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

本人主要从事智能医疗相关研究。具体研究工作包括：

1.智能医学图像处理与数据挖掘

2.癌症（如乳腺癌、宫颈癌等）辅助诊断与预后分析

v 招生方向

v 主要获奖情况（科研获奖、人才类奖项）

南方医科大学高层次引进人才、ICMA Fellowship Award、广东省培育人才，多项成果入选无创门脉高压指南、ESI高被引论文、Editor’s Choice、Featured Article等。

v 主要科研课题

[1] 主持国家自然科学基金、广东省自然科学基金等项目5项

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，CCF-A)

[2] Xiao Q#, Liu G, Feng Q, Zhang Y*, Ning Z*. Tensor coupled learning of incomplete longitudinal features and labels for clinical score regression[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(1): 369-386. (中科院一区，CCF-A)

[3] Wang W#, Wang W, Feng Q, Zhang Y*, Ning Z*. Knowledge-prompted trustworthy disentangled learning for thyroid ultrasound segmentation with limited annotations [J]. IEEE Transactions on Image Processing, 2025, 47(1): 369-386. (中科院一区，CCF-A)

[4] 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)

[5] 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)

[6] 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)

[7] 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)

[8] 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)

[9] Xu H#, Wang J#, Feng Q, Zhang Y*, Ning Z*. Domain-specific information preservation for Alzheimer’s disease diagnosis with incomplete multi-modality neuroimages[J]. Medical Image Analysis, 2025, 101: 103448. (中科院一区)

[10] Mao Y#, Feng Q, Zhang Y*, Ning Z*. Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images[J]. Medical Image Analysis, 2025, 99: 103380.(中科院一区)

[11] Zhong S#, Wang W, Feng Q, Zhang Y*, Ning Z*. Cross-view discrepancy-dependency network for volumetric medical image segmentation[J]. Medical Image Analysis, 2025, 99: 103329. (中科院一区)

[12] 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)

[13] 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)

[14] Ning Z#, Mao Y#, Xu X, Feng Q, Zhong S*, Zhang Y*. DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images[J]. Engineering Applications of Artificial Intelligence, 2025, 148: 110355.(中科院一区)

[15] 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)

[16] 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，CCF-A)

[17] 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)

[18] 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)

[19] 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)

[20] 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)