IMIC Lab

The Jiangsu Key Laboratory of Intelligent Medical Image Computing brings artificial intelligence, information science, engineering, and clinical medicine together to improve human health.

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.

Xu Bo, distinguished professor from Hongshen University of Chongqing, was specially invited to the school to give an academic report.

Report title: Intelligent oncology - from underlying logic to clinical application Speaker: Professor Xu Bo Unit: Chongqing University Reporting time: July 17, 2026 14:00-15:00 Reporting location: Room 1717, Linjiang Building

Professor Guorong Wu from the University of North Carolina at Chapel Hill was specially invited to give an academic report

Report title: Adaptive Sensorimotor Intelligence Through Cortical Oscillatory Synchrony (Adaptive Sensorimotor Intelligence Through Cortical Oscillatory Synchrony) Speaker: Professor Guorong Wu Unit: University of North Carolina at Chapel Hill, USA

Using intelligence as a bridge to protect life and health | IMIC Lab will undertake the 2026 series of international medical artificial intelligence training courses

From mid-June to early July 2026, the Jiangsu Key Laboratory of Intelligent Medical Image Computing (IMIC) of Nanjing University of Information Science & Technology undertook the teaching of the “2026 International Training Course on Medical Artificial Intelligence for Developing Countries”, “2026 Bulgaria Training Course” and “2026 International Summer School Camp”. This series of academic activities focuses on the core theme of “from multimodal medical data and imaging phenotypes to clinical decision-making” and brings together experts and scholars, health department managers, medical institution experts, and young trainees from dozens of countries and regions, including North Macedonia, Ghana, Turkey, Jordan, Nepal, Uruguay, Laos, Myanmar, France, Germany, Bulgaria, Russia, Italy, Malaysia, and Indonesia. Through systematic teaching of cutting-edge algorithms, academic reports by scholars, and practical teaching of interdisciplinary applications, the intersection and integration of “carbon-based life” and “silicon-based wisdom” are deeply deconstructed.

Many recent achievements of IMIC laboratory have been accepted by top conferences in the field.

From top journals to top conferences, the academic influence of Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC) is expanding in multiple dimensions. The IMIC Lab has been reporting frequently recently. A number of original results focusing on cutting-edge exploration have not only been steadily published in top journals, but have also successfully entered many top academic conferences. This article will introduce in detail the latest research progress of the IMIC laboratory at the top conference stage in the field.

Professor Roland Eils, academician of the German National Academy of Sciences, and his delegation came to the school for an exchange visit

On the afternoon of May 14, Professor Roland Eils, academician of the German National Academy of Sciences and executive director of the Institute of Intelligent Medicine of Fudan University, and his delegation were invited to visit our school. The accompanying experts include professors and researchers from Fudan University, Charité Berlin, Freie Universität Berlin, Max Planck Institute for Heart and Lung Research in Germany, as well as Ms. Liu Yuting, scientific research director of the Institute of Intelligent Medicine of Fudan University, and Mr. Li Jiebing, an industrial consultant. Representatives from Su Chang Co., Ltd. (Hong Kong), Jiangsu Soho Xinzhi Group Co., Ltd. and other companies accompanied the visit.

NEWER Biomedical Engineering 3+2 Bachelor's and Master's Bridge Program | Renew yourself and connect with the world - In NEWER, foresee your future

Project introduction and vision The “NEWER Biomedical Engineering Excellence Bridge Program” jointly launched by the Laboratory of Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys) of the New University of Lisboa (NOVA) in Portugal, the Key Laboratory of Intelligent Medical Image Computing (IMIC) of the School of Artificial Intelligence (College of Future Technology) of the Nanjing University of Information Science & Technology (NUIST), and the China-European Institute of Artificial Intelligence in Medicine (SEAM) is a 3+2 undergraduate and master’s degree integration project between Nanjing University of Information Science & Technology and the New University of Lisboa in Portugal. This project aims to further implement the strategic cooperation agreement between Nanjing University of Information Science & Technology and the New University of Lisboa in Portugal signed in July 2025, to build an education and scientific research bridge across Europe and Asia, and to deeply integrate the top faculty, teaching resources and unique advantages of the two universities in the field of biomedical engineering.

