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Quantitative Imaging in Medicine and Surgery|June 3, 2021
Predicting cancer malignancy and proliferation in glioma patients: intra-subject inter-metabolite correlation analyses using MRI and MRSI contrast scansChangliang Su, Shihui Li, Xiaowei Chen, et al.
World Neurosurgery|April 7, 2024
A Study on Prognosis of Diffuse Glioma Based on Clinical Factors and Magnetic Resonance Imaging RadiomicsDongcun Huang, Tianyu Gao, Ying Zhang, et al.
European Radiology|July 17, 2021
Multi-parametric Z-spectral MRI may have a good performance for glioma stratification in clinical patientsChangliang Su, Shijie Xu, Danlin Lin, et al.
American Journal of Translational Research|July 18, 2019
Survival prediction of high-grade glioma patients with diffusion kurtosis imagingJu Zhang, Jingjing Jiang, Lingyun Zhao, et al.
Quantitative Imaging in Medicine and Surgery|June 11, 2026
Magnetic resonance imaging signal variation for the effective quantitative evaluation of treatment response to neoadjuvant immunotherapy of osteosarcoma: a comparative study with Response Evaluation Criteria in Solid Tumors version 1.1Boya Li, Changliang Su, Baocong Liu, et al.
Magnetic Resonance Imaging|December 5, 2024
The fuzzy MAD stroke conjecture, using Fuzzy C Means to classify multimodal apparent diffusion for ischemic stroke lesion stratificationFrederick C Damen, Changliang Su, Jay Tsuruda, et al.
Oncotarget|November 7, 2015
Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferationRifeng Jiang, Jingjing Jiang, Lingyun Zhao, et al.
European Radiology|October 14, 2018
Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviourChangliang Su, Jingjing Jiang, Shun Zhang, et al.
European Radiology|August 15, 2018
Amid proton transfer (APT) and magnetization transfer (MT) MRI contrasts provide complimentary assessment of brain tumors similarly to proton magnetic resonance spectroscopy imaging (MRSI)Changliang Su, Lingyun Zhao, Shihui Li, et al.
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