Yajun Li

发表

CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study

L. Schwartz, Binsheng Zhao, Lin Lu, 2018, Scientific Reports.

Relationships Between Memory Impairments and Hippocampal Structure in Patients With Subcortical Ischemic Vascular Disease

Wei Yan, Yajun Li, Miao He, 2022, Frontiers in Aging Neuroscience.

Correlation between CT Perfusion Parameters and Microvessel Density and Vascular Endothelial Growth Factor in Adrenal Tumors

Yajun Li, R. Bai, Haoran Sun, 2013, PloS one.

Longitudinal evaluation of split renal function by dynamic contrast-enhanced MR renography in unilateral ureteral obstruction rat models

Leening P. Liu, Haoran Sun, Huiru Jia, 2021, Chinese Journal of Academic Radiology.

Imaging characteristics of cerebral sparganosis with live worms.

Jun Liu, Haiyan Liao, Bing Zhou, 2016, Journal of neuroradiology. Journal de neuroradiologie.

Dual-energy CT-based radiomics nomogram in predicting histological differentiation of head and neck squamous carcinoma: a multicenter study

Qiang Yang, Q. Yue, Xiaoxia Qu, 2021, Neuroradiology.

Interobserver variability in tumor contouring affects the use of radiomics to predict mutational status

Lin Lu, Qian Yin, Binsheng Zhao, 2017, Journal of medical imaging.

The Value of the Apparent Diffusion Coefficient in Differentiating Stage IA Endometrial Carcinoma From Normal Endometrium and Benign Diseases of the Endometrium: Initial Study at 3-T Magnetic Resonance Scanner

Yajun Li, R. Bai, Haoran Sun, 2010, Journal of computer assisted tomography.

CT Slice Thickness and Convolution Kernel Affect Performance of a Radiomic Model for Predicting EGFR Status in Non-Small Cell Lung Cancer: A Preliminary Study

L. Schwartz, Binsheng Zhao, Lin Lu, 2018, Scientific Reports.

Convolutional Neural Network Addresses the Confounding Impact of CT Reconstruction Kernels on Radiomics Studies

Shawn H. Sun, L. Schwartz, Binsheng Zhao, 2021, Tomography.