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Zhenhui Li
Zhenhui Li
the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer
在 kmmu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
3492019
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
1252022
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
1172020
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
912020
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
802022
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
682022
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
632021
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
622018
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
412020
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
412020
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
312023
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
252019
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
242021
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
232022
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
222021
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
212022
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
212022
CT-based radiomics analysis in the prediction of response to neoadjuvant chemotherapy in locally advanced gastric cancer: A dual-center study
R Song, Y Cui, J Ren, J Zhang, Z Yang, D Li, Z Li, X Yang
Radiotherapy and Oncology 171, 155-163, 2022
202022
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
202021
Role of CT scan in differentiating the type of colorectal cancer
ZH Li, DY You, DP Gao, GJ Yang, XX Dong, DF Zhang, YY Ding
OncoTargets and therapy, 2297-2303, 2017
162017
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