| Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: relationship to negative RT-PCR testing X Xie, Z Zhong, W Zhao, C Zheng, F Wang, J Liu Radiology 296 (2), E41-E45, 2020 | 2594 | 2020 |
| Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study W Zhao, Z Zhong, X Xie, Q Yu, J Liu American journal of roentgenology 214 (5), 1072-1077, 2020 | 1541 | 2020 |
| 3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas W Zhao, J Yang, Y Sun, C Li, W Wu, L Jin, Z Yang, B Ni, P Gao, P Wang, ... Cancer research 78 (24), 6881-6889, 2018 | 182 | 2018 |
| Severity assessment of coronavirus disease 2019 (COVID-19) using quantitative features from chest CT images Z Tang, W Zhao, X Xie, Z Zhong, F Shi, J Liu, D Shen arXiv preprint arXiv:2003.11988, 2020 | 168 | 2020 |
| CT scans of patients with 2019 novel coronavirus (COVID-19) pneumonia W Zhao, Z Zhong, X Xie, Q Yu, J Liu Theranostics 10 (10), 4606, 2020 | 125 | 2020 |
| Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images K He, W Zhao, X Xie, W Ji, M Liu, Z Tang, Y Shi, F Shi, Y Gao, J Liu, ... Pattern recognition 113, 107828, 2021 | 100 | 2021 |
| Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning W Zhao, J Yang, B Ni, D Bi, Y Sun, M Xu, X Zhu, C Li, L Jin, P Gao, ... Cancer medicine 8 (7), 3532-3543, 2019 | 100 | 2019 |
| Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction Y Sun, C Li, L Jin, P Gao, W Zhao, W Ma, M Tan, W Wu, S Duan, Y Shan, ... European radiology 30, 3650-3659, 2020 | 95 | 2020 |
| Severity assessment of COVID-19 using CT image features and laboratory indices Z Tang, W Zhao, X Xie, Z Zhong, F Shi, T Ma, J Liu, D Shen Physics in Medicine & Biology 66 (3), 035015, 2021 | 78 | 2021 |
| Persistent white matter changes in recovered COVID-19 patients at the 1-year follow-up S Huang, Z Zhou, D Yang, W Zhao, M Zeng, X Xie, Y Du, Y Jiang, X Zhou, ... Brain 145 (5), 1830-1838, 2022 | 66 | 2022 |
| Development and validation of a radiomics nomogram for identifying invasiveness of pulmonary adenocarcinomas appearing as subcentimeter ground-glass opacity nodules W Zhao, Y Xu, Z Yang, Y Sun, C Li, L Jin, P Gao, W He, P Wang, H Shi, ... European journal of radiology 112, 161-168, 2019 | 60 | 2019 |
| A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning Z Li, W Zhao, F Shi, L Qi, X Xie, Y Wei, Z Ding, Y Gao, S Wu, J Liu, Y Shi, ... Medical Image Analysis 69, 101978, 2021 | 51 | 2021 |
| Preoperative prediction of microvascular invasion of hepatocellular carcinoma with IVIM diffusion-weighted MR imaging and Gd-EOB-DTPA-enhanced MR imaging W Zhao, W Liu, H Liu, X Yi, J Hou, Y Pei, H Liu, D Feng, L Liu, W Li PLoS One 13 (5), e0197488, 2018 | 50 | 2018 |
| SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images S Zhao, Z Li, Y Chen, W Zhao, X Xie, J Liu, D Zhao, Y Li Pattern Recognition 119, 108109, 2021 | 43 | 2021 |
| Functional, anatomical, and morphological networks highlight the role of basal ganglia–thalamus–cortex circuits in schizophrenia W Zhao, S Guo, Z Linli, AC Yang, CP Lin, SJ Tsai Schizophrenia bulletin 46 (2), 422-431, 2020 | 40 | 2020 |
| The potential of radiomics nomogram in non-invasively prediction of epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma W Zhao, Y Wu, Y Xu, Y Sun, P Gao, M Tan, W Ma, C Li, L Jin, Y Hua, J Liu, ... Frontiers in oncology 9, 1485, 2020 | 40 | 2020 |
| Cross-site severity assessment of COVID-19 from CT images via domain adaptation GX Xu, C Liu, J Liu, Z Ding, F Shi, M Guo, W Zhao, X Li, Y Wei, Y Gao, ... IEEE transactions on medical imaging 41 (1), 88-102, 2021 | 38 | 2021 |
| A deep-learning-based framework for severity assessment of COVID-19 with CT images Z Li, S Zhao, Y Chen, F Luo, Z Kang, S Cai, W Zhao, J Liu, D Zhao, Y Li Expert Systems with Applications 185, 115616, 2021 | 33 | 2021 |
| Survivors of COVID-19 exhibit altered amplitudes of low frequency fluctuation in the brain: a resting-state functional magnetic resonance imaging study at 1-year follow-up YY Du, W Zhao, XL Zhou, M Zeng, DH Yang, XZ Xie, SH Huang, YJ Jiang, ... Neural regeneration research 17 (7), 1576-1581, 2022 | 31 | 2022 |
| Overcoming the blood-brain barrier: Exosomes as theranostic nanocarriers for precision neuroimaging C Li, S Qin, Y Wen, W Zhao, Y Huang, J Liu Journal of Controlled Release 349, 902-916, 2022 | 29 | 2022 |
