IMIC Lab

Li Qiong

Li Qiong, Ph.D., is a member of the Communist Party of China, a postdoctoral fellow at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He received a Bachelor of Engineering in Computer Science and Technology from Shandong Normal University in 2017, a Master of Engineering in Computer Application Technology from Guangxi University in 2020, and a Doctor of Engineering in Computer Application Technology from Beijing Normal University in 2026. During his PhD, he participated in a number of interdisciplinary research projects, focusing on computer vision, pattern recognition and other fields, and has rich experience in experimental design and algorithm development. Current research directions include: computer vision, medical artificial intelligence, and auxiliary diagnosis and treatment.

Sun Hui

Sun Hui, Ph.D., member of the Communist Party of China, is a postdoctoral fellow at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He received a bachelor’s degree in engineering from Sichuan Agricultural University in 2016, a master’s degree in control theory and control engineering from Northeastern University in 2020, and a doctorate in mechanical engineering from City University of Hong Kong in 2024. From November 2024 to October 2025, he served as a postdoctoral researcher in the School of Mechanical Engineering. During his doctoral and postdoctoral years, he led and participated in a number of interdisciplinary research projects, focusing on generative deep learning, wearable sensing technology, micro-nanoscale image super-resolution and other fields. He has rich experience in experimental design and algorithm development. Current research directions include: wearable health sensing sensors, deep learning and data enhancement, micro-nano image super-resolution reconstruction, and large language models and multi-modal intelligent systems.

Yang Jianwei

Educational experience: Undergraduate 2015/09–2019/06 Yancheng Normal University Master 2019/09-2022/06 Nanjing University of Posts and Telecommunications PhD 2024/09-present Nanjing University of Information Science & Technology Work experience:

Lin Lihong

Educational experience: Undergraduate: 2014/09-2018/06 Henan University of Science and Technology Master: 2018/09-2021/06 Shanghai Normal University PhD: 2025/09-present Nanjing University of Information Science & Technology Skills: Programming language: Python, R,

Wang Rui

Wang Rui, member of the Communist Party of China, member of the Asia-Pacific Society of Cardiovascular and Interventional Radiology 2025 (APSCVIR 2025) Education experience: Junior College: 2009/09~-2012/07: Yancheng Health Vocational and Technical College

Li Jinze

Educational experience Undergraduate: 2016.09 – 2020.06 Sun Yat-sen College of Dalian Medical University, Medical Imaging Technology Major Master: 2020.09-2023.06 Jinzhou Medical University, Imaging Medicine and Nuclear Medicine

Sun Jiarui

Sun Jiarui, Ph.D., is a lecturer at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He received a bachelor’s degree in engineering from Zhengzhou University in 2019, and then obtained a doctorate in engineering from the School of Computer Science and Engineering of Southeast University in 2024. During his doctoral period, he participated in 2 projects including the National Natural Science Foundation of China, and participated in scientific research internships in scientific research institutions and enterprises such as Chinese Academy of Sciences-Shenzhen Institute of Advanced Technology and United Imaging Healthcare. His current main research directions are intelligent medical image analysis, multi-modal medical image processing, etc. In the past five years, he has published 6 papers as the first/co-author in top journals in the field such as IEEE TMI, MedIA and IEEE J-BHI, and has long served as a reviewer for important journals in the field.

Yuan Mingzhi

Yuan Mingzhi, Ph.D., is a lecturer at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Obtained a bachelor’s degree in engineering (communication engineering) from Harbin Institute of Technology in June 2020, and a doctorate in engineering (biomedical engineering) from Fudan University in June 2025. The current main research directions are intelligent drug design, three-dimensional computer vision, etc. In the past three years, he has published 25 papers in top conferences and journals such as ICCV, ECCV, CVPR, ICRA, and BIB, including 17 first authors (including co-authors). He has long served as a reviewer for important journals in the field, TPAMI, TIP, RAL, and Automation Journal.

Hugo Gamboa (Hugo ∙ Gamboa)

Basic information Nationality: Portuguese Phone: +351 962611197 Email: hgamboa@fct.unl.pt Personal resume •Tenured professor at the Department of Physics, New Academy of Sciences, NOVA University, Lisbon, and also works at the LIBPHYS-UNL Research Center

Luo Yuemei

Luo Yuemei is a professor at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, a Longshan Scholar, a national-level overseas young talent, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. She graduated from the University of Electronic Science and Technology of China with a bachelor’s degree, and then received a doctorate from Nanyang Technological University in Singapore and conducted postdoctoral research. She has published more than 40 papers in recent years. He has been engaged in the research of medical high-resolution optical coherence tomography technology for a long time. His main research direction is micron resolution optical coherence tomography (micro-OCT) and its application in the fields of gastrointestinal tract, cardiovascular, skin, and ophthalmology. The specific directions include the promotion and application of endoscopic micro-OCT in gastrointestinal and cardiovascular imaging, the application and promotion of micro-OCT in ophthalmology and skin imaging, non-destructive optical detection, and medical image recognition based on deep learning. Google Scholar homepage: https://scholar.google.com.sg/citations?user=piaBPSEAAAAJ&hl=en. Students who are interested in the research direction of this research group are welcome to join. Contact information: luoyuemei@nuist.edu.cn.

