Yaning Feng

According to our database, Yaning Feng authored at least 16 papers between 2005 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Self-attention-based mixture-of-experts framework for non-invasive prediction of MGMT promoter methylation in glioblastoma using multi-modal MRI.

Yuehui Liao, Yun Zheng, Jingyu Zhu, Yu Chen, Feng Gao, Yaning Feng, Weiji Yang, Guang Yang, Xiaobo Lai, Panfei Li

Displays, 2026

Trans-MT: a 3D semi-supervised glioma segmentation model integrating transformer architecture and asymmetric data augmentation.

Yuehui Liao, Yun Zheng, Yingjie Jiao, Na Tang, Yuhao Wang, Yu Hu, Yaning Feng, Ruofan Wang, Qun Jin, Xiaobo Lai, Panfei Li

Displays, 2026

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

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

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

2024

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

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

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

CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing.

Zhaorun Zhou, Zhenghao Shi, Mingtao Guo, Yaning Feng, Minghua Zhao

CoRR, 2020

2019

A deep CNN based transfer learning method for false positive reduction.

Zhenghao Shi, Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki

Multim. Tools Appl., 2019

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

2018

Multi-stage filtering for single rainy image enhancement.

Zhenghao Shi, Yaowei Li, Minghua Zhao, Yaning Feng, Lifeng He

IET Image Process., 2018

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

2014

A patient-centered tumor tissue information management system.

Liying Song, Fang Liu, Yaning Feng, Huilong Duan, Ning Deng

Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

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

Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2005

Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing.

Zhenghao Shi, Yaning Feng, Linhua Zhang, Shitan Huang

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005