Yan Qiang
North University of China(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, AI in cancer detection, COVID-19 diagnosis using AI, Gene expression and cancer classification
Most-Cited Works
- → MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic data(2019)33 cited
- → DAS-Net: A lung nodule segmentation method based on adaptive dual-branch attention and shadow mapping(2022)21 cited
- → Screening for Mild Cognitive Impairment with Speech Interaction Based on Virtual Reality and Wearable Devices(2023)19 cited
- → MLW-gcForest: A Multi-Weighted gcForest Model for Cancer Subtype Classification by Methylation Data(2019)17 cited
- → Tourism Growth Prediction Based on Deep Learning Approach(2021)15 cited
- → MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data(2022)15 cited
- → Deep learning-based lung cancer classification of CT images(2025)15 cited
- → Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image–gene data(2023)14 cited
- → Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening(2023)14 cited
- → Automated Lung Nodule Segmentation Using an Active Contour Model Based on PET/CT Images(2015)13 cited