Ni Dong, Professor, Doctoral Supervisor.
Email: nidong@szu.edu.cn
Recruiting Majors: 140500 Intelligent Science and Technology / 085404 Computer Technology
Ni Dong, Professor, Doctoral Supervisor. Former board member of MICCAI, a top international conference on artificial intelligence in medical imaging, and associate editor of IEEE TMI, a top journal in the field. He has led one National Key Research and Development Program project (Chief Scientist), one National Natural Science Foundation of China (NSFC) key project (Tianyuan Interdisciplinary Key Project), and three other NSFC projects. His publications in top medical imaging AI journals rank among the top 10 in my country ("A Review and Outlook of 20 Years of Artificial Intelligence in Medical Imaging in China"), and he has been selected as one of the top 2% of scientists globally for four consecutive years.
His research focuses on intelligent ultrasound research and translation. This research pioneered a novel approach to intelligent ultrasound quality control, achieving the highest citation count among similar publications. The researcher has published 262 articles in journals such as MedIA (18 articles), TMI (11 articles), and Nature Communications (1 article), including 51 SCI-indexed papers in the past five years (20 with an impact factor > 8), over 11,000 Google Scholar citations, an H-index of 50, a single-paper citation count of 1076, and 5 ESI highly cited papers. The researcher received the First Prize of Shenzhen Science and Technology Progress Award (I), the Third Prize of China Maternal and Child Health Science and Technology Award (IV), and the Third Prize of Wu Wenjun Artificial Intelligence Award (I). The researcher participated in the formulation of one national pharmaceutical industry standard. The research and commercialization results have been granted 5 NMPA registration certificates, authorized over 30,000 software sets by multiple ultrasound manufacturers worldwide, and are used in thousands of hospitals. The researcher received a donation of tens of millions of yuan from the Gates Foundation to develop an intelligent handheld ultrasound system, aiming to significantly reduce maternal mortality rates in remote areas worldwide.
Research Directions:
Utilizing image processing, artificial intelligence, and robotics to achieve quantification, intelligentization, and standardization of ultrasound diagnosis; discovering novel biomarkers for clinical diagnosis using multimodal image analysis (including medical ultrasound) and gene analysis techniques; conducting cutting-edge research with practical clinical significance in close integration with clinical practice, and realizing the clinical application and translation of research results; Keywords: medical ultrasound image computation, medical general large-scale model, medical image analysis, embodied intelligence, medical robotics, hemodynamics, interventional assistance.
Recent Representative Research Achievements:
[1]Jun Cheng; Zhi Han; Rohit Mehra; Wei Shao; Michael Cheng; Qianjin Feng;Dong Ni*; KunHuang*; Liang Cheng*; Jie Zhang*,Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma，Nature Communications, 2020.
[2] Yuhao Huang; Xin Yang; Lian Liu; Han Zhou; Ao Chang; Xinrui Zhou; Rusi Chen; Junxuan Yu; Jiongquan Chen; Chaoyu Chen; Sijing Liu; Haozhe Chi; Xindi Hu; Kejuan Yue; Lei Li; Vicente Grau;,Deng-Ping Fan; Fajin Dong*;Dong Ni*，Segment Anything Model for Medical Images?，Medical Image Analysis, 2024.
[3]Zejian Chen; Wei Zhuo; Tianfu Wang; Jun Cheng; Wufeng Xue*;Dong Ni*,Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences，IEEE Transactions on Medical Imaging, 2023.
[4]Xin Yang; Haoran Dou; Ruobing Huang; Wufeng Xue; Yuhao Huang; Jikuan Qian; Yuanji Zhang; Huanjia Luo; Huizhi Guo; Tianfu Wang; Yi Xiong*;Dong Ni*,Agent with warm start and adaptive dynamic termination for plane localization in 3D ultrasound，IEEE Transactions on Medical Imaging, 2021.
[5] Xing Tao; Yan Cao; Yanhui Jiang; Xiaoxi Wu; Dan Yan; Wen Xue; Shulian Zhuang; Xin Yang; Ruobing Huang*; Jianxing Zhang*;Dong Ni*, Enhancing lesion detection in automated breast ultrasound using unsupervised multi-view contrastive learning with 3D DETR，Medical Image Analysis, 2025.
Major projects led in recent years:
[1] Ni Dong, Principal Investigator, National Key Research and Development Program of China, Research on Frontier Theory, Key Technologies and Clinical Applications of Intelligent Medical Ultrasound, 2019-2021.
[2] Ni Dong, Principal Investigator, National Natural Science Foundation of China (NSFC) Tianyuan Fund Interdisciplinary Key Project, Basic Large Model of Multimodal Medical Ultrasound and Its Application, 2024-2025.
[3] Ni Dong, Principal Investigator, NSFC General Program, Intelligent Assisted Scanning Method for Prenatal Ultrasound Based on Multi-view Self-attention Mechanism, 2022-2025.
[4] Ni Dong, Principal Investigator, NSFC General Program, Research on Non-rigid Part Registration Method of Prostate Multimodal Image Based on Personalized Deformation Model and Hybrid Fuzzy Similarity, 2016-2019.
[5] Ni Dong, Principal Investigator, Shenzhen-Hong Kong Joint Funding Project (Category A), Development of Lightweight Intelligent Remote Ultrasound Robot System, 2021-2023.
