| Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions UW Kaunzner, Y Kang, S Zhang, E Morris, Y Yao, S Pandya, ... Brain 142 (1), 133-145, 2019 | 201 | 2019 |
| Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation R Jiang, J Jiang, L Zhao, J Zhang, S Zhang, Y Yao, S Yang, J Shi, N Shen, ... Oncotarget 6 (39), 42380, 2015 | 146 | 2015 |
| Intravoxel incoherent motion diffusion‐weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of … N Shen, L Zhao, J Jiang, R Jiang, C Su, S Zhang, X Tang, W Zhu Journal of Magnetic Resonance Imaging 44 (3), 620-632, 2016 | 111 | 2016 |
| Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour C Su, J Jiang, S Zhang, J Shi, K Xu, N Shen, J Zhang, L Li, L Zhao, ... European radiology 29, 1986-1996, 2019 | 107 | 2019 |
| Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent … J Cho, Y Kee, P Spincemaille, TD Nguyen, J Zhang, A Gupta, S Zhang, ... Magnetic resonance in medicine 80 (4), 1595-1604, 2018 | 94 | 2018 |
| Enhanced astrocyte responses are driven by a genetic risk allele associated with multiple sclerosis G Ponath, MR Lincoln, M Levine-Ritterman, C Park, S Dahlawi, ... Nature communications 9 (1), 5337, 2018 | 77 | 2018 |
| QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions KM Gillen, M Mubarak, C Park, G Ponath, S Zhang, A Dimov, ... annals of Clinical and Translational Neurology 8 (4), 877-886, 2021 | 70 | 2021 |
| Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction J Zhang, Z Liu, S Zhang, H Zhang, P Spincemaille, TD Nguyen, ... Neuroimage 211, 116579, 2020 | 67 | 2020 |
| Quantitative susceptibility mapping of time-dependent susceptibility changes in multiple sclerosis lesions S Zhang, TD Nguyen, SMH Rúa, UW Kaunzner, S Pandya, I Kovanlikaya, ... American Journal of Neuroradiology 40 (6), 987-993, 2019 | 63 | 2019 |
| Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM K Deh, GD Ponath, Z Molvi, GCT Parel, KM Gillen, S Zhang, TD Nguyen, ... Journal of Magnetic Resonance Imaging 48 (5), 1281-1287, 2018 | 61 | 2018 |
| Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level‐dependent magnitude (qBOLD)‐based oxygen extraction … J Cho, S Zhang, Y Kee, P Spincemaille, TD Nguyen, S Hubertus, A Gupta, ... Magnetic resonance in medicine 83 (3), 844-857, 2020 | 53 | 2020 |
| Initial experience of challenge-free MRI-based oxygen extraction fraction mapping of ischemic stroke at various stages: comparison with perfusion and diffusion mapping S Zhang, J Cho, TD Nguyen, P Spincemaille, A Gupta, W Zhu, Y Wang Frontiers in neuroscience 14, 535441, 2020 | 33 | 2020 |
| Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD S Hubertus, S Thomas, J Cho, S Zhang, Y Wang, LR Schad Magnetic resonance in medicine 82 (6), 2199-2211, 2019 | 32 | 2019 |
| Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping S Zhang, GCY Chiang, JM Knapp, CM Zecca, D He, R Ramakrishna, ... Journal of Neuroradiology 47 (4), 272-277, 2020 | 29 | 2020 |
| RSANet: recurrent slice-wise attention network for multiple sclerosis lesion segmentation H Zhang, J Zhang, Q Zhang, J Kim, S Zhang, SA Gauthier, P Spincemaille, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 29 | 2019 |
| Texture analysis on conventional MRI images accurately predicts early malignant transformation of low-grade gliomas S Zhang, GCY Chiang, RS Magge, HA Fine, R Ramakrishna, EW Chang, ... European Radiology 29, 2751-2759, 2019 | 28 | 2019 |
| Clinical integration of automated processing for brain quantitative susceptibility mapping: multi‐site reproducibility and single‐site robustness P Spincemaille, Z Liu, S Zhang, I Kovanlikaya, M Ippoliti, M Makowski, ... Journal of Neuroimaging 29 (6), 689-698, 2019 | 25 | 2019 |
| Initial application of diffusional kurtosis imaging in evaluating brain development of healthy preterm infants J Shi, L Chang, J Wang, S Zhang, Y Yao, S Zhang, R Jiang, L Guo, ... PLoS One 11 (4), e0154146, 2016 | 25 | 2016 |
| Brain oxygen extraction fraction mapping in patients with multiple sclerosis J Cho, TD Nguyen, W Huang, EM Sweeney, X Luo, I Kovanlikaya, ... Journal of Cerebral Blood Flow & Metabolism 42 (2), 338-348, 2022 | 24 | 2022 |
| The spatiotemporal evolution of MRI-derived oxygen extraction fraction and perfusion in ischemic stroke D Wu, Y Zhou, J Cho, N Shen, S Li, Y Qin, G Zhang, S Yan, Y Xie, ... Frontiers in Neuroscience 15, 716031, 2021 | 22 | 2021 |