Hu Danqing

Hu Danqing, Ph.D., is a lecturer at the School of Artificial Intelligence (College of Future Technology), Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated from Shandong University with an undergraduate degree in 2014, and graduated from Zhejiang University with a master’s degree and a doctoral degree in 2017 and 2022 respectively. Research directions include medical artificial intelligence, medical informatics, lung cancer full-process decision support, etc. Currently, he presides over the National Natural Science Youth Fund, and participates in the Beijing Natural Science Foundation Haidian Original Innovation Key Project, the “13th Five-Year Plan” National Key Research Special Precision Medicine Research Project, and the National Natural Science Foundation General Project. Published 17 papers in important medical information journal conferences such as IEEE JBHI, AIM, IJMI, IEEE EMBC, etc., and was the first author of 14 articles. He applied for 11 invention patents, 4 first inventor authorizations, and 4 authorized software copyrights. He won the CHIP2018 Best Paper Award from the Chinese Information Society of China. He has long served as a reviewer for important journals in the field IEEE JBHI, AIM, JMIR, CMPB, ESWA, IJMI, and JBI.

Chen Jun

Chen Jun, MD, chief physician, master’s supervisor, currently serves as deputy director of the Pathology Department of Nanjing Drum Tower Hospital, deputy director (in charge) of the hospital’s biobank, and director of the Nanjing Clinical Biobank Quality Control Center. He is good at combining clinical, imaging, genetic testing, etc. to complete difficult pathological diagnosis of hepatobiliary and pancreatic tumors, liver diseases, bone and soft tissue tumors, head and neck tumors, etc. As one of the authors, he participated in the writing of “Expert Consensus on Pathological Diagnosis of Intrahepatic Cholangiocarcinoma (2022 Edition)”, “CSCO Guidelines for the Diagnosis and Treatment of Biliary Malignant Tumors (2020-2024)”, and “Standardized Pathological Diagnosis Guidelines for Primary Liver Cancer (2015 Edition)”. He is currently a member of the Liver Tumor Special Committee of the China Branch of the International Hepatobiliary and Pancreatic Association, a member of the Biliary Tumor Special Committee of the Chinese Anti-Cancer Association, a member of the Biliary Tumor Committee and Liver Cancer Committee of CSCO, a member of the Pathology Committee of the Chinese Association of Research Hospitals, a standing member of the Pathology Branch of the Jiangsu Provincial Medical Association and leader of the Gastroenterology Group, a standing member of the Tumor Pathology Branch of the Jiangsu Anti-Cancer Association, a standing committee member of the Pancreatic Disease Branch of the Jiangsu Medical Doctors Association, and a member of the Liver Disease Branch of the Jiangsu Medical Association. He has won the “Six Peak Talents of Jiangsu Province”, “Nanjing Young Health Talents”, the second prize of Jiangsu Province Medical Science and Technology Award, the second prize of Jiangsu Province Medical New Technology Introduction Award, etc. He presided over major projects for the development of medical science and technology in Nanjing and other topics. In the past five years, he published 18 papers as the first author or corresponding author, 15 of which were included in SCI.

Chen Jiu

Chen Jiu, Doctor of Medicine, visiting scholar in the United States, professor, researcher, industrial professor of Jiangsu Province, doctoral supervisor, and postdoctoral cooperative supervisor. Deputy director of the Institute of Medical Imaging and Artificial Intelligence of Nanjing University, executive director of the Nanjing University-Gulou Hospital Intelligent Imaging Research Institute, and executive director of the Nanjing Applied Mathematics Center-Drum Tower Hospital Medical Imaging Joint Laboratory. Nanjing Drum Tower Hospital’s “High-level Talent Introduction”, Jiangsu Province’s “333 High-level Talents” training target, Nanjing City’s “Outstanding Youth Fund Project” winner, and the Ministry of Education’s Degree Center Review Expert. He is a member of the Medical Artificial Intelligence Professional Committee of the Chinese Hospital Association and a member of the Dementia Disease Branch of the China Association for the Promotion of International Healthcare Exchange. Hosted more than 10 projects at national natural science, provincial and ministerial levels. Currently engaged in neuroimaging, artificial intelligence, and personalized precision intervention for the AD disease spectrum (AD, MCI, SCD). Published more than 50 SCI papers as the first/corresponding author (including co-authors). He serves as deputy editor-in-chief of “Journal of Alzheimer’s Disease” and deputy editor-in-chief of one monograph. He has won the second prize of the 2023 “Science and Technology Jiangsu” Innovation and Entrepreneurship Competition, the first prize of Jiangsu Province New Technology Introduction in 2022, and more than 10 other awards.

Zhang Bing

Zhang Bing, chief physician, professor, doctoral supervisor of Nanjing Drum Tower Hospital, MD, postdoctoral fellow at Mayo Clinic, Outstanding Youth of the Chinese Radiology Association; a famous doctor in the country with outstanding style; a high-level talent in Jiangsu Province. Currently, he is deputy secretary of the Party Committee and director of the Medical Imaging Center of the Drum Tower Hospital Affiliated to Nanjing University School of Medicine; deputy director of the Institute of Brain Science of Nanjing University; director of the Institute of Imaging and Artificial Intelligence of Nanjing University; member of the Radiologist Branch of the Chinese Medical Doctor Association and deputy leader of the neuroimaging group; deputy director and secretary-general of the Medical Imaging Center Branch of the Chinese Hospital Association; Jiang Vice President of the Jiangsu Medical Association; Vice President of the Radiologist Branch of the Jiangsu Medical Association; Vice Chairman of the Stroke Branch of the Jiangsu Medical Association and leader of the Cerebrovascular Imaging Group; Member of the Standing Committee of the Radiology Branch of the Jiangsu Medical Association and leader of the Quality Intelligence Group; Chairman of the Radiology Branch of the Nanjing Medical Association; Director of the Nanjing Branch Center of the Radiation Diagnosis Quality Control Center of Jiangsu Province.