The paper of Wang Xiangxue’s research group from the IMIC laboratory was published in the internationally authoritative European Journal of Cancer

Recently, the research group of Professor Wang Xiangxue of Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC) of Nanjing University of Information Science & Technology collaborated with multi-center teams such as Emory University and Fudan University Cancer Hospital in the United States to publish the latest research results in the internationally authoritative journal “European Journal of Cancer” in the field of oncology (TOP of the First District of the Chinese Academy of Sciences).

The intersection of medicine and engineering jointly promotes children's health—The Children's Hospital of Nanjing Medical University and the School of Artificial Intelligence of Nanjing University of Science and Technology held a seminar

In order to deepen the cross-integration of medicine and engineering and promote in-depth collaborative innovation in the field of artificial intelligence technology and children’s medicine, on the afternoon of March 20, 2026, the Children’s Hospital Affiliated to Nanjing Medical University and the Key Laboratory of Intelligent Medical Image Computing (IMIC) jointly held an academic seminar on the cross-section of medicine and engineering. The expert team of the Children’s Hospital of Nanjing Medical University and the scientific research backbones in IMIC-related fields gathered together to conduct in-depth exchanges and discussions around the innovative applications of artificial intelligence in children’s medical research, clinical diagnosis and treatment, and children’s health security. At the meeting, representatives from both sides introduced the core research directions, scientific research results and clinical practice experience of their respective teams. They agreed that the intersection of pediatric medicine and artificial intelligence has broad development prospects. In the future, they will rely on their respective advantages to deepen cooperation in joint scientific research, data resource sharing, and joint talent training, and jointly promote the application of medical-engineering intersection technologies.

The clinical medicine discipline of Nanjing University of Information Science & Technology ranks among the top 1% in the world in ESI rankings

Recently, Clarivate Analytics released the latest data from the Essential Scientific Indicators Database (ESI) for March 2026. The clinical medicine discipline of our school entered the top 1% of the ESI global rankings for the first time, becoming the 11th discipline of the school to rank among the top 1% of the ESI global rankings. This breakthrough marks the remarkable results of our school’s cross-integration strategy of medicine and engineering, and the international influence of the discipline and scientific research strength have reached a new level.

The paper of Professor Luo Yuemei’s research group from IMIC Lab was published in the international authoritative journal Applied Soft Computing

Recently, the team of teacher Luo Yuemei from Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC) at Nanjing University of Information Science & Technology published the latest research results in the internationally authoritative journal “Applied Soft Computing” in the field of engineering technology and computer science.

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.

A collaborative paper between IMIC Lab and Fudan University Cancer Hospital was published in the collaborative journal npj Precision Oncology in Nature

Recently, the multi-modal medical data analysis innovation team of Nanjing University of Information Science & Technology, Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC) and related teams of Fudan University Cancer Hospital collaborated and published in the collaborative journal npj Precision Oncology of Nature.

2026

Hui Liu, Yanfeng Wu, Tingting Xue, Zhe Du, Jun Xu, and Tao Jiang, Machine learning-assisted parametric analysis and multi-criteria optimization of building performance: A case study on indoor environmental quality and energy efficiency, Energy Conversion and Management , vol. 349, 120825, 2026.[ Link to paper ]

Dr. Jin Qingchu from Northeastern University was specially invited to the school to give an academic report.

