Kunwei W. Li

NO.52 Meihuadong Street
Zhuhai, 519000, China

Last Updated: 09/26/2026

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Found 45 publications

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Journal: Frontiers in oncology

Published: February 07, 2026

Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergy.

Risk stratification for early-stage NSCLC progression: a federated learning framework with large-small model synergy.

Journal: Frontiers in oncology

Published: October 06, 2025

A generalized heterogeneous federated model for identifying patients with postoperative progression of early-stage non-small cell lung cancer.

A generalized heterogeneous federated model for identifying patients with postoperative progression of early-stage non-small cell lung cancer.

Journal: Scientific reports

Published: August 26, 2025

A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Journal: Frontiers in oncology

Published: July 16, 2025

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

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

Published: May 20, 2025

Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung Adenocarcinoma.

Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung Adenocarcinoma.

Journal: Academic radiology

Published: January 09, 2025

Deep residual network fusing CT images and clinical variables to predict lung adenocarcinoma aggressiveness.

Deep residual network fusing CT images and clinical variables to predict lung adenocarcinoma aggressiveness.

Journal: BMC medical imaging

Published: November 29, 2024

An integrative pan-cancer analysis of the molecular characteristics of dietary restriction in tumour microenvironment.

An integrative pan-cancer analysis of the molecular characteristics of dietary restriction in tumour microenvironment.

Journal: EBioMedicine

Published: November 14, 2023

Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study.

Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study.

Journal: International journal of radiation oncology, biology, physics

Published: November 02, 2023

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Journal: Annals of surgical oncology

Published: August 30, 2023

Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.

Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.

Journal: La Radiologia medica

Published: July 28, 2023

A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma.

A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma.

Journal: iScience

Published: July 14, 2023

Showing 1-12 of 45

Last Updated: 09/26/2026