Yang Weiyi

Yang Weiyi, Ph.D., is currently a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute, and a youth committee member of the Chinese Research Hospital Association. He graduated from the School of Communication Engineering of Jilin University with a bachelor’s degree and a doctoral degree, and received his doctorate in October 2022. He went to the Department of Biomedical Engineering at McGill University for joint training and studied under Robert E Kearney, an academician of the Canadian Academy of Engineering and an academician of the American Academy of Biomedical Sciences. Now he is mainly engaged in research in the fields of biomedical signal processing and the development of intelligent diagnostic systems. Currently, he is presiding over the Jiangsu Provincial Basic Research Program Natural Science Foundation (2024.09-2027.08). He has published more than 20 SCI academic papers in high-level international journals such as “Information Sciences”, “Knowledge-based systems”, and “Artificial intelligence in medicine”. Google Scholar shows that the paper has been cited more than 500 times, with the highest number of citations for a single article being 152 times. He has served as a reviewer for high-level SCI journals such as Information Fusion and Information Sciences. Has applied for multiple invention patents, 4 of which have been authorized.

Cao Zheng

Cao Zheng, Ph.D., is currently a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Graduated with a PhD from the School of Computer Science and Technology, Zhejiang University in 2024. The research direction is medical artificial intelligence methods driven by domain knowledge, mainly including medical imaging intelligent diagnosis, biological/chemical informatics and AI4Science. He has published more than ten papers in top industry journals and conferences, been cited more than 200 times, and has been authorized more than 40 Chinese invention patents. He has received more than ten commendations from Zhejiang University, including Outstanding Graduate Students, Three/Five Best Graduates, Outstanding Youth League Cadres, and Outstanding Graduate Students. Served as a reviewer for several journals or conferences such as Information Fusion, Briefings in Bioinformatics, Artificial Intelligence Review, Neruocomputing, Scientific Reports, Multimedia Systems, etc.

Zhou Wei

Zhou Wei, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Obtained a bachelor’s degree in engineering (electronic information engineering) from Sichuan University in June 2019, and a doctorate in engineering (biomedical engineering) from Fudan University in June 2024. His supervisor is Professor Chen Wei. During his PhD, he participated in many scientific research projects such as the National Natural Science Foundation of China’s key projects, the Ministry of Science and Technology’s key research and development plan projects, and the Shanghai Municipal Science and Technology Commission’s major projects.

Ren Mucheng

Ren Mucheng, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. Obtained a bachelor’s degree in science from the University of Melbourne in December 2015, a master’s degree in engineering (electronics and electrical engineering) from the University of Melbourne in December 2017, and a doctorate in engineering (computer science and technology) from Beijing Institute of Technology in 2023. His supervisor is Professor Huang Heyan. During his Ph.D., he conducted scientific research internships at Microsoft Engineering Academy STCA and Alibaba Damo Academy, and participated in a number of scientific research projects such as National Natural Science Foundation key projects, National Natural Science Foundation Enterprise Innovation and Development Joint Fund projects, and Beijing Municipal Fund key projects.

ESSE SANDRINE JECICA(Jessica)

EDUCATION PhD Student, School of Artificial Intelligence, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, PR China Major: Artificial Intelligence Minor: Deep Learning in Medical Image Analysis

Ming Wenlong

Ming Wenlong, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He received his bachelor’s degree from Jilin University in July 2016, and was later recommended to study for a master’s and doctoral degree in biomedical engineering at Southeast University, and received his doctorate in July 2023. During the doctoral period, from April 2022 to April 2023, as a jointly trained doctoral student, I went to the Medical Image Computing Department of the German National Cancer Research Center (DKFZ) for exchange and study. The supervisor is Professor Dr. Klaus H. Maier-Hein.

Li Jun

Educational experience Undergraduate 2016/09/01 - 2020/06/05 Fujian Normal University Master 2020/09/22 - 2023/06/15 Fujian Agriculture and Forestry University PhD 2023/09/10 - Present Nanjing University of Information Science & Technology

Ge Zheng

Ge Zheng, doctor of medicine, chief physician, professor, doctoral supervisor, and postdoctoral co-supervisor. Currently, he is the director of the Hematology Department of Zhongda Hospital Affiliated to Southeast University, the director of the Institute of Hematology of Southeast University, the director of the International Collaborating Laboratory of Hematology, the director of the Collaborative Transformation Innovation Center for Precision Diagnosis and Treatment of Malignant Hematological Diseases of Jiangsu Research Hospital Association, and the director of the Leukemia and MDS Center of Nanjing Zhongda. Main research directions: medical-engineering integration of hematological malignancies, clinical transformation, artificial intelligence precision diagnosis and treatment, medical big data, etc. He has presided over 4 projects of the MMAAP Medical Fund of the United States, 4 general projects of the National Natural Science Foundation of China, 20 provincial key research and development projects, etc., and is a young and middle-aged leading talent of Jiangsu Province’s “333 High-level Talent Project” and a key medical talent of Jiangsu Province. Research results have been published in authoritative journals in the field of hematology such as Blood and Leukemia. He serves as a member of the Hematology Branch of the Chinese Medical Doctor Association, a member of the Hematology Branch of the Chinese Society of Integrated Traditional Chinese and Western Medicine, a member of the Hematology Branch of the Chinese Society of Traditional Chinese Medicine, a member of the Hematology Branch of the Chinese Geriatrics Society, the deputy director of the Hematology Branch of the Jiangsu Provincial Medical Association and the deputy leader of the leukemia group, the vice president of the Hematology Physician Branch of the Jiangsu Medical Doctors Association, the chairman of the Leukemia and MDS Special Committee of the Jiangsu Research Hospital Association, and the deputy chairman of the Hematology Branch of the Jiangsu Geriatrics Society.

