朱付保 教授 博导
l联系方式
Ø单位：河南省卓越工程师学院
Ø邮箱：fbzhu@zzuli.edu.cn
Ø地址：郑州轻工业大学科学校区计算机与人工智能学院楼
l教育背景
Ø1993.09 - 1997.06 河南师范大学计算机科学教育 / 学士
Ø2003.09 - 2008.06 武汉大学计算机应用技术 / 硕士、博士
l研究领域
Ø研究领域主要围绕人工智能技术与应用、医工交叉、智慧医疗、脑机接口开展，长期与密歇根理工大学、湘雅医院、河南省人民医院、复旦大学附属中山医院、中山大学附属肿瘤医院等科研院所联合，在国家卓越工程人才培养战略指引下，通过郑州轻工业大学河南省卓越工程师学院、面向跨学科背景学生开展招生培养工作。研究团队注重科研与产教的深度融合，与河南省医疗装备制造领域龙头企业协同合作，致力于培养面向“医疗高端装备”交叉学科领域的高层次专门人才。
l荣誉获奖
Ø获河南省科技进步二等奖
Ø河南省高等学校教学名师
Ø获河南省高等教育教学成果二等奖
l代表性成果
Ø[1] Diagnosis of Pulmonary Hypertension by Integrating Multimodal Data with a Hybrid Graph Convolutional and Transformer Network. Journal of Imaging Informatics in Medicine. Oct 2025. (SCI 3区 IF: 3.8).
Ø[2] 3D lymphoma segmentation on PET/CT images via multi-scale information fusion with cross-attention. Medical Physics, June 2025, 52(6): 4371-4389. (SCI 3区 IF: 3.2).
Ø[3] A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma based on CT Images. Journal of Imaging Informatics in Medicine, Sep 2024. (SCI 2区 IF: 4.9).
Ø[4] EEG spatial projection and an improved 3D CNN with channel spatio-temporal joint attention mechanism for emotion recognition. Signal, Image and Video Processing. Sep 2024, 18(12): 9347-9362. (SCI 4区 IF: 2.0) .
Ø[5] An Automated Two-Stage Approach to Kidney and Tumor Segmentation in CT Imaging. Technology and Health Care. 32(2024): 3279-3292, Jun 2024. (SCI 4区, IF: 1.4).
Ø[6] Model-level Attention and Batch-instance Style Normalization for Federated Learning on Medical Image Segmentation. Information Fusion, Vol 107, Article number: 102348, Mar 2024. (SCI 1区, IF: 14.8).
Ø[7] Deep Learning-Based Diagnosis of Disease Activity in Patients with Graves’ Orbitopathy Using Orbital SPECT/CT. European Journal of Nuclear Medicine and Molecular Imaging, 50(12): 3666-3674, Jul 2023. (SCI 1区, IF: 9.1).
Ø[8] A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Computers in Biology and Medicine. Vol.160(106954), Apr 2023. (SCI 2区, IF:7.7).
Ø[9] Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images. Journal of Nuclear Cardiology. 30(5): 1825-1835, Mar 2023. (SCI 3区, IF:2.4).
Ø[10] A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. Ultrasonic Imaging, 44(5-6): 191-203. Nov 2022. (SCI 4区, IF:2.3).
l招生信息
Ø智能控制与信息处理技术方向
Ø多模态医学数据处理与分析方向