Yu Zhang
Orcid: 0000-0001-8456-7335Affiliations:
- Southern Medical University, School of Biomedical Engineering, Guangzhou, China
According to our database1,
Yu Zhang
authored at least 30 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A progressive framework for tooth and substructure segmentation from cone-beam CT images.
Comput. Biol. Medicine, February, 2024
Margin-Maximized Norm-Mixed Representation Learning for Autism Spectrum Disorder Diagnosis With Multi-Level Flux Features.
IEEE Trans. Biomed. Eng., January, 2024
Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 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
MsGoF: Breast lesion classification on ultrasound images by multi-scale gradational-order fusion framework.
Comput. Methods Programs Biomed., March, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.
NeuroImage, 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
IEEE Trans. Medical Imaging, 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
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images.
IEEE Trans. Medical Imaging, 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
IEEE Access, 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
2019
Correlation-Weighted Sparse Representation for Robust Liver DCE-MRI Decomposition Registration.
IEEE Trans. Medical Imaging, 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
2016
Comput. Aided Geom. Des., 2016
2014
NeuroImage, 2014
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013