| STrategically Acquired Gradient Echo (STAGE) imaging, part II: Correcting for RF inhomogeneities in estimating T1 and proton density Y Wang, Y Chen, D Wu, Y Wang, SK Sethi, G Yang, H Xie, S Xia, ... Magnetic resonance imaging 46, 140-150, 2018 | 83 | 2018 |
| Quantifying errors in flow measurement using phase contrast magnetic resonance imaging: comparison of several boundary detection methods J Jiang, P Kokeny, W Ying, C Magnano, R Zivadinov, EM Haacke Magnetic resonance imaging 33 (2), 185-193, 2015 | 49 | 2015 |
| 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 | 45 | 2021 |
| VC-Net: Deep volume-composition networks for segmentation and visualization of highly sparse and noisy image data Y Wang, G Yan, H Zhu, S Buch, Y Wang, EM Haacke, J Hua, Z Zhong IEEE transactions on visualization and computer graphics 27 (2), 1301-1311, 2020 | 40 | 2020 |
| Subvoxel vascular imaging of the midbrain using USPIO-Enhanced MRI S Buch, Y Wang, MG Park, PK Jella, J Hu, Y Chen, K Shah, Y Ge, ... Neuroimage 220, 117106, 2020 | 32 | 2020 |
| Automated white matter hyperintensity detection in multiple sclerosis using 3D T2 FLAIR Y Zhong, D Utriainen, Y Wang, Y Kang, EM Haacke International journal of biomedical imaging 2014 (1), 239123, 2014 | 32 | 2014 |
| JointVesselNet: Joint volume-projection convolutional embedding networks for 3D cerebrovascular segmentation Y Wang, G Yan, H Zhu, S Buch, Y Wang, EM Haacke, J Hua, Z Zhong Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 27 | 2020 |
| Multi-echo quantitative susceptibility mapping for strategically acquired gradient echo (STAGE) imaging S Gharabaghi, S Liu, Y Wang, Y Chen, S Buch, M Jokar, T Wischgoll, ... Frontiers in Neuroscience 14, 581474, 2020 | 24 | 2020 |
| Automatic detection of neuromelanin and iron in the midbrain nuclei using a magnetic resonance imaging‐based brain template Z Jin, Y Wang, M Jokar, Y Li, Z Cheng, Y Liu, R Tang, X Shi, Y Zhang, ... Human Brain Mapping 43 (6), 2011-2025, 2022 | 11 | 2022 |
| Diagnosing Parkinson's disease by combining neuromelanin and iron imaging features using an automated midbrain template approach M Jokar, Z Jin, P Huang, Y Wang, Y Zhang, Y Li, Z Cheng, Y Liu, R Tang, ... Neuroimage 266, 119814, 2023 | 10 | 2023 |
| Automatic segmentation of deep grey matter structures for iron quantification Y Wang, Y Chen, DT Utriainen, EM Haacke Proceedings of the 27th Annual Meeting of ISMRM Montréal, QC, 2019 | 2 | 2019 |
| One step toward automating vessel detection and labeling in the neck for flow quantification Y Wang, J Jiang, P Kokeny, Y Zhong, EM Haacke Proceedings of the International Society of Magnetic Resonance in Medicine, 2015 | 1 | 2015 |
| An integrated detection method of clustered microcalcifications in mammography based on multiscale Hessian Matrix Y Wang, H Zhao, H Li, X Pan, Y Kang 2012 IEEE International Conference on Information and Automation, 106-110, 2012 | 1 | 2012 |
| Improved tensor based registration: An heterogeneous approach Y Wang, H Zhao, Y Kang, EM Haacke 2012 IEEE International Conference on Information and Automation, 486-490, 2012 | 1 | 2012 |
| In vivo measurement of oxygenation changes after stroke using susceptibility weighted imaging M Li, J Wu, Y Miao, Z Yang, W Raza, Y Wang, EM Haacke, J Hu Proc. Int'l. Soc. Magn. Reson. Med. 19th Meeting, Montreal, Quebec, Canada, 4062, 2011 | 1 | 2011 |
