Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study-Reference-Cited by-同舟云学术

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Computed tomography-based radiomics for prediction of neoadjuvant chemotherapy outcomes in locally advanced gastric cancer: A pilot study

Published:2018 Issue:4 Volume:30 Page:406-414
ISSN:1000-9604
Container-title:Chinese Journal of Cancer Research
language:en
Short-container-title:

Author:

Li Zhenhui, ,Zhang Dafu,Dai Youguo,Dong Jian,Wu Lin,Li Yajun,Cheng Zixuan,Ding Yingying,Liu Zaiyi, , , ,

Publisher

Chinese Journal of Cancer Research

Subject

Cancer Research,Oncology

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating Tumor and Nodal Radiomics to Predict the Response to Neoadjuvant Chemotherapy and Recurrence Risk for Locally Advanced Gastric Cancer;Current Medical Imaging Reviews;2024-07-11

2. Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients;Abdominal Radiology;2024-05-26

3. Integrative analysis of bioinformatics and machine learning to identify cuprotosis-related biomarkers and immunological characteristics in heart failure;Frontiers in Cardiovascular Medicine;2024-03-18

4. Multiregional radiomics nomogram for postoperative recurrence risk stratification in localized clear cell renal cell carcinoma;2024-03-07

5. Intratumoral and peritumoral radiomics predict pathological response after neoadjuvant chemotherapy against advanced gastric cancer;Insights into Imaging;2024-01-25

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