潘志方（温州医科大学附属第一医院）_温州医科大学附属眼视光医院

导师风采

Public affairs

潘志方（温州医科大学附属第一医院）

Email: 7558037@qq.com

潘志方，教授，博士生导师，物理学学士、医学硕士、上海交通大学计算机软件与理论工学博士，IEEE高级会员，国际会议International Conference on Pattern Recognition and Machine Learning (PRML 2022)程序委员会主席，拥有生物医学工程专业学术型专业型硕士研究生、来华留学生学术型博士研究生招生资格，附属第一医院浙江省智慧医疗工程技术研究中心重点实验室科研人员、生物医学工程研究生课程《医疗数据智能分析》、来华留学生《计算机应用》本科全英语课程和临床本科微专业课程《医学影像智能分析》的发起人创始人主讲人，危重症医学&急诊医学临床研究生课程《危重症智能化救治》的主要授课人，研究方向为医疗大数据的研究、临床应用及产业转化。

现任温州医科大学信息技术中心副主任、欧美同学会常务副会长（侨留联常务副主席）、省侨联特聘专家、中国致公党温州市监督委委员、温州市卫健委特约监督员。中华医学会教育技术分会网络应用与管理学组副组长、中国教育发展战略学会教育信息化专业委员会理事、浙江省生物医学工程学会第九届理事、中国体视学会智能成像分会委员、中国医药教育协会智能医学专委会常委、全国高等院校计算机基础教育研究会智能技术应用专委会常委。温州市551人才，温州市网络安全应急处置专家小组成员。

长期从事生物与信息的融合、医学和教育大数据分析等研究，擅长将机器学习、数据挖掘的算法应用于医学和教育领域。关注医学图像等大数据的分析和处理，同时也从事医疗和教育大数据的平台架构和分析框架的构建应用研究，并由以上主题衍生出有关可解释深度学习网络的架构、加速和优化处理。现在涉及的课题主要围绕各类疾病、神经影像和肿瘤的分割、分类、识别和预测等。曾在美国北卡罗来纳大学教堂山分校IDEA实验室和俄亥俄大学计算机系科研访学、波兰卢布林医科大学教学进修。

主持参与有关疾病智能化诊治、医学影像数据的分割与配准、医学影像统计形态分析、高校公共基础信息标准化、复杂网络社团结构分析等国家自然、省重大研发计划、省自然、教育厅和市重大科技创新计划；发表高水平论文50余篇，其中NeuroImage等一区TOP期刊16篇，高被引论文7篇其中热点论文4篇；已经授权发明专利8项，其中有关影像数据的分割分类方法发明专利五项，区块链相关发明专利一项，网络异常预警分析发明专利一项，虚拟换衣方法一项。曾为多家SCI期刊审稿，包括《Information Fusion》、《IEEE Transactions on Medical Imaging》、《IEEE Transactions on Biomedical Engineering》、《Neurocomputing》、《Frontiers in Neuroscience》等。

近期最后通讯作者期刊论文：

1.An analytic computation-driven algorithm for Decentralized Multicore Systems. Future Generation Computer Systems,通讯作者,2019.07,96:101-110 (SCI一区，IF= 7.307)

2.RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. NeuroImage,通讯作者,2020.05,211:116620 (SCI 一区，IF=7.4)

3.Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies. Future Generation Computer Systems,通讯作者,2020.10,111:175-198 (ESI高被引论文、热点论文) (SCI 一区，IF=7.307)

4.Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection. Knowledge-Based Systems,通讯作者, 2021.02, 213:106684 (ESI高被引论文、热点论文) (SCI 一区，IF= 8.139)

5.Generalized oppositional moth flame optimization with crossover strategy: an approach for medical diagnosis. Journal of Bionic Engineering,通讯作者,2021.03,18: 991-1010 (SCI 二区，IF= 2.995)

6.Chaotic diffusion-limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection. International Journal of Intelligent Systems,通讯作者, 2021.11,37:4864-4927 (SCI 一区，IF= 8.993)

7.Performance Optimization of Differential Evolution with Slime Mould Algorithm for Multilevel Breast Cancer Image Segmentation. Computers in Biology and Medicine,通讯作者, 2021.11,138:104910 (SCI 一区，IF= 6.698)

8.MFeature: Towards High Performance Evolutionary Tools for Feature Selection. Expert Systems With Applications,通讯作者,2021.12,186:115655 (SCI 一区，IF= 8.665)

9.MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. NeuroImage, 通讯作者,2021.12,244:118568 (SCI 一区，IF= 7.4)

10.Differential Evolution-assisted Salp Swarm Algorithm with Chaotic Structure for Real-World Problems. Engineering with Computers,通讯作者, 2022.01 (ESI高被引论文)(SCI 一区，IF= 8.083)

11.Adaptive Barebones Salp Swarm Algorithm with Quasi‑oppositional Learning for Medical Diagnosis Systems: A Comprehensive Analysis. Journal of Bionic Engineering,通讯作者,2022.01,19:240-256 (SCI 二区，IF= 2.995)

12.Boosting Whale Optimization with Evolution Strategy and Gaussian Random Walks: An Image Segmentation Method. Engineering with Computers,通讯作者,2022.01(ESI高被引论文) (SCI一区，IF=8.083)