Chai Renjie

Chai Renjie, chief professor and second-level professor of Southeast University, executive dean of the Institute of Advanced Life and Health, and deputy dean of the School of Life Sciences and Technology of Southeast University; has been selected into 9 talent plans including ****, chief scientist of the National Key R&D Program of the Ministry of Science and Technology, Youth Thousand Talents, and National Outstanding Youth. Main research direction: Study on the multi-gene coordinated regulation mechanism of endogenous stem cell regeneration of hair cells and neurons.

Qi Xiaolong

Qi Xiaolong, professor, doctoral supervisor, selected into the National High-Level Talent Program, assistant to the president of Zhongda Hospital Affiliated to Southeast University, director of the Center for Portal Hypertension; founder of CHESS, chairman of the alliance; founder of PH&C, editor-in-chief of the journal; chairman of the Portal Hypertension Alliance of the National Center for Infectious Diseases; Chairman of the Portal Hypertension Professional Committee of the Chinese Association for the Promotion of Human Health Science and Technology; Vice Chairman of the Portal Hypertension Outreach Committee of the American Society for the Study of the Liver.

Lu Jian

Lu Jian, Ph.D. in Imaging Medicine and Nuclear Medicine, is an attending physician at the Interventional and Vascular Surgery Department of Zhongda Hospital Affiliated to Southeast University, a best young scholar at Southeast University, a postgraduate tutor at the School of Medicine, and a young and middle-aged academic leader in Jiangsu Province’s “333 High-Level Talent Training Project.” Selected into the National High-Level Talent Program. Focusing on innovative areas of tumor treatment such as radioactive particle stents and interventional surgical robots, the research results have been recommended by 7 domestic and foreign medical guidelines. Main research directions: intelligent diagnosis and treatment of major diseases, research and development of intelligent interventional devices, and clinical research on artificial intelligence.

Anant Madabhushi

Dr Madabhushi’s pioneering work in developing novel machine vision and AI based approaches for interrogating routinely acquired digital pathology and radiology scans is helping oncologists treat patients suffering from brain, lung, prostate, colorectal, breast, and blood cancer. Most recently, to help combat COVID-19, he adapted technology from his work on lung cancer to create a new artificial intelligence tool that uses computers to digitally analyze CT scans to identify patients who require ventilators for the coronavirus5. He places special emphasis on eliminating racial disparities in medicine by identifying underlying biological variations in disease appearance between populations, which can then be specifically targeted, to enable population-based personalized risk calculators. He is also taking this logic to another minority population, Veterans, where their unique exposure to wartime environments and particular lifestyle choices, make them different from the civilian population and thus requiring training with Veteran data.

Zeng Xian

Zeng Xian, Ph.D., is a lecturer at the School of Artificial Intelligence of Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated from Huazhong University of Science and Technology with a bachelor’s degree in 2016 and a doctorate from Zhejiang University in 2022. The research direction is clinical big data-driven medical clinical intelligent decision-making auxiliary methods, which mainly include congenital heart disease risk warning and prognosis analysis, patient similarity analysis based on electronic medical records, etc. Currently, he has published 6 SCI papers as the first author or co-first author, including JAMIA (IF=7.9), the top journal in the field of medical informatics, and Scientific Data (5-year IF=11.2), the flagship data journal of the Nature series.

ABU BAKOR HAYAT ARNOB(Anon)

EDUCATION Nanjing University of Information Science and Technology, Major : Masters in Artificial Intelligence 2022-Current Huaian Institute of Technology, China Major : Bachelor in Software Engineering 2018-2022

GOMA TSHIVETTA Christian Fersein Jorvialom (Fu Leisen)

EDUCATION Msc, School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, Jiangsu, PR China Major: Computer Science & Technology

Gan Xiao

Gan Xiao, Ph.D., is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He graduated from the Science Intensive Department of Kuang Yaming College of Nanjing University, and later obtained a doctorate in physics from Pennsylvania State University in the United States. After graduation, he worked as a postdoctoral researcher at Northeastern University and Pennsylvania State University in the United States. He studied under Professor Albert-László Barabási and Professor Réka Albert, the founders of network science, and Professor Sarah M. Assmann, the former president of the American Society of Plant Biologists. He engaged in interdisciplinary research on network science and biomedicine. He has published many papers in high-level journals such as PNAS, and has been cited by Google Scholar more than 500 times. The current research directions are network medicine theory and modeling biological signal transduction network.

Wan Zhuo

Wan Zhuo, Ph.D., is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He received his bachelor’s and master’s degrees in computer science from Xi’an University of Architecture and Technology and the University of Warwick, UK, respectively, and received his PhD in computer science from the School of Computer Science, University of Warwick, UK. Currently, as the first author (including co-authors), he has published two SCI papers (SCI Area 1) and accepted one (SCI Area 1) in international journals in related fields, including Neuroimage (two articles, IF=6.5), a top journal in the field of neuroimaging, and EBioMedicine (one article, IF=8.2), a comprehensive sub-journal of The Lancet.

