Liye Jia
Taiyuan Normal University(CN)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Cancer-related molecular mechanisms research, COVID-19 diagnosis using AI
Most-Cited Works
- → Exploration of the prognostic signature reflecting tumor microenvironment of lung adenocarcinoma based on immunologically relevant genes(2021)21 cited
- → FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data(2023)19 cited
- → DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer(2023)14 cited
- → Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image–gene data(2023)14 cited
- → Improved heterogeneous data fusion and multi‐scale feature selection method for lung cancer subtype classification(2021)9 cited
- → Unsupervised domain adaptation using modified cycle generative adversarial network for aerial image classification(2022)7 cited
- → DADFN: dynamic adaptive deep fusion network based on imaging genomics for prediction recurrence of lung cancer(2023)7 cited
- → Weakly supervised label propagation algorithm classifies lung cancer imaging subtypes(2023)5 cited
- → A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction(2023)4 cited
- → Integrating image and gene-data with a semi-supervised attention model for prediction of KRAS gene mutation status in non-small cell lung cancer(2024)4 cited