Zhenyuan Ning

30 papers A* 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Guided cross-modality network for nasopharyngeal carcinoma tumor segmentation.
Biomed. Signal Process. Control.
Lianzheng Yu, Zhenyuan Ning, Yu Zhang, Shujun Liang
2026 J jnl
Knowledge-Prompted Trustworthy Disentangled Learning for Thyroid Ultrasound Segmentation With Limited Annotations.
IEEE Trans. Image Process.
Wenxu Wang, Weizhen Wang, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
Cross-view discrepancy-dependency network for volumetric medical image segmentation.
Medical Image Anal.
Shengzhou Zhong, Wenxu Wang, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images.
Eng. Appl. Artif. Intell.
Zhenyuan Ning, Yixiao Mao, Xiaotong Xu, Qianjin Feng, Shengzhou Zhong, Yu Zhang
2025 J jnl
DCMIL: A Progressive Representation Learning of Whole Slide Images for Cancer Prognosis Analysis.
CoRR
Chao Tu, Kun Huang, Jie Zhang, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages.
Medical Image Anal.
Haozhe Xu, Jian Wang, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
Interpretable deep fuzzy network-aided detection of central lymph node metastasis status in papillary thyroid carcinoma.
Int. J. Comput. Assist. Radiol. Surg.
Wenxu Wang, Zhenyuan Ning, Jifan Zhang, Yu Zhang, Weizhen Wang
2025 J jnl
Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images.
Medical Image Anal.
Yixiao Mao, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2025 J jnl
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression.
IEEE Trans. Pattern Anal. Mach. Intell.
Qing Xiao, Guiying Liu, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2024 J jnl
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques.
Comput. Medical Imaging Graph.
Tao Zhong, Ya Wang, Xiaotong Xu, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Gang Li, Yu Zhang
2024 J jnl
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data.
Expert Syst. Appl.
Denghui Du, Qianjin Feng, Wufan Chen, Zhenyuan Ning, Yu Zhang
2024 J jnl
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species.
NeuroImage
Tao Zhong, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Shihua Yang, Zhuang Kang, Qianjin Feng, Gang Li, Yu Zhang
2023 J jnl
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data.
Briefings Bioinform.
Zhangxin Zhao, Qianjin Feng, Yu Zhang, Zhenyuan Ning
2023 J jnl
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images.
CoRR
Zhenyuan Ning, Yixiao Mao, Qianjin Feng, Shengzhou Zhong, Yu Zhang
2023 J jnl
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.
IEEE Trans. Neural Networks Learn. Syst.
Zhenyuan Ning, Zehui Lin, Qing Xiao, Denghui Du, Qianjin Feng, Wufan Chen, Yu Zhang
2023 J jnl
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhenyuan Ning, Zhangxin Zhao, Qianjin Feng, Wufan Chen, Qing Xiao, Yu Zhang
2022 A* conf
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images.
NeurIPS
Chao Tu, Yu Zhang, Zhenyuan Ning
2022 J jnl
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data.
IEEE Trans. Medical Imaging
Zhenyuan Ning, Denghui Du, Chao Tu, Qianjin Feng, Yu Zhang
2022 J jnl
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image.
IEEE Trans. Medical Imaging
Zhenyuan Ning, Shengzhou Zhong, Qianjin Feng, Wufan Chen, Yu Zhang
2021 J jnl
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage
Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li
2021 J jnl
Deep cross-view co-regularized representation learning for glioma subtype identification.
Medical Image Anal.
Zhenyuan Ning, Chao Tu, Xiaohui Di, Qianjin Feng, Yu Zhang
2021 J jnl
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Zhenyuan Ning, Qing Xiao, Qianjin Feng, Wufan Chen, Yu Zhang
2020 J jnl
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation.
CoRR
Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang
2020 — conf
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
MICCAI (7)
Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li
2020 J jnl
Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma.
Bioinform.
Zhenyuan Ning, Weihao Pan, Yuting Chen, Qing Xiao, Xinsen Zhang, Jiaxiu Luo, Jian Wang, Yu Zhang
2020 — conf
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
MICCAI (7)
Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen
2020 — conf
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.
MLMI@MICCAI
Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen
2020 — conf
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images.
MICCAI (6)
Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang
2019 J jnl
Multiscale Context-Cascaded Ensemble Framework (MsC
IEEE Access
Zhenyuan Ning, Xinsen Zhang, Chao Tu, Qianjin Feng, Yu Zhang
2019 J jnl
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.
IEEE J. Biomed. Health Informatics
Zhenyuan Ning, Jiaxiu Luo, Yong Li, Shuai Han, Qianjin Feng, Yikai Xu, Wufan Chen, Tao Chen, Yu Zhang