Li Ziang

Educational experience Degree: Bachelor School: Nanjing University of Information Science & Technology Major: Automation Time: 2016.9-2020.6 Degree: Master School: Nanjing University of Information Science & Technology Major: Control Science and Engineering Time: 2020.9-2023.6

Cao Peng

Zhou Zhenghao

Educational experience Undergraduate: Jincheng College of Nanjing University of Aeronautics and Astronautics Graduate student: Nanjing University of Information Science & Technology Relevant experience From 2017 to 2019, he served as a member of the Science, Innovation and Maintenance Department of Jincheng College of Nanjing University of Aeronautics and Astronautics

Zhang Haomin

Educational experience 2022-present Master student, School of Automation, Nanjing University of Information Science & Technology 2017-2021 Undergraduate study at School of Automation, Nanjing University of Information Science & Technology

Qiu Youhui

Educational experience Bachelor’s degree, School of Automation, Nanjing University of Information Science & Technology Major: Automation September 2017 - June 2021 (graduated) Master student at the School of Automation, Nanjing University of Information Science & Technology

Qiu Wentao

2017.09-2021.06 Nanjing University of Information Science & Technology Measurement and Control Technology and Instruments 2021.09-2023.06 Nanjing University of Information Science & Technology Control Science and Engineering Relevant experience

Lin Wenxuan

Translated from the original Chinese source.

Li Yuan

Educational experience Bachelor’s degree, School of Computer Science, University of Nanhua Major: Medical Information Engineering GPA: 3.48/4.0 September 2018 - June 2022 Project experience School of Computer Science, University of Nanhua - National Innovation Project: September 2020 - June 2022

Hong Shanshan

Degree: Bachelor School: Nanjing University of Information Science & Technology Major: Measurement and Control Technology and Instruments Time: 2017.9-2021.6 Degree: Master School: Nanjing University of Information Science & Technology Major: Control Science and Engineering Time: 2021.9-2024.6

Han Peng

2017.09-2021.06 Nanjing University of Information Science & Technology Automation 2021.09-2023.06 Nanjing University of Information Science & Technology Control Science and Engineering Relevant experience: Participated in the 9th Medical Imaging Computing Seminar (MICS)

Han Ling

Educational experience Bachelor of Information Science and Technology, Nantong University Major: Internet of Things Engineering GPA: 3. 1 /4.0 September 2018 - June 2022 Project experience Nantong University School of Information Science and Technology - Micro Mall Project: September 2021 - June 2022

Guo Guanchen

Educational experience 2017.9-2021.6 Bachelor of Engineering, College of Automation, Qingdao University of Science and Technology GPA: 3.8/5.0 2021.9- Present Currently studying for a Master of Engineering in the School of Automation, Nanjing University of Information Science & Technology

Ding Feng

Cui Haoyu

Educational experience 2018.9 – 2022.6 Chengdu University of Technology - Bachelor’s degree in Software Engineering 2022.9 to present Nanjing University of Information Science & Technology - Master’s degree in Artificial Intelligence

Chen Songling

education Undergraduate institution: Huzhou Normal University Major: Electrical Engineering and Automation GPA ： 4.33/5.0 Skills Programming language: Python language, Matlab language Other skills: Machine Learning and Image Processing

Chen Depin

education Undergraduate institution: Nanjing University of Information Science & Technology, Automation Major Graduate student: Nanjing University of Information Science & Technology, majoring in control science and engineering

Ao Nianfei

Education experience 2017.9-2021.6 Institution: Nanjing University of Information Science & Technology Major: Automation 2021.9-2023.2 Institution: Nanjing University of Information Science & Technology Major: Control Science and Engineering Skills Python language, Matlab language

Zhu Haidong

Zhu Haidong, MD, deputy chief physician, master’s tutor, deputy director of Interventional and Vascular Surgery, Zhongda Hospital Affiliated to Southeast University. He is currently an executive member of the Asia-Pacific Society of Interventional Radiology, a standing committee member and deputy director-general of the Interventional Physician Branch of the Chinese Medical Doctor Association, and the vice president of the Interventional Physician Branch of the Jiangsu Medical Doctor Association.

Zhang Xiaoliang

Zhang Xiaoliang, chief physician, doctor of medicine and doctoral supervisor at Cardiff University in the UK, is currently the director of the Department of Nephrology, Zhongda Hospital Affiliated to Southeast University, and the deputy director of the Institute of Nephrology of Southeast University. He has successively presided over four National Natural Science Foundation projects, one Jiangsu Provincial Natural Science Foundation project, one Jiangsu Provincial Key Talent Project, one Jiangsu Provincial Clinical Medical Research Center (BL2014080) project sub-project, three central and provincial university innovation projects, two Southeast University school-level teaching reform projects, and has supervised more than 40 doctoral and master students. The first and corresponding author has published more than 80 professional research articles, including more than 50 SCI articles, and written many textbooks and monographs.

Zhang Teng

Zhang Teng, Ph.D., is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He graduated from Zhejiang University with a bachelor’s degree in 2010, a master’s degree in electrical engineering from Zhejiang University in 2013, and a doctorate in imaging and interventional radiology from the Chinese University of Hong Kong in 2018. From 2018 to 2021, he engaged in postdoctoral research at Zhejiang University, and was awarded the 2018 Postdoctoral International Exchange Program Introduction Project. From December 2021, he will be a full-time teacher at the School of Artificial Intelligence, Nanjing University of Information Science & Technology. Now he is mainly engaged in research in the fields of medical image analysis, pattern recognition and other fields. In recent years, he has published 5 SCI papers as the first author and co-first author in top journals such as NeuroImage and European Journal of Nuclear Medicine & Molecular Imaging, and serves as a reviewer for journals such as European Radiology.

