Professor | 宁振源 | 数字化转型顾问

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Name	宁振源
Contact Information	jonnyning@foxmail.com
Language ability	英语, 中文
Province	广东

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Name

宁振源

Contact Information

jonnyning@foxmail.com

Language ability

英语, 中文

Province

广东

University/Lab Affiliation and Title	南方医科大学
Faculty	Biomedical Engineering
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
Work Experience	2023.09-至今 - 南方医科大学 - 副教授
Awards	ICMA 奖学金奖

University/Lab Affiliation and Title

南方医科大学

Faculty

Biomedical Engineering

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

Work Experience

2023.09-至今 - 南方医科大学 - 副教授

Awards

ICMA 奖学金奖

Areas of Focus	医学图像分析与生存分析
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

Areas of Focus

医学图像分析与生存分析

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

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

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