13.Dispersed Foraging Slime Mould Algorithm: Continuous and Binary Variants for Global Optimization and Wrapper-based Feature Selection. Knowledge-Based Systems, 通讯作者,2022.02,237:107761(ESI高被引论文、热点论文) (SCI 一区，IF= 8.139)

14.Evolving kernel extreme learning machine for medical diagnosis via disperse foraging sine cosine algorithm. Computers in Biology and Medicine, 通讯作者, 2022.02,141:105137(SCI一区，IF= 6.698)

15.Performance Optimization of Support Vector Machine with Oppositional Grasshopper Optimization for Acute Appendicitis Diagnosis. Computers in Biology and Medicine,通讯作者,2022.04,143:105206(ESI高被引论文) (SCI 一区，IF= 6.698)

16.Gaussian kernel probability-driven slime mould algorithm with new movement mechanism for multi-level image segmentation. Measurement,通讯作者,2022.03, 192:110884(SCI 二区，IF =5.131)

17. Chaotic Simulated Annealing Multi-Verse Optimization Enhanced Kernel Extreme Learning Machine for Medical Diagnosis. Computers in Biology and Medicine,通讯作者, 2022.05, 144:105356.（SCI一区，IF=6.698）

18.Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection. Neurocomputing, 通讯作者, 2022.09, 503:325-362(ESI高被引论文、热点论文)（SCI 二区，IF =5.779）

19. Enhanced Moth-flame Optimizer with Quasi-Reflection and Refraction Learning with Application to Image Segmentation and Medical Diagnosis. Current Bioinformatics,通讯作者,2022录用（SCI三区，IF=4.85）

20.Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection. Expert Systems with Applications, 通讯作者,2023.02, 212: 11864 (SCI 一区，IF= 8.665)

近期合作期刊论文：

1. Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis.Journal of Gastroenterology and Hepatology, 共同通讯作者, 2023.01 (SCI三区，IF= 4.369)

2. Application of Machine Learning in Intelligent Medical Image Diagnosis and Construction of Intelligent Service Process.Computational Intelligence and Neuroscience,共同作者, 2022,9152605(SCI三区，IF= 3.120)

3. Machine learning‑based radiomics for multiple primary prostate cancer biological characteristics prediction with ¹⁸F-PSMA-1007 PET: comparison among different volume segmentation thresholds.La radiologia medica (Radiologia Medica),共同作者,2022, 127:1170–1178(SCI二区，IF= 6.313)

4. Moderate-Severe White Matter Lesion Predicts Delayed Intraventricular Hemorrhage in Intracerebral Hemorrhage. Neurocritical Care,共同作者, 2022, 37:714–723(SCI三区，IF= 3.532)

5. BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning, Frontiers in Oncology,共同作者, 2021, 11(1): 0-728224(SCI二区，IF=5.738)

6. Radiomics Model for Evaluating the Level of Tumor-Infiltrating Lymphocytes in Breast Cancer Based on Dynamic Contrast-Enhanced MRI, Clinical Breast Cancer, 共同作者, 2021, 21(5): 440-449(SCI三区，IF=3.078)

7. Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue, Journal of Magnetic Resonance Imaging,共同作者, 2020, 51(3): 798-809(SCI二区，IF=5.119)

8.Attention guided neural ODE network for breast tumor segmentation in medical images. Computers in Biology and Medicine,共同通讯作者,2023,159:106884(SCI一区, IF= 6.698)

9.Deep Learning-based Multiparametric MRI Model For Preoperative T-stage In Rectal Cancer. Journal of Magnetic Resonance Imaging,共同通讯作者, 2023录用(SCI二区, IF=5.119)

10.Attention Based Cross-Domain Synthesis and Segmentation from Unpaired Medical Images.IEEE Transactions on Emerging Topics in Computational Intelligence,共同作者, 2023录用(SCI二区,IF=4.851)

11.An enhanced grey wolf optimizer boosted machine learning prediction model for patient-flow prediction.Computers in Biology and Medicine,共同作者,2023录用(SCI一区, IF= 6.698)

中国发明专利授权（第一发明人）：

1.一种构建半监督图像分割框架的方法及系统，专利号ZL202010892241.7

2.一种基于区块链的高校数据增量治理系统，专利号ZL201910677394.7

3.基于多模态MRI数据的脑瘤术后空间域分割方法，专利号ZL201611122976.1

4.基于婴幼儿脑瘤多模态MRI图的时空协同分割方法，专利号ZL201611123636.0

5.基于多模态MRI纵向数据的脑瘤时空协同分割方法，专利号ZL201611123608.9

6. 一种基于日志分析的网络异常预警方法，专利号ZL201910844932.7

7.一种面向多源数据的乳腺肿瘤图像分类预测方法及装置，专利号ZL202110024038.2

8.一种基于改进的GRNet网络的虚拟换衣方法及系统，专利号 ZL 202111070599.2

国际PCT专利检索报告（第一发明人）：

1.潘志方；陈高翔；茹劲涛；一种构建半监督图像分割框架的方法及系统，PCT国际专利（专利号：PCT/CN2020/113496，已获检索报告）

2.潘志方；陈高翔；胡剑策；一种面向医学影像的人工智能辅助诊断模型构建系统，PCT国际专利（专利号：PCT/CN2021/131601，已获检索报告）