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Ning Zhenyuan
Biomedical Engineering
Southern Medical University
Guangdong
Language: English, Chinese
Cancer Prognosis
Brain Diseases
Ultrasound
Intelligent Algorithms
Clinical Applications
Image Analysis
Survival Analysis
Diagnosis
Medical Imaging
Biomedical Engineering
Areas of Focus
- Medical image analysis and survival analysis
Work Experience
- 2023.09-present - Southern Medical University - Associate Professor
Academic Background & Achievements
- 2014.09-2018.06 Bachelor: Southern Medical University, Biomedical Engineering
- 2019.11-2020.07 Visiting Scholar: University of North Carolina at Chapel Hill
- 2018.09-2023.06 Doctorate: Southern Medical University, Biomedical Engineering
Publications
- Mutual-assistance Learning for Standalone Mono-modality Survival Analysis of Human Cancers, Ning Z, et al., 2023
- Multi-constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data, Ning Z, et al., 2023
- Deep Cross-view Co-regularized Representation Learning for Glioma Subtype Identification, Ning Z, et al., 2021
- Relation-induced Multi-modal Shared Representation Learning for Alzheimer’s Disease Diagnosis, Ning Z#, Xiao Q#, et al., 2021
- SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image, Ning Z#, Zhong S#, et al., 2022
- Relation-aware Shared Representation Learning for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-modality Data, Ning Z#, Du D#, et al., 2022
- Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features, Ning Z, et al., 2019
- Adaptive Risk-aware Sharable and Individual Subspace Learning for Cancer Survival Analysis with Multi-modality Data, Zhao Z, Feng Q, Zhang Y*, Ning Z*., 2023
- Integrative Analysis of Cross-modal Features for the Prognosis Prediction of Clear Cell Renal Cell Carcinoma, Ning Z#, Pan W#, et al., 2020
- Dual-curriculum Contrastive Multi-instance Learning for Cancer Prognosis Analysis with Whole Slide Images, Tu C, Zhang Y*, Ning, Z*., 2022
- Deep Convolutional Neural Network-aided Detection of Portal Hypertension in Patients with Cirrhosis, Liu Y#, Ning Z#, Örmeci N#, et al., 2020
- Development and Validation of a Radiomics Signature for Clinically Significant Portal Hypertension in Cirrhosis (CHESS1701): A Prospective Multicenter Study, Liu F#, Ning Z#, Liu Y#, et al., 2018
- Multi-scale Gradational-order Fusion Framework for Breast Lesions Classification using Ultrasound Images, Ning Z, et al., 2020
- LDGAN: Longitudinal-diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI, Ning Z, et al., 2020
Awards
- ICMA Fellowship Award
