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王腾飞，博士，2016毕业于中国科学院大学，获博士学位；2018年到2021年在中国科学院合肥物质科学研究院从事博士后研究；2022年加入健康与医学技术研究所医学影像研究室工作，历任助理研究员，副研究员。主要研究领域包括图像处理和深度学习技术的应用，致力于开发新一代癌症微创介入诊疗系统，涵盖在线癌症诊断、分类判定、精确放疗、切除及预后预测等功能。具体研究方向包括：甲状腺结节智能诊疗、面向肠胃病灶的智能辅助诊断、肺部多疾病预测及泛化性研究、肝癌免疫治疗疗效预测等。在医学影像分析领域，已在高水平期刊和会议上发表十余篇第一作者/通讯作者文章，涵盖Npj Precision Oncology、Neurocomputing、IEEE JBHI、CMIG等期刊。主持安徽省实验室开放课题等项目，并参与国家重点研发计划、国家自然科学基金面上项目、安徽省科技重大专项等科研项目。
主要从事人工智能与医学影像交叉研究，围绕肿瘤精准医疗需求，重点开展多模态医学数据融合、智能诊断模型、微创介入导航及人机协同诊疗系统等方向的研究。
代表性论文
Junjie Wang, Jun Xu, Yanfei Zhou, Xin Luo, Hongzhi Wang, Tengfei Wang*, Hai Li*.MultiXpert: Dual-stream synergistic enhancement with cross-modal alignment for zero-shot chest x-ray diagnosis. Information Processing Management. 2026 63(2): 104468.
Jun Xu#, Tengfei Wang#, Junjun Li, Yong Wang, Zhangxiang Zhu, Xiao Fu, Junjie Wang, Zhenglin Zhang, Wei Cai, Ruipeng Song, Changlong Hou, Li-Zhuang Yang, Hongzhi Wang, Stephen T.C.Wong*, Hai Li*. A multimodal fusion system predicting survival benefits of immune checkpoint inhibitors in unresectable hepatocellular carcinoma. npj Precision Oncology. 2025 9:185.
Xuan Chu, Tengfei Wang*, Meiwen Chen, Jingyu Li, Luyao Wang, Chengjie Wang, Hongzhi Wang, Stephen T.C. Wong, Yongchao Chen*, Hai Li*. Deep learning model for malignancy prediction of TI-RADS 4 thyroid nodules with high-risk characteristics using multimodal ultrasound: A multicentre study. Computerized Medical Imaging and Graphics. 2025 124:102576.
Guo-Ren Xia, Tengfei Wang*, Jun Xu, Xiaoyang Li, Hongzhi Wang, Stephen TC Wong*, Hai Li*. A novel population-characteristic weighted sparse model for accurate respiratory motion prediction in CT-guided lung cancer interventions, Computerized Medical Imaging and Graphics. 2025 123:102557.
Jun Xu, Junjie Wang, Junjun Li, Zhangxiang Zhu, Xiao Fu, Wei Cai, Ruipeng Song, Tengfei Wang*, Hai Li*. Predicting Immunotherapy Response in Unresectable Hepatocellular Carcinoma: A Comparative Study of Large Language Models and Human Expert, Journal of Medical Systems. 2025 49:64.
Jun Xu, Junjun Li, Tengfei Wang*, Xin Luo, Zhangxiang Zhu, Yimou Wang, Yong Wang, Zhenglin Zhang, Ruipeng Song, Li-Zhuang Yang, Hongzhi Wang, Stephen T. C. Wong & Hai Li*. Predicting treatment response and prognosis of immune checkpoint inhibitors-based combination therapy in advanced hepatocellular carcinoma using a longitudinal CT-based radiomics model: a multicenter study. BMC Cancer. 2025 25:602.
Junjie Wang#, Tengfei Wang#, Jun Xu, Zhenglin Zhang, Hongzhi Wang, Hai Li*. Zero-Shot Diagnosis of Unseen Pulmonary Diseases via Spatial Domain Adaptive Correction and Guidance by ChatGPT-4o. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, December 3-6, 2024.
Tengfei Wang#, Tiancheng He#, Zhenglin Zhang, Qi Chen, Liwei Zhang, Guoren Xia, Lizhuang Yang, Hongzhi Wang, Stephen T.C. Wong*, Hai Li*. A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model. International Journal of Computer Assisted Radiology and Surgery (IJCARS). 2022 17:1751–1764.
专利
李海; 王腾飞; 王宏志; 江海河; 一种基于流形聚类和加权稀疏的呼吸运动补偿方法, 2026-03-17, CN202310135072.6
李海; 王腾飞; 王宏志; 江海河; 一种基于多模影像融合的骨科手术导航系统, 2022-02-08, CN201911336544.4
承担项目
基于多模态光电感知数据融合的深度学习智能诊断算法及其在疾病早筛中的应用, 信息材料与智能感知安徽省实验室开放课题, 2025.01-2026.12
AI肺炎辅助诊断系统研发, 横向技术开发项目, 2023.06-2025.06
