Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
BMC Neurology|December 27, 2025
Association between inflammatory markers and Parkinson's disease risk: a cross-sectional, propensity score-matched analysis of NHANES dataYue Sun, Shuang Li, Shengming Shi, et al.
Heliyon|June 7, 2024
Comprehensive pan-cancer analysis reveals the versatile role of GALNT7 in epigenetic alterations and immune modulation in cancerYan Liu, Yue Sun, Meixia Xiao, et al.
Obesity Science & Practice|April 27, 2026
Secular Trends and Prognostic Value of the Body Shape Index in U.S. AdultsShuang Li, Yuchen Zhong, Yan Liu, et al.
Frontiers in Medicine|May 18, 2026
A study of the effectiveness of the CBL combined with SP in the standardized training of general medicine residentsMeixia Xiao, Ziwei Lei, Yujian Gao, et al.
Clinical, Cosmetic and Investigational Dermatology|June 12, 2025
Association Between Serum Uric Acid Levels and Skin Cancer: Results from NHANES Data and Mendelian Randomization AnalysisYihao Niu, Shengming Shi, Yongxia Chen, et al.
Insights Into Imaging|January 6, 2026
Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancerYupeng Wu, Tao Jiang, Han Liu, et al.
Academic Radiology|April 9, 2025
Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center StudyShengming Shi, Tao Jiang, Han Liu, et al.
Quantitative Imaging in Medicine and Surgery|January 22, 2025
Development and validation of a multi-parametric MRI deep-learning model for preoperative lymphovascular invasion evaluation in rectal cancerShengming Shi, Apekshya Singh, Jiaqi Ma, et al.
BMC Medical Imaging|October 4, 2024
MRI T2WI-based radiomics combined with KRAS gene mutation constructed models for predicting liver metastasis in rectal cancerJiaqi Ma, Xinsheng Nie, Xiangjiang Kong, et al.
BMC Medical Imaging|May 21, 2026
Preoperative identification of tumor deposits in rectal cancer using a transformer-based multimodal fusion model: a multicenter retrospective studyJiayi Xie, Tao Jiang, Shengming Shi, et al.
Pageof 2