Zhenyuan Ning

Orcid: 0000-0001-7204-1790

According to our database1, Zhenyuan Ning authored at least 22 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Cross-view discrepancy-dependency network for volumetric medical image segmentation.
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

Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images.
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


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