1. Progression-Free Survival Prediction in Small Cell Lung Cancer Based on Radiomics Analysis of Contrast-Enhanced CT
   Ningxin Chen et al, 2022, Frontiers in Medicine CrossRef
2. Application of radiomics in diagnosis and treatment of lung cancer
   Feng Pan et al, 2023, Frontiers in Pharmacology CrossRef
3. Radiotranscriptomics of non-small cell lung carcinoma for assessing high-level clinical outcomes using a machine learning-derived multi-modal signature
   Eleftherios Trivizakis et al, 2023, BioMedical Engineering OnLine CrossRef
4. Lung Cancer Detection Based on Kernel PCA-Convolution Neural Network Feature Extraction and Classification by Fast Deep Belief Neural Network in Disease Management Using Multimedia Data Sources
   Deepak Kumar Jain et al, 2022, Computational Intelligence and Neuroscience CrossRef
5. Artificial Intelligence in Lung Cancer Imaging: From Data to Therapy
   Michaela Cellina et al, 2024, Critical Reviews™ in Oncogenesis CrossRef
6. HSN: Hybrid Segmentation Network for Small Cell Lung Cancer Segmentation
   Wei Chen et al, 2019, IEEE Access CrossRef
7. Integrating Radiomics with Genomics for Non-Small Cell Lung Cancer Survival Analysis
   Wei Chen et al, 2022, Journal of Oncology CrossRef
8. CT radiomics model combined with clinical and radiographic features for discriminating peripheral small cell lung cancer from peripheral lung adenocarcinoma
   Jingting Wang et al, 2023, Frontiers in Oncology CrossRef
9. AI-Enable Machine Learning for Lung Cancer Prediction and Classification
   Kamred Udham Singh et al, 2023, 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) CrossRef
10. Precise prediction of the sensitivity of platinum chemotherapy in SCLC: Establishing and verifying the feasibility of a CT-based radiomics nomogram
    Yanping Su et al, 2023, Frontiers in Oncology CrossRef
11. Research progress of radiomics and artificial intelligence in lung cancer
    Xiang Wang et al, 2023, Chinese Journal of Academic Radiology CrossRef