Zhenyuan Ning

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Disease Progression

Survival Analysis

Ultrasound Images

Top Venues

IEEE Trans. Medical Imaging

Publications

Tao Zhong, Ya Wang, Xiaotong Xu, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Gang Li, Yu Zhang
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. Comput. Medical Imaging Graph. 116 (2024)
Tao Zhong, Xueyang Wu, Shujun Liang, Zhenyuan Ning, Li Wang, Yuyu Niu, Shihua Yang, Zhuang Kang, Qianjin Feng, Gang Li, Yu Zhang
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. NeuroImage 295 (2024)
Denghui Du, Qianjin Feng, Wufan Chen, Zhenyuan Ning, Yu Zhang
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data. Expert Syst. Appl. 239 (2024)
Zhangxin Zhao, Qianjin Feng, Yu Zhang, Zhenyuan Ning
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data. Briefings Bioinform. 24 (1) (2023)
Zhenyuan Ning, Zhangxin Zhao, Qianjin Feng, Wufan Chen, Qing Xiao, Yu Zhang
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zhenyuan Ning, Yixiao Mao, Qianjin Feng, Shengzhou Zhong, Yu Zhang
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. CoRR (2023)
Zhenyuan Ning, Zehui Lin, Qing Xiao, Denghui Du, Qianjin Feng, Wufan Chen, Yu Zhang
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Chao Tu, Yu Zhang, Zhenyuan Ning
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images. NeurIPS (2022)
Zhenyuan Ning, Denghui Du, Chao Tu, Qianjin Feng, Yu Zhang
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data. IEEE Trans. Medical Imaging 41 (1) (2022)
Zhenyuan Ning, Shengzhou Zhong, Qianjin Feng, Wufan Chen, Yu Zhang
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image. IEEE Trans. Medical Imaging 41 (2) (2022)
Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, Gang Li
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. NeuroImage 227 (2021)
Zhenyuan Ning, Chao Tu, Xiaohui Di, Qianjin Feng, Yu Zhang
Deep cross-view co-regularized representation learning for glioma subtype identification. Medical Image Anal. 73 (2021)
Zhenyuan Ning, Qing Xiao, Qianjin Feng, Wufan Chen, Yu Zhang
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 40 (6) (2021)
Zhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images. MICCAI (6) (2020)
Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. MLMI@MICCAI (2020)
Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. MICCAI (7) (2020)
Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. CoRR (2020)
Zhenyuan Ning, Weihao Pan, Yuting Chen, Qing Xiao, Xinsen Zhang, Jiaxiu Luo, Jian Wang, Yu Zhang
Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma. Bioinform. 36 (9) (2020)
Tao Zhong, Yu Zhang, Fenqiang Zhao, Yuchen Pei, Lufan Liao, Zhenyuan Ning, Li Wang, Dinggang Shen, Gang Li
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. MICCAI (7) (2020)
Zhenyuan Ning, Jiaxiu Luo, Yong Li, Shuai Han, Qianjin Feng, Yikai Xu, Wufan Chen, Tao Chen, Yu Zhang
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Zhenyuan Ning, Xinsen Zhang, Chao Tu, Qianjin Feng, Yu Zhang
EF): Application to Breast Histopathological Image. IEEE Access 7 (2019)