Yaning Feng

16 papers Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Self-attention-based mixture-of-experts framework for non-invasive prediction of MGMT promoter methylation in glioblastoma using multi-modal MRI.
Displays
Yuehui Liao, Yun Zheng, Jingyu Zhu, Yu Chen, Feng Gao, Yaning Feng, Weiji Yang, Guang Yang, Xiaobo Lai, Panfei Li
2026 J jnl
Trans-MT: a 3D semi-supervised glioma segmentation model integrating transformer architecture and asymmetric data augmentation.
Displays
Yuehui Liao, Yun Zheng, Yingjie Jiao, Na Tang, Yuhao Wang, Yu Hu, Yaning Feng, Ruofan Wang, Qun Jin, Xiaobo Lai, Panfei Li
2025 J jnl
A systematic review and meta-analysis of deep learning and radiomics in predicting MGMT promoter methylation status in glioblastoma: Efficacy, reliability, and clinical implications.
Displays
Yu Chen, Yuehui Liao, Panfei Li, Wei Jin, Jingwan Fang, Junwei Huang, Yaning Feng, Changxiong Xie, Ruipeng Li, Qun Jin, Xiaobo Lai
2025 J jnl
Fully Automated Mandibular Condyle Segmentation: More Detailed Extraction With Hybrid Customized SAM.
Int. J. Imaging Syst. Technol.
Zihang Huang, Yaning Feng, Lilin Guo, Qiutao Shi, Wei Jin
2025 J jnl
Sequential attention and edge-guided pooling for intracranial aneurysm segmentation in point clouds.
J. Electronic Imaging
Suzhen He, Junwei Huang, Yaning Feng, Zhiyuan Liu, Panfei Li, Lilin Guo
2024 J jnl
Estimation of causal effects of genes on complex traits using a Bayesian-network-based framework applied to GWAS data.
Nat. Mac. Intell.
Liangying Yin, Yaning Feng, Yujia Shi, Alexandria Lau, Jinghong Qiu, Pak Chung Sham, Hon-Cheong So
2020 J jnl
A joint deep neural networks-based method for single nighttime rainy image enhancement.
Neural Comput. Appl.
Zhenghao Shi, Yaning Feng, Minghua Zhao, Lifeng He
2020 J jnl
CGGAN: A Context Guided Generative Adversarial Network For Single Image Dehazing.
CoRR
Zhaorun Zhou, Zhenghao Shi, Mingtao Guo, Yaning Feng, Minghua Zhao
2020 J jnl
Normalised gamma transformation-based contrast-limited adaptive histogram equalisation with colour correction for sand-dust image enhancement.
IET Image Process.
Zhenghao Shi, Yaning Feng, Minghua Zhao, Erhu Zhang, Lifeng He
2019 J jnl
A deep CNN based transfer learning method for false positive reduction.
Multim. Tools Appl.
Zhenghao Shi, Huan Hao, Minghua Zhao, Yaning Feng, Lifeng He, Yinghui Wang, Kenji Suzuki
2019 J jnl
Let You See in Sand Dust Weather: A Method Based on Halo-Reduced Dark Channel Prior Dehazing for Sand-Dust Image Enhancement.
IEEE Access
Zhenghao Shi, Yaning Feng, Minghua Zhao, Erhu Zhang, Lifeng He
2018 J jnl
Multi-stage filtering for single rainy image enhancement.
IET Image Process.
Zhenghao Shi, Yaowei Li, Minghua Zhao, Yaning Feng, Lifeng He
2018 J jnl
Weighted median guided filtering method for single image rain removal.
EURASIP J. Image Video Process.
Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng, Bo Jiang
2014 — conf
A patient-centered tumor tissue information management system.
BMEI
Liying Song, Fang Liu, Yaning Feng, Huilong Duan, Ning Deng
2014 — conf
Quantitative measurement of clinic-genomic association for colorectal cancer using literature mining and Google-distance algorithm.
BMEI
Yaning Feng, Ling Zheng, Liying Song, Huilong Duan, Ning Deng
2005 — conf
Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing.
ISNN (2)
Zhenghao Shi, Yaning Feng, Linhua Zhang, Shitan Huang