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宁振源
Biomedical Engineering
南方医科大学
广东
Language: 英语, 中文
癌症预后
脑疾病
超声
智能算法
临床应用
图像分析
生存分析
诊断
医学成像
生物医学工程
Areas of Focus
- 医学图像分析与生存分析
Work Experience
- 2023.09-至今 - 南方医科大学 - 副教授
Academic Background & Achievements
- 2014.09-2018.06 学士: 南方医科大学, 生物医学工程
- 2019.11-2020.07 访问学者: 美国北卡罗来纳大学教堂山分校
- 2018.09-2023.06 博士: 南方医科大学, 生物医学工程
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 奖学金奖
