| Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer D Dong, L Tang, ZY Li, MJ Fang, JB Gao, XH Shan, XJ Ying, YS Sun, J Fu, ... Annals of Oncology 30 (3), 431-438, 2019 | 376 | 2019 |
| Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre … L Feng, Z Liu, C Li, Z Li, X Lou, L Shao, Y Wang, Y Huang, H Chen, ... The Lancet Digital Health 4 (1), e8-e17, 2022 | 190 | 2022 |
| Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer Z Liu, X Meng, H Zhang, Z Li, J Liu, K Sun, Y Meng, W Dai, P Xie, Y Ding, ... Nature communications 11 (1), 4308, 2020 | 136 | 2020 |
| 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 | 114 | 2020 |
| Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study S Wang, H Yu, Y Gan, Z Wu, E Li, X Li, J Cao, Y Zhu, L Wang, H Deng, ... The Lancet Digital Health 4 (5), e309-e319, 2022 | 109 | 2022 |
| A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: a multicenter cohort study Y Cui, J Zhang, Z Li, K Wei, Y Lei, J Ren, L Wu, Z Shi, X Meng, X Yang, ... EClinicalMedicine 46, 2022 | 104 | 2022 |
| Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study X Liu, D Zhang, Z Liu, Z Li, P Xie, K Sun, W Wei, W Dai, Z Tang, Y Ding, ... EBioMedicine 69, 2021 | 81 | 2021 |
| Hover-trans: Anatomy-aware hover-transformer for roi-free breast cancer diagnosis in ultrasound images Y Mo, C Han, Y Liu, M Liu, Z Shi, J Lin, B Zhao, C Huang, B Qiu, Y Cui, ... IEEE Transactions on Medical Imaging 42 (6), 1696-1706, 2023 | 77 | 2023 |
| Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: a pilot study Z Li, D Zhang, Y Dai, J Dong, L Wu, Y Li, Z Cheng, Y Ding, Z Liu Chinese Journal of Cancer Research 30 (4), 406, 2018 | 62 | 2018 |
| Multiparametric MRI and whole slide image-based pretreatment prediction of pathological response to neoadjuvant chemoradiotherapy in rectal cancer: a multicenter radiopathomic … L Shao, Z Liu, L Feng, X Lou, Z Li, XY Zhang, X Wan, X Zhou, K Sun, ... Annals of surgical oncology 27, 4296-4306, 2020 | 51 | 2020 |
| Early prediction of treatment response to neoadjuvant chemotherapy based on longitudinal ultrasound images of HER2-positive breast cancer patients by Siamese multi-task network … Y Liu, Y Wang, Y Wang, Y Xie, Y Cui, S Feng, M Yao, B Qiu, W Shen, ... EClinicalMedicine 52, 2022 | 44 | 2022 |
| 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), e110, 2020 | 44 | 2020 |
| Trajectories of perioperative serum tumor markers and colorectal cancer outcomes: A retrospective, multicenter longitudinal cohort study C Li, D Zhang, X Pang, H Pu, M Lei, B Fan, J Lv, D You, Z Li, T Zhang EBioMedicine 74, 2021 | 37 | 2021 |
| 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 | 35 | 2022 |
| 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 | 27 | 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 | 26 | 2022 |
| A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework J Zhang, Z Cui, Z Shi, Y Jiang, Z Zhang, X Dai, Z Yang, Y Gu, L Zhou, ... Patterns 4 (9), 2023 | 25 | 2023 |
| 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 | 25 | 2023 |
| 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 | 25 | 2021 |
| 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 |
Zaiyi LiuDirector of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesVerifisert e-postadresse på gdph.org.cn
