宁振源

姓名：宁振源

职称：副教授

联系邮箱：jonnyning@foxmail.com

v 学习经历

2014.09-2018.06 南方医科大学，生物医学工程（本硕连续培养），学士  

2019.11-2020.07 美国北卡罗来纳大学教堂山分校，访问学者  

2018.09-2023.06 南方医科大学，生物医学工程，博士  

v 工作经历

2023.09 至今 南方医科大学，副教授

v 研究方向

1.癌症预后分析

2.典型脑疾病辅助诊断

3.智能超声病灶定位与识别

4.结合临床场景的智能算法开发与应用

v 招生方向

v 主要获奖情况（科研获奖、人才类奖项）

ICMA Fellowship Award等

v 主要科研课题

[1] 南方医科大学高层次人才引进科研启动项目，主持

v 代表性论文

Google scholar: https://scholar.google.com/citations?user=v11UQPcAAAAJ&hl=zh-CN

[1] Ning Z, et al. Mutual-assistance Learning for Standalone Mono-modality Survival Analysis of Human Cancers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(6): 7577-7594. (中科院一区)

[2] Ning Z, et al. Multi-constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34(7): 3737-3750. (中科院一区)

[3] Ning Z, et al. Deep Cross-view Co-regularized Representation Learning for Glioma Subtype Identification, Medical Image Analysis, 2021, 73: 102160. (中科院一区)

[4] Ning Z#, Xiao Q#, et al. Relation-induced Multi-modal Shared Representation Learning for Alzheimer’s Disease Diagnosis, IEEE Transactions on Medical Imaging, 2021, 40(6): 1632-1645. (中科院一区)

[5] Ning Z#, Zhong S#, et al. SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image, IEEE Transactions on Medical Imaging, 2022, 41(2): 476-490. (中科院一区)

[6] Ning Z#, Du D#, et al. Relation-aware Shared Representation Learning for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-modality Data, IEEE Transactions on Medical Imaging, 2022, 41(1): 186-198. (中科院一区)

[7] Ning Z, et al. Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features, IEEE Journal of Biomedical and Health Informatics, 2019, 23(3): 1181-1191. (中科院一区)

[8] Zhao Z, Feng Q, Zhang Y*, Ning Z*. Adaptive Risk-aware Sharable and Individual Subspace Learning for Cancer Survival Analysis with Multi-modality Data, Briefings in Bioinformatics, 2023, 24(1): bbac489. (中科院一区)

[9] Ning Z#, Pan W#, et al. Integrative Analysis of Cross-modal Features for the Prognosis Prediction of Clear Cell Renal Cell Carcinoma, Bioinformatics, 2020, 36(9): 2888-2895. (中科院二区)

[10] Tu C, Zhang Y*, Ning Z*. Dual-curriculum Contrastive Multi-instance Learning for Cancer Prognosis Analysis with Whole Slide Images, Advances in Neural Information Processing Systems, 2022.（会议长文，CCF-A)

[11] Du D, Feng Q, Chen W, Ning Z*, Zhang Y*. Mix-supervised Multiset Learning for Cancer Prognosis Analysis with High-censoring Survival Data, Expert Systems With Applications, 2024. (中科院一区)

[12] Liu Y#, Ning Z#, Örmeci N#, et al. Deep Convolutional Neural Network-aided Detection of Portal Hypertension in Patients with Cirrhosis, Clinical Gastroenterology and Hepatology, 2020, 18(13): 2998-3007. e5. (中科院一区)

[13] Liu F#, Ning Z#, Liu Y#, et al. Development and Validation of a Radiomics Signature for Clinically Significant Portal Hypertension in Cirrhosis (CHESS1701): A Prospective Multicenter Study, EBioMedicine, 2018, 36: 151-158. (中科院一区)

[14] Ning Z#, Tu C#, et al. Multi-scale Gradational-order Fusion Framework for Breast Lesions Classification using Ultrasound Images, International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020: 171-180. （会议长文，CCF-B)

[15] Ning Z, et al. LDGAN: Longitudinal-diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI, International Workshop on Machine Learning in Medical Imaging, 2020: 170-179. （会议长文，CCF-B)