| Artificial intelligence quantified tumour-stroma ratio is an independent predictor for overall survival in resectable colorectal cancer K Zhao, Z Li, S Yao, Y Wang, X Wu, Z Xu, L Wu, Y Huang, C Liang, Z Liu EBioMedicine 61, 2020 | 93 | 2020 |
| Radiomics approach for preoperative identification of stages I− II and III− IV of esophageal cancer L Wu, C Wang, X Tan, Z Cheng, K Zhao, L Yan, Y Liang, Z Liu, C Liang Chinese Journal of Cancer Research 30 (4), 396, 2018 | 55 | 2018 |
| Deep learning signature based on staging CT for preoperative prediction of sentinel lymph node metastasis in breast cancer X Yang, L Wu, W Ye, K Zhao, Y Wang, W Liu, J Li, H Li, Z Liu, C Liang Academic Radiology 27 (9), 1226-1233, 2020 | 53 | 2020 |
| Multiple level CT radiomics features preoperatively predict lymph node metastasis in esophageal cancer: a multicentre retrospective study L Wu, X Yang, W Cao, K Zhao, W Li, W Ye, X Chen, Z Zhou, Z Liu, C Liang Frontiers in oncology 9, 1548, 2020 | 48 | 2020 |
| Deep learning features improve the performance of a radiomics signature for predicting KRAS status in patients with colorectal cancer X Wu, Y Li, X Chen, Y Huang, L He, K Zhao, X Huang, W Zhang, Y Huang, ... Academic radiology 27 (11), e254-e262, 2020 | 47 | 2020 |
| Predicting treatment response to neoadjuvant chemoradiotherapy in local advanced rectal cancer by biopsy digital pathology image features F Zhang, S Yao, Z Li, C Liang, K Zhao, Y Huang, Y Gao, J Qu, Z Li, Z Liu Clinical and translational medicine 10 (2), 2020 | 41 | 2020 |
| Meta multi-task nuclei segmentation with fewer training samples C Han, H Yao, B Zhao, Z Li, Z Shi, L Wu, X Chen, J Qu, K Zhao, R Lan, ... Medical Image Analysis 80, 102481, 2022 | 25 | 2022 |
| Nomogram for the prediction of malignancy in small (8–20 mm) indeterminate solid solitary pulmonary nodules in Chinese populations XB Chen, RY Yan, K Zhao, DF Zhang, YJ Li, L Wu, XX Dong, Y Chen, ... Cancer Management and Research, 9439-9448, 2019 | 25 | 2019 |
| Normalization of multicenter CT radiomics by a generative adversarial network method Y Li, G Han, X Wu, ZH Li, K Zhao, Z Zhang, Z Liu, C Liang Physics in Medicine & Biology 66 (5), 055030, 2021 | 24 | 2021 |
| Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma X Pan, H Lin, C Han, Z Feng, Y Wang, J Lin, B Qiu, L Yan, B Li, Z Xu, ... Iscience 25 (12), 2022 | 22 | 2022 |
| A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer Z Xu, Y Li, Y Wang, S Zhang, Y Huang, S Yao, C Han, X Pan, Z Shi, ... Cancer cell international 21, 1-12, 2021 | 20 | 2021 |
| Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics … X Yang, L Wu, K Zhao, W Ye, W Liu, Y Wang, J Li, H Li, X Huang, ... Chinese Journal of Cancer Research 32 (2), 175, 2020 | 19 | 2020 |
| Multi-tissue partitioning for whole slide images of colorectal cancer histopathology images with deeptissue net J Xu, C Cai, Y Zhou, B Yao, G Xu, X Wang, K Zhao, A Madabhushi, Z Liu, ... Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 16 | 2019 |
| MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study Z Xu, Y Ding, K Zhao, C Han, Z Shi, Y Cui, C Liu, H Lin, X Pan, P Li, ... European Radiology 32 (12), 8213-8225, 2022 | 15 | 2022 |
| Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer J Yang, H Ye, X Fan, Y Li, X Wu, M Zhao, Q Hu, Y Ye, L Wu, Z Li, X Zhang, ... Journal of Translational Medicine 20 (1), 451, 2022 | 13 | 2022 |
| Prediction models of colorectal cancer prognosis incorporating perioperative longitudinal serum tumor markers: a retrospective longitudinal cohort study C Li, K Zhao, D Zhang, X Pang, H Pu, M Lei, B Fan, J Lv, D You, Z Li, ... BMC medicine 21 (1), 63, 2023 | 12 | 2023 |
| Validation of breast cancer models for predicting the nonsentinel lymph node metastasis after a positive sentinel lymph node biopsy in a Chinese population P Wu, K Zhao, Y Liang, W Ye, Z Liu, C Liang Technology in Cancer Research & Treatment 17, 1533033818785032, 2018 | 12 | 2018 |
| The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control study Y Liang, Y Zhu, H Lin, S Zhang, S Li, Y Huang, C Liu, J Qu, C Liang, ... BMC Cancer 21 (1), 1-11, 2021 | 10 | 2021 |
| Preoperative prediction of intra-tumoral tertiary lymphoid structures based on CT in hepatocellular cancer P Li, Y Liang, B Zeng, G Yang, C Zhu, K Zhao, Z Xu, G Wang, C Han, H Ye, ... European Journal of Radiology 151, 110309, 2022 | 9 | 2022 |
| Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms Y Huang, C Li, D Shi, H Wang, X Shang, W Wang, X Zhang, X Zhang, ... EPMA Journal 14 (1), 73-86, 2023 | 8 | 2023 |
Zaiyi LiuDirector of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences在 gdph.org.cn 的电子邮件经过验证
