Zhenyuan Ning
Orcid: 0000-0001-7204-1790
According to our database1,
Zhenyuan Ning
authored at least 24 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2025
Medical Image Anal., 2025
Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images.
Medical Image Anal., 2025
2024
nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species.
NeuroImage, 2024
Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data.
Expert Syst. Appl., 2024
A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques.
Comput. Medical Imaging Graph., 2024
2023
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data.
Briefings Bioinform., January, 2023
CoRR, 2023
2022
SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image.
IEEE Trans. Medical Imaging, 2022
Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data.
IEEE Trans. Medical Imaging, 2022
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, 2021
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021
Deep cross-view co-regularized representation learning for glioma subtype identification.
Medical Image Anal., 2021
2020
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation.
CoRR, 2020
Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma.
Bioinform., 2020
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features.
IEEE J. Biomed. Health Informatics, 2019
Multiscale Context-Cascaded Ensemble Framework (MsC<sup>2</sup>EF): Application to Breast Histopathological Image.
IEEE Access, 2019