Chunli L. Kong

289 Kuocang Road
Lishui, 323000, China

Last Updated: 09/26/2026

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Found 29 publications

MRI-based deep learning model for early TACE response prediction in HCC: multicenter validation with biological insights.

MRI-based deep learning model for early TACE response prediction in HCC: multicenter validation with biological insights.

Journal: BMC cancer

Published: June 19, 2025

CT radiomics approach to predict response to bronchial arterial chemoembolization in advanced lung cancer by multicenter study.

CT radiomics approach to predict response to bronchial arterial chemoembolization in advanced lung cancer by multicenter study.

Journal: Scientific reports

Published: May 11, 2025

MAZ Coordinates With HDAC1 to Promote Hepatocarcinoma Proliferation and Metastasis Through Transcriptional Repression of CSK.

MAZ Coordinates With HDAC1 to Promote Hepatocarcinoma Proliferation and Metastasis Through Transcriptional Repression of CSK.

Journal: Molecular carcinogenesis

Published: March 16, 2025

Development and Validation of a Pathomics-Based Prognostic Model for Patients with Lung Adenocarcinoma Undergoing First-Line EGFR-TKI Therapy.

Development and Validation of a Pathomics-Based Prognostic Model for Patients with Lung Adenocarcinoma Undergoing First-Line EGFR-TKI Therapy.

Journal: Annals of surgical oncology

Published: January 25, 2025

Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study.

Intratumoral and peritumoral CT radiomics in predicting anaplastic lymphoma kinase mutations and survival in patients with lung adenocarcinoma: a multicenter study.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: October 27, 2024

Glycerophospholipid-driven lipid metabolic reprogramming as a common key mechanism in the progression of human primary hepatocellular carcinoma and cholangiocarcinoma.

Glycerophospholipid-driven lipid metabolic reprogramming as a common key mechanism in the progression of human primary hepatocellular carcinoma and cholangiocarcinoma.

Journal: Lipids in health and disease

Published: July 18, 2024

Dual-energy computed tomography for predicting histological grading and survival in patients with pancreatic ductal adenocarcinoma.

Dual-energy computed tomography for predicting histological grading and survival in patients with pancreatic ductal adenocarcinoma.

Journal: European radiology

Published: May 09, 2024

Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.

Dual-energy computed tomography for predicting cervical lymph node metastasis in laryngeal squamous cell carcinoma.

Journal: Heliyon

Published: March 18, 2024

Machine Learning Radiomics-Based Prediction of Non-sentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with 1-2 Positive Sentinel Lymph Nodes: A Multicenter Study.

Machine Learning Radiomics-Based Prediction of Non-sentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with 1-2 Positive Sentinel Lymph Nodes: A Multicenter Study.

Journal: Academic radiology

Published: December 07, 2023

Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.

Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.

Journal: BMC cancer

Published: December 03, 2023

Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3.

Predictive Models for Colon Adenocarcinoma Diagnosis, Prognosis, and Immune Microenvironment Based on 2 Hypoxia-Related Genes: KDM3A and ENO3.

Journal: Technology in cancer research & treatment

Published: August 31, 2023

Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study.

Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study.

Journal: EClinicalMedicine

Published: June 02, 2023

Showing 1-12 of 29

Last Updated: 09/26/2026