Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing. - Zhenghao Shi; Yaning Feng; Linhua Zhang; Shitan Huang (ISNN (2), 2005)

Quantitative measurement of clinic-genomic association for colorectal cancer using literature mining and Google-distance algorithm. - Yaning Feng; Ling Zheng; Liying Song; Huilong Duan; Ning Deng 001 (BMEI, 2014)

A patient-centered tumor tissue information management system. - Liying Song; Fang Liu; Yaning Feng; Huilong Duan; Ning Deng 001 (BMEI, 2014)

Weighted median guided filtering method for single image rain removal. - Zhenghao Shi; Yaowei Li; Changqing Zhang; Minghua Zhao; Yaning Feng; Bo Jiang (EURASIP J. Image Video Process., 2018)

Multi-stage filtering for single rainy image enhancement. - Zhenghao Shi; Yaowei Li; Minghua Zhao; Yaning Feng; Lifeng He (IET Image Process., 2018)

Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement. - Zhenghao Shi; Yaning Feng; Minghua Zhao; Erhu Zhang; Lifeng He (IEEE Access, 2019)

A deep CNN based transfer learning method for false positive reduction. - Zhenghao Shi; Huan Hao; Minghua Zhao; Yaning Feng; Lifeng He; Yinghui Wang 001; Kenji Suzuki 001 (Multim. Tools Appl., 2019)

CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing. - Zhaorun Zhou; Zhenghao Shi; Mingtao Guo; Yaning Feng; Minghua Zhao (CoRR, 2020)

Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand-dust image enhancement. - Zhenghao Shi; Yaning Feng; Minghua Zhao; Erhu Zhang; Lifeng He (IET Image Process., 2020)

A joint deep neural networks-based method for single nighttime rainy image enhancement. - Zhenghao Shi; Yaning Feng; Minghua Zhao; Lifeng He (Neural Comput. Appl., 2020)

Estimation of causal effects of genes on complex traits using a Bayesian-network-based framework applied to GWAS data. - Liangying Yin; Yaning Feng; Yujia Shi; Alexandria Lau; Jinghong Qiu; Pak Chung Sham; Hon-Cheong So (Nat. Mac. Intell., 2024)

A systematic review and meta-analysis of deep learning and radiomics in predicting MGMT promoter methylation status in glioblastoma: Efficacy, reliability, and clinical implications. - Yu Chen; Yuehui Liao; Panfei Li; Wei Jin; Jingwan Fang; Junwei Huang; Yaning Feng; Changxiong Xie; Ruipeng Li; Qun Jin; Xiaobo Lai (Displays, 2025)

Fully Automated Mandibular Condyle Segmentation: More Detailed Extraction With Hybrid Customized SAM. - Zihang Huang; Yaning Feng; Lilin Guo; Qiutao Shi; Wei Jin (Int. J. Imaging Syst. Technol., 2025)

Sequential attention and edge-guided pooling for intracranial aneurysm segmentation in point clouds. - Suzhen He; Junwei Huang; Yaning Feng; Zhiyuan Liu; Panfei Li; Lilin Guo (J. Electronic Imaging, 2025)