Guangming Ma,Chenglong Ren,Taiping He,Taiping He +9 more
TL;DR: In routine dose, non-enhanced chest CT, ASIR-V shows greater potential in reducing image noise and artefacts and maintaining image sharpness when compared to the recommended level of 40%ASIR algorithm.
Journal ArticleDOI
The Value of 16-cm Wide-Detector Computed Tomography in Coronary Computed Tomography Angiography for Patients With High Heart Rate Variability.
Yuhuan Chen,Donghong Wei,Dou Li,Zhentang Liu,Zhijun Hu,Michelle Li,Yongjun Jia,Yong Yu,Dong Han,Ranzhi Ren,Nan Yu,Taiping He +11 more
TL;DR: Single-heartbeat free-breathing CCTA can be performed for patients with high HRv using 16-cm wide-detector CT scanner to achieve diagnostic image quality with low radiation dose.
Journal ArticleDOI
Effect of New Model-Based Iterative Reconstruction on Quantitative Analysis of Airway Tree by Computer-Aided Detection Software in Chest Computed Tomography.
TL;DR: Compared with ASIR, MBIRSTND, and MbiRRP20 from MBIrn algorithm potentially allow the desired airway quantification accuracy to be achieved on the performance of CAD, especially for MBIBRP20.
Journal ArticleDOI
The Role of Estrogen Receptors in Proliferation of Non-Small Cell Lung Cancer
TL;DR: The results showed that Erβ but not ERɑ can mediate E2 induced cell growth, since siRNA targeting Er β but not Erɑ gene can induce cell cycle arrest at G1 phase by down regulation of cyclinD1 expression, and also cell cycle regulators p21Waf1/Cip1 and p53 were involved in this signaling pathway.
Journal ArticleDOI
Computed Tomography Imaging Characteristics: Potential Indicators of Epidermal Growth Factor Receptor Mutation in Lung Adenocarcinoma.
TL;DR: In this paper, the authors investigated the correlation between computed tomography imaging characteristics in lung adnocarcinoma and epidermal growth factor receptor (EGFR) mutations, and calculated the predictive value of these imaging characteristics for EGFR mutation using the area under the receiver operating characteristic curve.