Biography

  Sukun Tian received the Ph.D. degree in Manufacture Engineering of Aeronautics and Astronautics from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2020, and Post-Doctoral Fellow in School of Mechanical Engineering, Shandong University, Jinan, China, in 2023. He is currently an Assistant Professor/Associate Researcher and PhD Supervisor with Center of Digital Dentistry from Peking University School and Hospital of Stomatology.
  His current research interests cover a wide range of topics related with Biomedical Engineering, Medical Image Analysis, Intelligent Manufacturing, Artificial Intelligence (AI) techniques in healthcare and medicine applications.
  田素坤,工学博士(后),北京大学口腔医学院·口腔医学数字化研究中心 副研究员、博/硕士研究生导师,北大医学-南京前知口腔智能设计制造联合实验室副主任、中国医疗器械行业协会口腔科设备及材料专业委员会特聘专家顾问。2020年于南京航空航天大学获工学博士学位,2020年至2023年任山东大学博士后研究员,2022年南京航空航天大学优秀博士学位论文获得者;主持项目:国家重点研发计划课题、国家自然科学基金青年项目、北京市自然科学基金等6项;国内外刊物上发表论文50余篇(ESI高被引论文1篇);申请中国发明专利10项(授权4项、转化1项)、软件著作权2项;荣获第48、49届日内瓦国际发明展-金奖(4/13、4/17)、中华口腔医学会科技奖二等奖(4/10)等各类奖励10余项,指导博士、硕士研究生9人。

  研究方向:医学人工智能诊断与仿生设计智造技术

News

  • [2024.07.06] New !!! 课题组荣获 “中华口腔医学会科技奖 二等奖”(4/10).
  • [2024.07.01] New !!! One paper has been accepted by Engineering Applications of Artificial Intelligence(Q1-TOP, IF: 7.5).
  • [2024.05.30] New !!! One paper has been accepted by International Journal of Bioprinting(Q1, IF: 6.8).
  • [2024.05.06] 成功获批 “企业委托横向课题”(主持).
  • [2024.04.28] One paper has been accepted by Computers in Biology and Medicine(Q1-TOP, IF: 7.7).
  • [2024.04.21] 课题组荣获 “第49届日内瓦国际发明展-金奖”(4/17).
  • [2024.02.29] One paper has been accepted by IEEE Journal of Biomedical and Health Informatics(Q1-TOP, IF: 7.7).
  • [2024.02.27] One paper has been accepted by Information Fusion(Q1-TOP, IF: 18.6).
  • [2023.12.06] 成功获批国家级项目 “国家重点研发计划项目”,本人作为课题一的负责人(主持).
  • [2023.11.10] 成功获批省级项目 “国家北京市自然科学基金-海淀原始创新联合基金”(主持).
  • [2023.10.09] One paper has been accepted by IEEE Transactions on Instrumentation and Measurement(Q1-TOP, IF: 5.6).
  • [2023.07.09] One paper has been accepted by IEEE Journal of Biomedical and Health Informatics(Q1-TOP, IF: 7.7).
  • [2023.05.01] 入职:北京大学口腔医学院·口腔医学数字化研究中心 助理教授/副研究员/博士生导师.
  • [2023.04.28] 课题组荣获 “第48届日内瓦国际发明展-金奖”(4/13).
  • [2022.08.23] One paper has been accepted by IEEE Transactions on Medical Imaging(Q1-TOP, IF: 11.037).
  • [2022.08.20] 成功获批国家级项目 “国家自然科学基金青年项目”(主持).
  • [2022.07.01] One paper has been accepted by Biomedical Signal Processing and Control(Q1, IF: 5.1).
  • [2022.05.06] 荣获 “南京航空航天大学优秀博士学位论文”.
  • [2021.10.06] One paper has been accepted by IEEE Journal of Biomedical and Health Informatics(Q1-TOP, IF: 7.7).
  • [2021.04.29] One paper has been accepted by IEEE Transactions on Medical Imaging(Q1-TOP, IF: 10.048).
  • [2020.12.20] 入站:山东大学机械工程学院 重点资助类博士后.

