| Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis L Yu, G Tao, L Zhu, G Wang, Z Li, J Ye, Q Chen BMC cancer 19, 1-12, 2019 | 94 | 2019 |
| Flexible bronchoscopy-guided microwave ablation in peripheral porcine lung: a new minimally-invasive ablation HB Yuan, XY Wang, JY Sun, FF Xie, XX Zheng, GY Tao, L Pan, ... Translational lung cancer research 8 (6), 787, 2019 | 40 | 2019 |
| Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks H Wang, G Tao, J Ma, S Jia, L Chi, H Yang, Z Zhao, J Tao IEEE Journal of Selected Topics in Signal Processing 16 (2), 276-288, 2022 | 30 | 2022 |
| AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes J Yang, Y He, X Huang, J Xu, X Ye, G Tao, B Ni Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 24 | 2020 |
| Pre-immunotherapy contrast-enhanced CT texture-based classification: a useful approach to non-small cell lung cancer immunotherapy efficacy prediction L Shen, H Fu, G Tao, X Liu, Z Yuan, X Ye Frontiers in Oncology 11, 591106, 2021 | 21 | 2021 |
| Prediction of future imagery of lung nodule as growth modeling with follow-up computed tomography scans using deep learning: a retrospective cohort study G Tao, L Zhu, Q Chen, L Yin, Y Li, J Yang, B Ni, Z Zhang, CW Koo, ... Translational Lung Cancer Research 11 (2), 250, 2022 | 19 | 2022 |
| Learning tumor growth via follow-up volume prediction for lung nodules Y Li, J Yang, Y Xu, J Xu, X Ye, G Tao, X Xie, G Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 16 | 2020 |
| Impact of surgery and adjuvant chemotherapy on the survival of stage I lung adenocarcinoma patients with tumor spread through air spaces Y Lv, S Li, Z Liu, Z Ren, J Zhao, G Tao, Z Zheng, Y Han, B Ye Lung Cancer 177, 51-58, 2023 | 15 | 2023 |
| A comprehensive review of artificial intelligence in prevention and treatment of COVID-19 pandemic H Wang, S Jia, Z Li, Y Duan, G Tao, Z Zhao Frontiers in Genetics 13, 845305, 2022 | 15 | 2022 |
| OCT4&SOX2‐specific cytotoxic T lymphocytes plus programmed cell death protein 1 inhibitor presented with synergistic effect on killing lung cancer stem‐like cells in vitro and … X Zhang, F Hu, C Li, X Zheng, B Zhang, H Wang, G Tao, J Xu, Y Zhang, ... Journal of Cellular Physiology 234 (5), 6758-6768, 2019 | 13 | 2019 |
| Accurate prediction of epidermal growth factor receptor mutation status in early‐stage lung adenocarcinoma, using radiomics and clinical features H Zhu, Y Song, Z Huang, L Zhang, Y Chen, G Tao, Y She, X Sun, H Yu Asia‐Pacific Journal of Clinical Oncology 18 (6), 586-594, 2022 | 10 | 2022 |
| Dependence of radiomic features on pixel size affects the diagnostic performance of radiomic signature for the invasiveness of pulmonary ground-glass nodule G Tao, L Yin, D Shi, J Ye, Z Lu, Z Zhou, Y Yu, X Ye, H Yu The British Journal of Radiology 94 (1118), 20200089, 2021 | 7 | 2021 |
| Longitudinal prediction of lung nodule invasiveness by sequential modelling with common clinical computed tomography (CT) measurements: a prediction accuracy study G Tao, D Shi, L Yu, C Chen, Z Zhang, CM Park, E Szurowska, Y Chen, ... Translational Lung Cancer Research 11 (5), 845, 2022 | 6 | 2022 |
| Prognostic and predictive value of radiomic signature in stage I lung adenocarcinomas following complete lobectomy W Nie, G Tao, Z Lu, J Qian, Y Ge, S Wang, X Zhang, H Zhong, H Yu Journal of Translational Medicine 20 (1), 339, 2022 | 4 | 2022 |
| Identifying autism spectrum disorder from multi-modal data with privacy-preserving H Wang, H Jing, J Yang, C Liu, L Hu, G Tao, Z Zhao, N Shen npj Mental Health Research 3 (1), 15, 2024 | 3 | 2024 |
| Beyond radiologist-level liver lesion detection on multi-phase contrast-enhanced CT images by deep learning L Wu, H Wang, Y Chen, X Zhang, T Zhang, N Shen, G Tao, Z Sun, Y Ding, ... Iscience 26 (11), 2023 | 3 | 2023 |
| A CT-based radiomics integrated model for discriminating pulmonary cryptococcosis granuloma from lung adenocarcinoma—a diagnostic test B Hu, W Xia, S Piao, J Xiong, Y Tang, H Yu, G Tao, L Sun, M Shen, ... Translational Lung Cancer Research 12 (8), 1790, 2023 | 2 | 2023 |
| An interpretable deep embedding model for few and imbalanced biomedical data H Wang, J Yang, G Tao, J Ma, L Chi, J Wu, Z Zhao IEEE Journal of Biomedical and Health Informatics, 2022 | 2 | 2022 |
| The effectiveness of deep learning techniques in differentiating benign and malignant lung nodules on target CT scans G Tao, J Ye, X Ye, L MAO, L YU, Z Zhou, X Li Chinese Journal of Radiology, 952-956, 2019 | 1 | 2019 |
| Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancer L Sun, S Luan, L Yu, H Zhu, H Dong, X Liu, G Tao, P He, Q Li, W Chen, ... Translational Cancer Research 13 (12), 6825, 2024 | | 2024 |
