| The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures CW Wong, V Olafsson, O Tal, TT Liu Neuroimage 83, 983-990, 2013 | 268 | 2013 |
| Anti-correlated networks, global signal regression, and the effects of caffeine in resting-state functional MRI CW Wong, V Olafsson, O Tal, TT Liu Neuroimage 63 (1), 356-364, 2012 | 138 | 2012 |
| Differences in the resting-state fMRI global signal amplitude between the eyes open and eyes closed states are related to changes in EEG vigilance CW Wong, PN DeYoung, TT Liu Neuroimage 124, 24-31, 2016 | 106 | 2016 |
| Template-based prediction of vigilance fluctuations in resting-state fMRI M Falahpour, C Chang, CW Wong, TT Liu Neuroimage 174, 317-327, 2018 | 71 | 2018 |
| Radiomic prediction of mutation status based on MR imaging of lung cancer brain metastases BT Chen, T Jin, N Ye, I Mambetsariev, E Daniel, T Wang, CW Wong, ... Magnetic resonance imaging 69, 49-56, 2020 | 44 | 2020 |
| Maximum covariance unfolding: Manifold learning for bimodal data V Mahadevan, C Wong, J Pereira, T Liu, N Vasconcelos, L Saul Advances in Neural Information Processing Systems 24, 2011 | 44 | 2011 |
| Caffeine-induced global reductions in resting-state BOLD connectivity reflect widespread decreases in MEG connectivity O Tal, M Diwakar, CW Wong, V Olafsson, R Lee, MX Huang, TT Liu Frontiers in human neuroscience 7, 63, 2013 | 40 | 2013 |
| Resting-state fMRI activity predicts unsupervised learning and memory in an immersive virtual reality environment CW Wong, V Olafsson, M Plank, J Snider, E Halgren, H Poizner, TT Liu PLoS One 9 (10), e109622, 2014 | 37 | 2014 |
| Predicting survival duration with MRI radiomics of brain metastases from non-small cell lung cancer BT Chen, T Jin, N Ye, I Mambetsariev, T Wang, CW Wong, Z Chen, ... Frontiers in Oncology 11, 621088, 2021 | 35 | 2021 |
| Differentiating peripherally-located small cell lung cancer from non-small cell lung cancer using a CT radiomic approach BT Chen, Z Chen, N Ye, I Mambetsariev, J Fricke, E Daniel, G Wang, ... Frontiers in Oncology 10, 593, 2020 | 29 | 2020 |
| Effects of chemotherapy on aging white matter microstructure: A longitudinal diffusion tensor imaging study BT Chen, N Ye, CW Wong, SK Patel, T Jin, CL Sun, RC Rockne, H Kim, ... Journal of geriatric oncology 11 (2), 290-296, 2020 | 29 | 2020 |
| Radiogenomics of lung cancer CW Wong, A Chaudhry Journal of Thoracic Disease 12 (9), 5104, 2020 | 26 | 2020 |
| Intrinsic brain activity changes associated with adjuvant chemotherapy in older women with breast cancer: a pilot longitudinal study BT Chen, T Jin, SK Patel, N Ye, H Ma, CW Wong, RC Rockne, JC Root, ... Breast cancer research and treatment, 1-9, 2019 | 26 | 2019 |
| Independent component analysis‐based multifiber streamline tractography of the human brain M Singh, CW Wong Magnetic resonance in medicine 64 (6), 1676-1684, 2010 | 24 | 2010 |
| On a region-of-interest based approach to robust wireless video transmission ACW Wong, YK Kwok 7th International Symposium on Parallel Architectures, Algorithms and …, 2004 | 19 | 2004 |
| Analysis of gut microbiome using explainable machine learning predicts risk of diarrhea associated with tyrosine kinase inhibitor neratinib: a pilot study CW Wong, SE Yost, JS Lee, JD Gillece, M Folkerts, L Reining, ... Frontiers in oncology 11, 604584, 2021 | 18 | 2021 |
| Diagnostic utility of radiomics in thyroid and head and neck cancers M Gul, KJC Bonjoc, D Gorlin, CW Wong, A Salem, V La, A Filippov, ... Frontiers in oncology 11, 639326, 2021 | 15 | 2021 |
| Assessing cerebral white matter microstructure in children with congenital sensorineural hearing loss: a tract-based spatial statistics study M Jiang, Z Wen, L Long, CW Wong, N Ye, C Zee, BT Chen Frontiers in Neuroscience 13, 597, 2019 | 15 | 2019 |
| Identifying predictors of COVID-19 mortality using machine learning TK Wan, RX Huang, TW Tulu, JD Liu, A Vodencarevic, CW Wong, ... Life 12 (4), 547, 2022 | 12 | 2022 |
| Identifying autism spectrum disorder based on individual-aware down-sampling and multi-modal learning L Pan, J Liu, M Shi, CW Wong, KHK Chan arXiv preprint arXiv:2109.09129, 2021 | 11 | 2021 |