Zhang Jingkai

Degree: Bachelor School: Nanjing University of Information Science & Technology Major: Automation Time: 2016.9-2020.6 Degree: Master School: Nanjing University of Information Science & Technology Major: Control Engineering Time: 2020.9-2023.6

Zengrui Zhao, Msc

Translated from the original Chinese source.

Yuan Yonggui

Yuan Yonggui, MD, chief physician, young distinguished professor, doctoral supervisor, outstanding key medical talent in Jiangsu Province, second-level training target of the fifth phase of Jiangsu Province’s “333 Project”, leader of the psychiatry innovation team of Jiangsu Province’s “Strengthening Health through Science and Education”, director of the Department of Psychology and Psychiatry, Zhongda Hospital Affiliated to Southeast University, member of the International Council of Psychosomatic Medicine (ICPM), and visiting scholar at the Department of Psychiatry at the University of Florida. He has been engaged in research on the clinical diagnosis, treatment and pathogenesis of depression, the clinical diagnosis, treatment and pathogenesis of psychosomatic-related disorders, and the mechanisms of psychological assessment and psychotherapy for nearly thirty years.

Yuan Lei

Translated from the original Chinese source.

Xu Xiaofeng

Educational experience Degree: Bachelor School: Nanjing University of Information Science & Technology Major: Automation Time: 201 5.9-20 19.6 Degree: Master School: Nanjing University of Information Science & Technology Major: Control Science and Engineering Time: 2020.9-2023.6

Xu Bin

Xu Bin, MD, associate chief physician, doctoral supervisor, postdoctoral fellow at MD Anderson Cancer Center of the University of Texas, Director of the Science and Technology Department of Zhongda Hospital Affiliated to Southeast University, Deputy Director of the Institute of Urology of Southeast University, Deputy Director of General Surgery, Deputy Director of the Department of Surgery, Postdoctoral fellow at MD Anderson Cancer Center (USA), and visiting scholar at Northwestern University (USA) and New York University Roswell Park Cancer Center (USA). He has been engaged in front-line clinical, scientific research and teaching work in urology for a long time. Focus on non-coding RNA and urinary tract tumors, tumor microenvironment and treatment resistance mechanisms, and clinical multi-center research.

Xie Jinbing

Xie Jinbing, professor and doctoral supervisor, was selected into the National High-level Talent Project “Torch Plan” and Nanjing Purple Mountain Talent Pioneer Plan Talent. He studied abroad in the Chemical Engineering Department of Wayne State University in the United States and the Nanomedicine Innovation Center in Japan. He has a multidisciplinary research background in life sciences, medical imaging, and biomedical engineering, and has long been engaged in research on multifunctional nanobiotechnology, molecular imaging, and disease treatment. In recent years, he has published more than 30 papers in internationally renowned journals such as Nature Nanotechnology, Chemical Society Reviews, Nature Biomedical Engineering, Advanced Materials, ACS Nano, Biomaterials, Theranostics, and Advanced Healthcare Materials. The research results have been highlighted and commented on by many media. He has received funding from the National High-level Talent Project, the National Natural Science Foundation of China and the Youth Project, and the Japan Society for the Promotion of Science (JSPS) Special Researcher Award. He was invited to serve as a guest editor for the SCI magazines Frontiers in Bioengineering and Biotechnology and Molecules, and has long been a reviewer for many international academic journals such as Biomaterials, Theranostics, Chemical Engineering Journal, and Biotechnology Journal. The main research directions of the integration of medicine and engineering are: 1) Apply artificial intelligence to study imaging of tumors and neurovascular diseases; 2) Apply artificial intelligence to study the interaction between biological materials and the body; 3) Apply artificial intelligence to conduct drug screening research, etc.

Xie Jianfeng

Xie Jianfeng, deputy chief physician, doctoral supervisor, young chief professor of Southeast University, assistant director of the Department of Critical Care Medicine, Zhongda Hospital Affiliated to Southeast University. National top-notch young talents, Jiangsu Province 333 Project third-level talents, Jiangsu Province Young Medical Talents, visiting scholar at Emory University in the United States. Currently, he serves as the deputy leader of the youth group of the Society for Prevention and Treatment of Bacterial Infection and Drug Resistance of the Chinese Medical Association, a youth member of the Critical Disease Committee of the Chinese Pathophysiology Society, a member of the Critical Care Medicine Branch of the Jiangsu Provincial Medical Association, and a member of the expert database of the Emergency Office of the National Health Commission.

Xie Chunming

Xie Chunming, deputy director of the Department of Neurology, Zhongda Hospital Affiliated to Southeast University, deputy director of the Neurology Teaching and Research Section, researcher, deputy chief physician, and doctoral supervisor. Outstanding Young Physician in the Department of Neurology in China, Top Health Talent in Jiangsu Province, Six Peak Talents in Jiangsu Province, “333 High-level Talent” in Jiangsu Province, National Fund Committee general project review expert. The main research directions include: basic and clinical research on Alzheimer’s disease, brain network mechanisms of depression and suicide, and neurocognitive and functional imaging research.

