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Liebin Huang

Showing results (11-20 of 18) with videos related to

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Radiology. Imaging Cancer|April 24, 2026
Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric CancerYueyue Li, Ximiao Wang, Qiuying Chen, et al.
Journal for Immunotherapy of Cancer|August 4, 2025
Immunophenotype-guided interpretable radiomics model for predicting neoadjuvant anti-PD-1 response in stage III-IV d-MMR/MSI-H colorectal cancerYiwen Zhang, Xuan Zhang, Xi Zhong, et al.
Journal of Gastroenterology and Hepatology|December 27, 2024
A Transfer Learning Radiomics Nomogram to Predict the Postoperative Recurrence of Advanced Gastric CancerLiebin Huang, Bao Feng, Zhiqi Yang, et al.
Frontiers in Oncology|January 1, 2026
Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergyZijun Huang, Bao Feng, Yehang Chen, et al.
Nature Communications|January 25, 2024
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrenceBao Feng, Jiangfeng Shi, Liebin Huang, et al.
Frontiers in Oncology|September 20, 2021
Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical ResectionLiebin Huang, Bao Feng, Yueyue Li, et al.
Frontiers in Oncology|January 28, 2022
A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric LymphomaBao Feng, Liebin Huang, Yu Liu, et al.
Frontiers in Oncology|July 14, 2023
Development of a CT image analysis-based scoring system to differentiate gastric schwannomas from gastrointestinal stromal tumorsSheng Zhang, Zhiqi Yang, Xiaofeng Chen, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
Radiology. Imaging Cancer|April 24, 2026
Deep Learning Model Based on Tumor and Visceral Adipose Tissue CT Features for Predicting Peritoneal Metastasis Risk after Radical Gastrectomy in Serosa-Invasive Gastric CancerYueyue Li, Ximiao Wang, Qiuying Chen, et al.
Journal for Immunotherapy of Cancer|August 4, 2025
Immunophenotype-guided interpretable radiomics model for predicting neoadjuvant anti-PD-1 response in stage III-IV d-MMR/MSI-H colorectal cancerYiwen Zhang, Xuan Zhang, Xi Zhong, et al.
Journal of Gastroenterology and Hepatology|December 27, 2024
A Transfer Learning Radiomics Nomogram to Predict the Postoperative Recurrence of Advanced Gastric CancerLiebin Huang, Bao Feng, Zhiqi Yang, et al.
Frontiers in Oncology|January 1, 2026
Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergyZijun Huang, Bao Feng, Yehang Chen, et al.
Nature Communications|January 25, 2024
Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrenceBao Feng, Jiangfeng Shi, Liebin Huang, et al.
Frontiers in Oncology|September 20, 2021
Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical ResectionLiebin Huang, Bao Feng, Yueyue Li, et al.
Frontiers in Oncology|January 28, 2022
A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric LymphomaBao Feng, Liebin Huang, Yu Liu, et al.
Frontiers in Oncology|July 14, 2023
Development of a CT image analysis-based scoring system to differentiate gastric schwannomas from gastrointestinal stromal tumorsSheng Zhang, Zhiqi Yang, Xiaofeng Chen, et al.
Pageof 2