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Zhenyuan Ning
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2020 – today
- 2024
- [j14]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: 102404 (2024) - [j13]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: 122430 (2024) - [j12]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: 120652 (2024) - 2023
- [j11]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) - [j10]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): 7577-7594 (2023) - [j9]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): 3737-3750 (2023) - [i2]Zhenyuan Ning, Yixiao Mao, Qianjin Feng, Shengzhou Zhong, Yu Zhang:
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images. CoRR abs/2308.00947 (2023) - 2022
- [j8]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): 186-198 (2022) - [j7]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): 476-490 (2022) - [c5]Chao Tu, Yu Zhang, Zhenyuan Ning:
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images. NeurIPS 2022 - 2021
- [j6]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: 102160 (2021) - [j5]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: 117649 (2021) - [j4]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): 1632-1645 (2021) - 2020
- [j3]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): 2888-2895 (2020) - [c4]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: 22-32 - [c3]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: 170-179 - [c2]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: 171-180 - [c1]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: 583-592 - [i1]Zhenyuan Ning, Ke Wang, Shengzhou Zhong, Qianjin Feng, Yu Zhang:
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation. CoRR abs/2003.10144 (2020)
2010 – 2019
- 2019
- [j2]Zhenyuan Ning
, Xinsen Zhang, Chao Tu, Qianjin Feng, Yu Zhang:
Multiscale Context-Cascaded Ensemble Framework (MsC2EF): Application to Breast Histopathological Image. IEEE Access 7: 150910-150923 (2019) - [j1]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): 1181-1191 (2019)
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last updated on 2024-08-05 21:13 CEST by the dblp team
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