Wu Guoqiu

Wu Guoqiu, Ph.D., professor, chief technician, doctoral supervisor. Director of the Laboratory Department of Zhongda Hospital Affiliated to Southeast University, Director of the Department of Laboratory Medicine of Southeast University School of Medicine, and Director of the Institute of Clinical Drug Biotechnology of Southeast University. He is also a member of the Standing Committee of the Tumor Immunity and Companion Diagnostics Professional Committee of the Chinese Anti-Cancer Association, the Standing Committee of the POCT Technical Branch of the China Medical Equipment Association, the Standing Committee of the China Integrated Traditional Chinese and Western Medicine Tumor Immunity Professional Committee, the Deputy Chairman of the Clinical Laboratory Special Committee of the Jiangsu Provincial Hospital Association, the Deputy Chairman of the In-Vitro Diagnostic Technology Professional Committee of the Jiangsu Biomedical Engineering Society, the Molecular Diagnostic Professional Group Member of the Laboratory Branch of the Jiangsu Medical Association, and the Deputy Chairman of the Hospital Biosafety Management Special Committee of the Nanjing Hospital Association.

Wei Ma, Msc

Translated from the original Chinese source.

Wang Yuancheng

Wang Yuancheng, MD, deputy administrative director of the Department of Radiology, Zhongda Hospital Affiliated to Southeast University, has been engaged in imaging diagnosis for more than 10 years. Wang Yuancheng, MD, deputy chief physician, has been engaged in imaging diagnosis for more than ten years. His expertise and research fields are abdominal imaging, imaging artificial intelligence and functional magnetic resonance imaging. He is a visiting scholar at the Prince of Wales Hospital in Hong Kong (2019). Hosted one youth project of the National Natural Science Foundation of China and one youth project of the Natural Science Foundation of Jiangsu Province, and was one of the “Six Talent Peaks” and “333” high-level talent training targets in Jiangsu Province.

Wang Hongxing

Wang Hongxing, Ph.D., chief physician, doctoral supervisor, key young medical talent in Jiangsu Province, “333” young and middle-aged academic leader in Jiangsu Province, director of the Department of Rehabilitation Medicine, Zhongda Hospital Affiliated to Southeast University. Mainly focuses on neuromuscular and bone joint rehabilitation and rehabilitation engineering, and neuroelectrophysiology.

Song Gu, Msc

Translated from the original Chinese source.

Shriver

Shi Ruihua, Director of the Department of Gastroenterology, Zhongda Hospital Affiliated to Southeast University, Ph.D., second-level professor, chief physician, postdoctoral and doctoral supervisor, PHD supervisor, MD supervisor, master’s supervisor. Studied at Sheffield University in the UK and Virginia Commonwealth University in the US.

Rui Yunfeng

Rui Yunfeng, professor, chief physician, doctoral supervisor. Assistant to the Dean of the School of Medicine of Southeast University, Deputy Director of the Department of Surgery, Deputy Director of the Department of Orthopedics, Zhongda Hospital Affiliated to Southeast University, and Deputy Director of the Institute of Traumatology and Orthopedics of Southeast University. PhD and postdoctoral fellow at the Chinese University of Hong Kong. He serves as an expert in the core library of biological materials of the Ministry of Science and Technology, an evaluation expert in the National Natural Science Foundation of China, an evaluation expert in the Degree and Graduate Education Development Center of the Ministry of Education, an expert in the science and technology expert database of Shanghai, Jiangsu Province and Jiangxi Province, an evaluation expert in the centralized procurement of high-value medical consumables for medical institutions in Jiangsu Province, and an evaluation expert in key projects of the Nanjing Municipal Health Commission. Clinical expertise includes: minimally invasive internal fixation and joint replacement treatment for elderly patients with hip fractures, and perioperative multidisciplinary collaborative diagnosis and treatment (MDT); minimally invasive treatment of osteoporotic fractures; multidisciplinary diagnosis and treatment of severe and multiple trauma; diagnosis and treatment of foot and ankle diseases; acute and chronic tendon and ligament injuries.

Quan Wang, Msc

Translated from the original Chinese source.

Magen Mountain

Ma Genshan, male, doctor of medicine, second-level professor, chief physician, doctoral supervisor, director of the Department of Cardiovascular Medicine, Zhongda Hospital Affiliated to Southeast University, and deputy director of the Institute of Cardiovascular Diseases of Southeast University. He has been engaged in interventional cardiology since 1989. He studied in Australia and is good at the interventional diagnosis and treatment of various cardiovascular diseases. In particular, the interventional treatment technology of coronary heart disease enjoys a high reputation in China. He has independently completed and guided more than 10,000 cases of coronary artery balloon angioplasty and stent surgery, and organized and chaired 19 international academic conferences on coronary heart disease revascularization.

Lu Haoda

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Li Ling

Li Ling, doctor of medicine from Germany, postdoctoral fellow at UCLA in the United States, chief physician, professor, and doctoral supervisor. Director of the Pancreatic Research Institute of Southeast University, Director of the Glucolipid Metabolism Research Center of Southeast University, Assistant to the President and Director of the Endocrinology Department of Zhongda Hospital Affiliated to Southeast University. He has long been committed to research related to pancreatic endocrine and exocrine diseases and islet function damage, actively promotes the integration of medicine and engineering and innovative transformation, and carries out multi-faceted international cooperation. Published more than 50 papers in SCI journals such as Nature Communications, including 5 high-impact papers with scores of 10 or above. He serves as a communication reviewer for the Department of Medical Sciences of the National Natural Science Foundation of China, a doctoral dissertation review expert for the Ministry of Education, and a guest editor of SCI cutting-edge journals; a youth committee member of the Diabetes Branch of the Chinese Medical Association, a deputy chairman of the Diabetes Branch of the Jiangsu Medical Association, and a deputy chairman of the Endocrinology Branch of the Nanjing Medical Association.

