| Quantifying iron content in magnetic resonance imaging K Ghassaban, S Liu, C Jiang, EM Haacke Neuroimage 187, 77-92, 2019 | 95 | 2019 |
| Imaging the Nigrosome 1 in the substantia nigra using susceptibility weighted imaging and quantitative susceptibility mapping: An application to Parkinson's disease Z Cheng, N He, P Huang, Y Li, R Tang, SK Sethi, K Ghassaban, ... NeuroImage: Clinical 25, 102103, 2020 | 81 | 2020 |
| Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping M Liu, S Liu, K Ghassaban, W Zheng, D Dicicco, Y Miao, C Habib, ... Journal of Magnetic Resonance Imaging 44 (1), 59-71, 2016 | 77 | 2016 |
| Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls K Ghassaban, N He, SK Sethi, P Huang, C Shengdi, F Yan, EM Haacke Frontiers in Aging Neuroscience 11 (106), 2019 | 61 | 2019 |
| Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as … N He, K Ghassaban, P Huang, M Jokar, Y Wang, Z Cheng, Z Jin, Y Li, ... Neuroimage 230, 117810, 2021 | 42 | 2021 |
| Iron quantification in Parkinson's disease using an age-based threshold on susceptibility maps: the advantage of local versus entire structure iron content measurements SK Sethi, SJ Kisch, K Ghassaban, A Rajput, A Rajput, PS Babyn, S Liu, ... Magnetic resonance imaging 55, 145-152, 2019 | 21 | 2019 |
| Subcortical brain iron deposition and cognitive performance in older women with breast cancer receiving adjuvant chemotherapy: a pilot MRI study BT Chen, K Ghassaban, T Jin, SK Patel, N Ye, CL Sun, H Kim, ... Magnetic resonance imaging 54, 218-224, 2018 | 20 | 2018 |
| Assessing brain iron and volume of subcortical nuclei in idiopathic rapid eye movement sleep behavior disorder X Zhang, C Chai, K Ghassaban, J Ye, Y Huang, T Zhang, W Wu, J Zhu, ... Sleep 44 (10), zsab131, 2021 | 18 | 2021 |
| Quantifying calcium changes in the fetal spine using quantitative susceptibility mapping as extracted from STAGE imaging C Sun, K Ghassaban, J Song, Y Chen, C Zhang, F Qu, J Zhu, G Wang, ... European radiology 33 (1), 606-614, 2023 | 3 | 2023 |
| Perfusion and Susceptibility Weighted Imaging in Traumatic Brain Injury NM Wiseman, K Ghassaban, DT Utriainen, S Buch, Z Kou, EM Haacke Neurosensory Disorders in Mild Traumatic Brain Injury, 303-319, 2019 | 1 | 2019 |
| T2*: Susceptibility Weighted Imaging and Quantitative Susceptibility Mapping EM Haacke, K Ghassaban, Y Chen, S Liu, S Buch Quantitative MRI of the Brain, 115-128, 2018 | 1* | 2018 |
| Optimization of the Capsule Production Stochastic Cycle Time K Ghouchanian, K Ghassaban, M Jokar Research in Economics and Management 2 (4), Online, 2017 | 1 | 2017 |
| PENCIL imaging: A novel approach for neuromelanin sensitive MRI in Parkinson's disease P Liu, X Wang, Y Zhang, P Huang, Z Jin, Z Cheng, Y Chen, Q Xu, ... NeuroImage 291, 120588, 2024 | | 2024 |
| Quantifying calcium changes in the fetal spine using quantitative susceptibility mapping as extracted from STAGE imaging (Aug, 10.1007/s00330-022-09042-5, 2022) C Sun, K Ghassaban, J Song, Y Chen, C Zhang, F Qu, J Zhu, G Wang, ... EUROPEAN RADIOLOGY 33 (1), 743-743, 2023 | | 2023 |
| Assessing Midbrain Abnormalities In Parkinson’s Disease Using Magnetic Resonance Imaging K Ghassaban Wayne State University, 2021 | | 2021 |
| Quantitative assessment of brain iron content as a function of age using magnetic resonance imaging K Ghassaban Wayne State University, 2016 | | 2016 |
| Quantifying Fetal Vertebral Body Calcium Changes Using Quantitative Susceptibility Mapping K Ghassaban, C Sun, G Wang, EM Haacke | | |
| Evaluating Brain Iron Content in Patients with Idiopathic Rapid Eye Movement Sleep Behavior Disorder K Ghassaban, C Chai, H Wang, T Zhang, J Zhu, X Zhang, EM Haacke, ... | | |
| Spatial changes of neuromelanin and iron content in substantial nigra pars compacta in early-stage idiopathic Parkinson’s disease Z Cheng, B Xiao, N He, D Shen, Q Wang, F Shi, Y Zhang, P Huang, Y Li, ... | | |
| Quantitative assessment of abnormal susceptibility, R1 and R2* changes in the deep gray matter nuclei in Parkinson’s disease and essential tremor K Ghassaban, SK Sethi, D Utriainen, Z Cheng, P Huang, Y Li, R Tang, ... | | |
Sean K. SethiWayne State University在 wayne.edu 的电子邮件经过验证