Research Team

  • Cheng Li (Ph.D.student, 2020.09-2024.06): AI-aided intelligent design
  • Yifang Ke (Ph.D.student, 2020.09-): Clinical validation
  • Tianxiang Li (Ph.D.student, 2024.09-): AI-aided intelligent design and manufacturing
  • Hongyan Wang (Ph.D.student, 2024.09-): Clinical validation
  • Dongyao Jiang (M.Sc.student, 2024.09-): Topology optimization
  • Shipeng Hu (Ph.D.candidate, 2025.09-): AI-aided medical image intelligent diagnosis
  • Rui Deng (Ph.D.candidate, 2025.09-): AI-aided medical image intelligent diagnosis

Research Interests

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AI-aided Medical Feature Intelligent Extraction
AI-aided teeth feature intelligent extraction is an innovative research integrating artificial intelligence technology with the dental field. Its objective is to utilize computer vision and machine learning algorithms to automatically identify and extract key features from dental images, such as tooth morphology, position, and spacing. This facilitates rapid and accurate assistance for dental diagnosis and treatment, promoting the intelligent and precise development of dental healthcare.

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AI-aided Intelligent Design and Manufacturing
It aims to leverage AI algorithms to optimize the design process of dental prostheses, such as crowns, bridges, and dentures, based on individual patient data and requirements. By integrating AI into the manufacturing process, it enables the production of customized prosthetic devices with improved accuracy, fit, and functionality. This innovative approach promises to revolutionize the field of prosthodontics by streamlining workflow, enhancing patient outcomes, and advancing the overall quality of dental care.

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AI-aided Medical Image Intelligent Diagnosis
By training AI models on vast amounts of annotated medical image data, these systems can recognize patterns and abnormalities that may be imperceptible to the human eye, assisting healthcare professionals in making timely and precise diagnoses. This technology holds great promise in improving diagnostic accuracy, reducing interpretation time, and ultimately enhancing patient care across diverse medical specialties.

Publications

Note: * Corresponding author, # Co-first authors.

2024

2023

2022

2021

2020

2019

Patents

  • 马海峰, 田素坤, 李振洋, 刘战强, 宋清华, 王兵, 蔡玉奎, 王磊. 深度生成网络辅助的功能性全冠修复体形态生成方法: 中国, 授权号:ZL202110649958.3. (博后导师第一)
  • 陈金友, 胡巍, 廖金雄, 田素坤. 一种柔性仿生机械抓取装置: 中国, 授权号:ZL202010909342.0.
  • 田素坤,孙玉春,周永胜,翟文茹. 基于分层特征级联融合策略的缺失牙形态重建方法及系统: 中国, 申请号:CN202310439858.7.
  • 马海峰, 田素坤, 刘战强, 周金华, 张思路, 宋清华, 刘兆军. 一种基于对抗学习网络的带钢表面缺陷检测方法及系统: 中国, 申请号:CN 202210885378.9. (博后导师第一)
  • 周金华, 马海峰, 迟永辉, 田素坤. 一种变流量气体混合引射装置、燃料电池系统及方法: 中国, 申请号:CN202210044379.0.
  • 马海峰, 周金华, 陈杰, 田素坤, 刘战强, 宋清华. 一种用于磨削加工的柔性夹持机构及磨削加工装置: 中国, 授权号:ZL202210288373.8.
  • 孙玉春;周永胜;李伟伟;陈虎;田素坤;翟文茹. 一种颌位关系的数字测定方法与系统: 中国, 申请号:CN202310153271.X. 申请日期:2023-02-17
  • 孙玉春;周永胜;田素坤;李骋;沈妍汝;唐宝;张晓辉;翟文茹. 一次性极薄牙贴面的制作方法. 申请(专利)号:CN202310250819.2. 申请日:2023-03-15
  • 孙玉春;周永胜;田素坤;柯怡芳;江泳;范宝林;翟文茹. 医用照明装置、手术床、治疗椅,及照明控制器、方法和设备. 申请(专利)号:CN202311152946.5. 申请日:2023-09-07

Honors and Awards

  • 2024,中华口腔医学会科技奖 二等奖(4/10, 孙玉春、周永胜、郭传瑸、田素坤、刘云松、......)
  • 2024,第49届日内瓦国际发明展-金奖(4/17, 孙玉春、郭传瑸、周永胜、田素坤、张旭、......)
  • 2023,第48届日内瓦国际发明展-金奖(4/13, 孙玉春、周永胜、王勇、田素坤、陈虎、......)
  • 2022,南京航空航天大学优秀博士学位论文
  • 2019,中国研究生人工智能创新大赛“百强团队”
  • 2018,中国研究生电子设计竞赛华东赛区一等奖
  • 2015,研究生国家奖学金
  • 2014,湖南省研究生创新论坛优秀论文一等奖

Projects

  • 国家自然科学基金青年项目(52105265),2022.01-2024.12,主持
  • 国家重点研发计划课题(2023YFB4605401),2023.12-2026.12,主持
  • 北京市自然科学基金-海淀原始创新联合基金(L232145),2023.11-2026.11,主持
  • 企业委托横向课题(PKUSSIIT2024031),2024.05-2025.05,主持

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