Li Jin

Li Jin is a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Intelligent Medical Research Institute. He graduated from Xiamen University with a bachelor’s degree and a Ph.D. from the School of Biomedical Engineering and Instrument Science, Zhejiang University. He presided over the Youth Project of the National Natural Science Foundation of China and participated in many projects such as the National Natural Science Foundation of China, major scientific research projects of Zhijiang Laboratory, and the British NIHR scientific research projects. During the doctoral stage, he was selected into the “Zhejiang University Doctoral Graduate Academic Rising Star Program” and won honors such as Zhejiang University’s outstanding graduate students. In 2021, funded by the China Scholarship Council (CSC), he will go to the University of Oxford in the UK for joint training. The main research directions are: electronic medical record (EHR) data mining based on machine learning; clinical decision support based on graph models and large language models. Mainly committed to applying medical artificial intelligence methods to: 1) clinical intelligent decision-making; 2) patient prognosis risk assessment; 3) intelligent prevention, diagnosis and treatment of diseases, etc., so as to assist the role and value of medical big data in clinical practice.

Lei Wang, Msc

Translated from the original Chinese source.

Ju Shenghong

Ju Shenghong, Doctor of Medicine, is chief professor, chief physician and doctoral supervisor of Southeast University. He is currently the deputy dean of the School of Medicine of Southeast University and the director of the Imaging Department of the Affiliated Zhongda Hospital. He is a winner of the National Science Fund for Distinguished Young Scholars, a national “****” leading scientific and technological innovation leader, and the head of the “Key Field Innovation Team” of the Ministry of Science and Technology.

Jiao Yun

Jiao Yun, a doctor of engineering jointly trained by Southeast University and the University of Pennsylvania, is the director of the Network Information Center of Zhongda Hospital Affiliated to Southeast University, associate professor of radiology, and master’s tutor. He has long been engaged in research in medical informatics and medical imaging. Main research directions: biomedical informatics, medical imaging and artificial intelligence. Currently, he has presided over one National Natural Science Foundation of China general project, one youth project, one Jiangsu Provincial Natural Science Foundation general project, and participated in the National Key Basic Research Program (973 Program) as an academic backbone. He has participated in several National Natural Science Foundation of China general and major research projects. He has won the second prize of the National Science and Technology Progress Award in 2016 (ranked fifth), the first prize of the Science and Technology Progress Award of the Ministry of Education in 2012 (ranked seventh), the second prize of Jiangsu Province Science and Technology Award in 2014 (ranked fourth), and the 2013 Jiangsu Provincial Science and Technology Award. The third prize of Jiangsu Province Science and Technology Award (ranked fourth); won the “Young Medical Talents of Science, Education and Health Project” of Jiangsu Province (2017). He serves as a standing member of the Information and Application Security Protection Academic Committee of the Chinese Society for Health Information and Health Medical Big Data, a member of the CHIMA Youth Committee, and a member of the Physics and Engineering Group of the Magnetic Resonance Professional Committee of the Chinese Society of Medical Radiology. He has published more than 30 SCI articles in total.

Jiao Yiping

Jiao Yiping, Ph.D., is currently a lecturer at the School of Artificial Intelligence at Nanjing University of Information Science & Technology, and a core member of the Jiangsu University Key Laboratory of Intelligent Medical Image Computing and the Smart Medical Research Institute. He graduated with a master’s and doctoral degree from the School of Automation of Southeast University. During his period, he received funding from the China Scholarship Council and went to the Netherlands for a year of joint training with the Computational Pathology Group of Radboud University Medical Center. His main research directions are computational pathology and machine learning. He has rich experience in histopathological full scan slice analysis. He has published six SCI papers as the first author and has authorized one invention patent. Research topics include cancer focus detection and tumor microenvironment analysis in slices of lung cancer, colorectal cancer, breast cancer, and pancreatic cancer, as well as supporting slice quality control, active learning, and staining pattern analysis and other technologies.

Gu Xiaochun

Gu Xiaochun, Ph.D., associate professor, researcher at Nanjing Translational Research Institute of Peking University (Jiangbei New District); Ph.D. of Southeast University, 2014 to 2016 He was a visiting scholar and postdoctoral researcher in the Department of Biomedical Engineering at the State University of New York at Stony Brook in the United States. He mainly used advanced imaging technology and new phenotypic technologies to conduct research on neurovascular and neuromodulation. With an interdisciplinary research background, he independently built a multispectral imaging system for synchronized neurovascular imaging and discovered the new role of glial cells in neurovascular coupling, which is important for CR in regulating neurovascular development. He has conducted a series of studies on cell biology, produced a series of relevant genetically modified animal disease animal models, participated in the co-construction of the Nanjing Brain Observatory and co-initiated the “Mesoscopic Brain Functional Connection Atlas” large scientific project.

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Chunyan Xu, Msc

Translated from the original Chinese source.

Cai Chengfei

Educational experience Undergraduate 2012/09/08-2016/06/20 Nanjing University of Information Science & Technology Master 2016/09/07-2019/06/20 Nanjing University of Information Science & Technology PhD 2022/09/12- present Nanjing University of Information Science & Technology