| Deep learning MR imaging–based attenuation correction for PET/MR imaging F Liu, H Jang, R Kijowski, T Bradshaw, AB McMillan Radiology 286 (2), 676-684, 2018 | 415 | 2018 |
| Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging F Liu, Z Zhou, H Jang, A Samsonov, G Zhao, R Kijowski Magnetic resonance in medicine 79 (4), 2379-2391, 2018 | 325 | 2018 |
| A deep learning approach for 18F-FDG PET attenuation correction F Liu, H Jang, R Kijowski, G Zhao, T Bradshaw, AB McMillan EJNMMI physics 5, 1-15, 2018 | 113 | 2018 |
| Whole knee joint T1 values measured in vivo at 3T by combined 3D ultrashort echo time cones actual flip angle and variable flip angle methods YJ Ma, W Zhao, L Wan, T Guo, A Searleman, H Jang, EY Chang, J Du Magnetic resonance in medicine 81 (3), 1634-1644, 2019 | 73 | 2019 |
| Knee menisci segmentation and relaxometry of 3D ultrashort echo time cones MR imaging using attention U‐Net with transfer learning M Byra, M Wu, X Zhang, H Jang, YJ Ma, EY Chang, S Shah, J Du Magnetic resonance in medicine 83 (3), 1109-1122, 2020 | 70 | 2020 |
| Deep learning based MRAC using rapid ultrashort echo time imaging H Jang, F Liu, G Zhao, T Bradshaw, AB McMillan Medical physics 45 (8), 3697-3704, 2018 | 59 | 2018 |
| Whole-brain myelin imaging using 3D double-echo sliding inversion recovery ultrashort echo time (DESIRE UTE) MRI YJ Ma, AC Searleman, H Jang, J Wong, EY Chang, J Corey-Bloom, ... Radiology 294 (2), 362-374, 2020 | 58 | 2020 |
| Feasibility of deep learning–based PET/MR attenuation correction in the pelvis using only diagnostic MR images TJ Bradshaw, G Zhao, H Jang, F Liu, AB McMillan Tomography 4 (3), 138-147, 2018 | 53 | 2018 |
| Myelin imaging in human brain using a short repetition time adiabatic inversion recovery prepared ultrashort echo time (STAIR-UTE) MRI sequence in multiple sclerosis YJ Ma, H Jang, Z Wei, Z Cai, Y Xue, RR Lee, EY Chang, GM Bydder, ... Radiology 297 (2), 392-404, 2020 | 50 | 2020 |
| Three‐dimensional ultrashort echo time imaging with tricomponent analysis for human cortical bone X Lu, S Jerban, L Wan, Y Ma, H Jang, N Le, W Yang, EY Chang, J Du Magnetic resonance in medicine 82 (1), 348-355, 2019 | 50 | 2019 |
| Quantitative ultrashort echo time (UTE) magnetic resonance imaging of bone: an update YJ Ma, S Jerban, H Jang, D Chang, EY Chang, J Du Frontiers in endocrinology 11, 567417, 2020 | 48 | 2020 |
| Trabecular bone imaging using a 3D adiabatic inversion recovery prepared ultrashort TE Cones sequence at 3T YJ Ma, Y Chen, L Li, Z Cai, Z Wei, S Jerban, H Jang, EY Chang, J Du Magnetic resonance in medicine 83 (5), 1640-1651, 2020 | 47 | 2020 |
| Ramped hybrid encoding for improved ultrashort echo time imaging H Jang, CN Wiens, AB McMillan Magnetic resonance in medicine 76 (3), 814-825, 2016 | 46 | 2016 |
| Volumetric mapping of bound and pore water as well as collagen protons in cortical bone using 3D ultrashort echo time cones MR imaging techniques S Jerban, Y Ma, L Li, H Jang, L Wan, T Guo, A Searleman, EY Chang, ... Bone 127, 120-128, 2019 | 43 | 2019 |
| Collagen proton fraction from ultrashort echo time magnetization transfer (UTE‐MT) MRI modelling correlates significantly with cortical bone porosity measured with micro … S Jerban, Y Ma, L Wan, AC Searleman, H Jang, RL Sah, EY Chang, J Du NMR in Biomedicine 32 (2), e4045, 2019 | 42 | 2019 |
| Fat suppression for ultrashort echo time imaging using a single‐point Dixon method H Jang, M Carl, Y Ma, S Jerban, T Guo, W Zhao, EY Chang, J Du NMR in Biomedicine 32 (5), e4069, 2019 | 40 | 2019 |
| Significant correlations between human cortical bone mineral density and quantitative susceptibility mapping (QSM) obtained with 3D Cones ultrashort echo time magnetic … S Jerban, X Lu, H Jang, Y Ma, B Namiranian, N Le, Y Li, EY Chang, J Du Magnetic resonance imaging 62, 104-110, 2019 | 39 | 2019 |
| Ultrashort echo time magnetic resonance imaging techniques: met and unmet needs in musculoskeletal imaging AM Afsahi, Y Ma, H Jang, S Jerban, CB Chung, EY Chang, J Du Journal of Magnetic Resonance Imaging 55 (6), 1597-1612, 2022 | 37 | 2022 |
| Convincing evidence for magic angle less‐sensitive quantitative T1ρ imaging of articular cartilage using the 3D ultrashort echo time cones adiabatic T1ρ (3D UTE cones … M Wu, Y Ma, A Kasibhatla, M Chen, H Jang, S Jerban, EY Chang, J Du Magnetic resonance in medicine 84 (5), 2551-2560, 2020 | 37 | 2020 |
| Correlations of cortical bone microstructural and mechanical properties with water proton fractions obtained from ultrashort echo time (UTE) MRI tricomponent T2* model S Jerban, X Lu, EW Dorthe, S Alenezi, Y Ma, L Kakos, H Jang, RL Sah, ... NMR in Biomedicine 33 (3), e4233, 2020 | 37 | 2020 |
Jiang DuUniversity of California, San DiegoVerified email at ucsd.edu
