| A cellular automaton model reproducing realistic propagation speed of downstream front of the moving synchronized pattern Z Wang, S Ma, R Jiang, J Tian Transportmetrica B: Transport Dynamics 7 (1), 295-310, 2019 | 15 | 2019 |
| Motion-resolved and free-breathing liver MRF P Cao, Z Wang, C Liu, T Li, ES Hui, J Cai Magnetic Resonance Imaging 91, 69-80, 2022 | 7 | 2022 |
| Respiratory-correlated 4-dimensional magnetic resonance fingerprinting for liver cancer radiation therapy motion management C Liu, T Li, P Cao, ES Hui, YL Wong, Z Wang, H Xiao, S Zhi, T Zhou, W Li, ... International Journal of Radiation Oncology* Biology* Physics 117 (2), 493-504, 2023 | 4 | 2023 |
| Resting-state functional magnetic resonance imaging as an indicator of neuropsychological changes in type 1 narcolepsy L Xu, R Xue, Z Ai, Y Huang, X Liu, L Wang, D Liang, Z Wang Academic Radiology 31 (1), 69-81, 2024 | 3 | 2024 |
| Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image Z Wang, M Nawaz, S Khan, P Xia, M Irfan, EC Wong, R Chan, P Cao Computerized Medical Imaging and Graphics 108, 102272, 2023 | 3 | 2023 |
| The use of diffusion kurtosis imaging for the differential diagnosis of Alzheimer’s disease spectrum H Zhang, Z Wang, KH Chan, YF Shea, CY Lee, PKC Chiu, P Cao, ... Brain Sciences 13 (4), 595, 2023 | 3 | 2023 |
| A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM) Z Wang, P Xia, F Huang, H Wei, ESK Hui, HKF Mak, P Cao Magnetic Resonance Imaging 88, 89-100, 2022 | 2 | 2022 |
| Car following model simulating traffic breakdown and concave growth pattern of oscillations in traffic flow Z Wang, J Tian, R Jiang, X Li, SF Ma arXiv preprint arXiv:1703.10378, 2017 | 2 | 2017 |
| Deep‐Learning‐Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping P Xia, ES Hui, BJ Chua, F Huang, Z Wang, H Zhang, H Yu, KK Lau, ... Journal of Magnetic Resonance Imaging, 2023 | 1 | 2023 |
| Deep learning‐regularized, single‐step quantitative susceptibility mapping quantification Z Wang, HKF Mak, P Cao NMR in Biomedicine 36 (3), e4849, 2023 | 1 | 2023 |
| Combined quantitative amyloid-β PET and structural MRI features improve Alzheimer’s Disease classification in random forest model-A multicenter study YW Bao, ZJ Wang, YF Shea, PKC Chiu, JSK Kwan, FHW Chan, HKF Mak Academic Radiology, 2024 | | 2024 |
| Expression of regional brain amyloid-β deposition with [18F]Flutemetamol in Centiloid scale -a multi-site study YW Bao, ZJ Wang, LL Guo, GJ Bai, Y Feng, GD Zhao Neuroradiology, 1-15, 2024 | | 2024 |
| Using a deep learning prior for accelerating hyperpolarized 13C MRSI on synthetic cancer datasets Z Wang, G Luo, Y Li, P Cao Magnetic Resonance in Medicine, 2024 | | 2024 |
| Physics-informed deep learning reconstruction in medical imaging Z Wang HKU Theses Online (HKUTO), 2023 | | 2023 |
| Synthesize Quantitative Susceptibility Mapping from Susceptibility Weighting Imaging Using a Cycle Generative Adversarial Network Z Wang, P Xia, HKF Mak, P Cao ISMRM (International Society of Magnetic Resonance Imaging) Virtual …, 2021 | | 2021 |
| Defacing and Refacing Brain MRI Using a Cycle Generative Adversarial Network Z Wang, P Xia, W Cao, GKK Lau, HKF Mak, P Cao ISMRM (International Society of Magnetic Resonance Imaging) Virtual …, 2021 | | 2021 |
| The Brain Topological Alterations in the Structural Connectome and Correlations with Clinical Characteristics in Type 1 Narcolepsy H Zhang, L Xu, Z Ai, L Wang, L Wang, L Li, R Zhang, R Xue, ZJ Wang Available at SSRN 4839909, 0 | | |
| Expression of Regional Amyloid Deposition in Centiloid Scale and Used for Quantitative Analysis in Alzheimer's Disease-A Multi-Site Study YW Bao, ZJ Wang, YF Shea, PKC Chiu, JSK Kwan, FHW Chan, HKF Mak Available at SSRN 4148575, 0 | | |
Peng CaoHKU在 hku.hk 的电子邮件经过验证
