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Behavioural Brain Research|April 12, 2015
Characterizing brain iron deposition in subcortical ischemic vascular dementia using susceptibility-weighted imaging: An in vivo MR studyChen Liu, Chuanming Li, Jun Yang, et al.Brain Research|September 10, 2014
Morphologic changes in the anterior and posterior subregions of V1 and V2 and the V5/MT+ in patients with primary open-angle glaucomaLonghua Yu, Xuntao Yin, Chao Dai, et al.Neuroscience Letters|June 26, 2021
Differentiating Parkinson's disease motor subtypes: A radiomics analysis based on deep gray nuclear lesion and white matterDong Sun, Xiaojia Wu, Yuwei Xia, et al.Journal of Clinical and Translational Hepatology|March 2, 2022
Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine LearningXiaoming Li, Lin Cheng, Chuanming Li, et al.Journal of Magnetic Resonance Imaging : JMRI|May 14, 2021
Individualized Prediction of Early Alzheimer's Disease Based on Magnetic Resonance Imaging Radiomics, Clinical, and Laboratory Examinations: A 60-Month Follow-Up StudyLin Tang, Xiaojia Wu, Huan Liu, et al.Frontiers in Neurology|October 27, 2025
Automatic diagnosis of type 2 diabetes mellitus with mild cognitive impairment using artificial intelligence based on routine T1-weighted MRIChang Li, Jun Zhang, Bo Xue, et al.Current Medical Imaging|October 15, 2025
Application Value of Intelligent Quick Magnetic Resonance for Accelerating Brain MR Scanning and Improving Image Quality in Acute Ischemic StrokeBo Xue, Dengjie Duan, Junbang Feng, et al.Frontiers in Medicine|July 9, 2025
Corrigendum: Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic modelWenjing Wang, Qingbiao Zhang, Shimei Fan, et al.American Journal of Alzheimer'S Disease and Other Dementias|March 14, 2025
Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and RadiomicsJunbang Feng, Xingyan Le, Li Li, et al.European Radiology|September 26, 2021
Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiographyJie Xu, Linli Chen, Xiaojia Wu, et al.Pageof 10