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The seminar on mathematics and statistical issues in medical research and the interdisciplinary symposium on science, engineering and medicine were successfully held

In order to promote interdisciplinary scientific research cooperation and academic resource sharing, the School of Mathematics and Statistics of Nanjing University of Information Science & Technology (referred to as the “Digital Institute”) and the Key Laboratory of Intelligent Medical Image Computing of the School of Artificial Intelligence (referred to as the “Intelligent Institute”), together with Jiangsu Provincial Hospital of Traditional Chinese Medicine and Nanjing First Hospital, jointly held a “Symposium on Mathematics and Statistics in Medical Research and an Interdisciplinary Symposium on Science, Engineering and Medicine” in the A1717 conference room of Linjiang Building on the afternoon of November 11, 2025. Teachers, scholars and clinical experts from the three fields of our school’s science and engineering colleges and cooperative clinical hospitals gathered together to launch an interdisciplinary “brainstorm” around cutting-edge issues in multiple fields, injecting new impetus into collaborative innovation and cooperation in related disciplines.

A multidisciplinary team of IMIC laboratories and environmental sciences proposed a protein interaction network framework that can reveal chemical toxicity

Recently, Professor Gan Xiao, Jiangsu University Key Laboratory of Intelligent Medical Image Computing, School of Artificial Intelligence, Nanjing University of Information Science & Technology, and Associate Professor Gao Bei, School of Environmental Science and Engineering, collaborated in a multidisciplinary team to publish a research paper titled “A Protein Interactome-Based Framework Reveals the General Toxicity of Chemicals” in Environmental Science & Technology, a top journal in the field of environmental science. This paper establishes a common toxicology theory and toxicity prediction method for chemicals based on the human protein interaction network (PPI). It reveals the common laws of diseases caused by chemicals from a systemic level for the first time and establishes a new multidisciplinary toxicology research paradigm.

The 2025 Academic Annual Conference of the Key Laboratory of Intelligent Medical Image Computing and the MICS Regional Academic Salon were successfully held in our school

On November 3, the “2025 Key Laboratory of Intelligent Medical Image Computing Academic Annual Conference and MICS Regional Academic Salon” hosted by Nanjing University of Information Science & Technology and jointly organized by the Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC Lab) and the Medical Image Computing Youth Symposium (MICS) was successfully held in our school. Jin Zikang, member of the Standing Committee of the Party Committee and Vice President of the school, was invited to attend the opening ceremony and deliver a speech. Experts and scholars from the Singapore Agency for Science, Technology and Research, National University of Singapore, Fudan University, Xiamen University, Southeast University, Nanjing University, Nanjing University of Science and Technology, Jiangsu University and other universities and research institutions attended the meeting. The meeting was chaired by Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology).

Chemical Materials and Artificial Intelligence: Interdisciplinary Academic Exchange Successfully Held

In order to promote the intersection of disciplines and promote the in-depth integration of artificial intelligence and chemical materials disciplines in cutting-edge fields such as smart medical care, on October 21, the Jiangsu University Key Laboratory of Intelligent Medical Image Computing in the School of Artificial Intelligence and the School of Chemistry and Materials jointly held an academic exchange meeting in the A1717 conference room of Linjiang Building. Relevant teachers from the two colleges gathered together to conduct in-depth discussions on the innovative applications of artificial intelligence, chemistry, and materials science in medical care, life sciences and other fields.

A holistic multimodal interaction model between histopathology and genomic profiles for patient survival prediction.

Abstract: Cancer survival prediction requires the integration of pathology whole-slice images (WSI) and genomic atlases, which is a challenging task due to the heterogeneity of the model itself and the complexity of modeling inter- and intra-modality interactions. Current methods usually adopt simple fusion strategies for multimodal feature integration, which cannot fully capture modality-specific and modality-common interactions, resulting in limited understanding of multimodal correlations and poor prediction performance. To compensate for these limitations, this paper proposes a multimodal representation decoupling network (MurreNet) to advance cancer survival analysis. Specifically, we first propose a multimodal representation decomposition (MRD) module to explicitly decompose pairs of input data into modality-specific and modality-common representations, thereby reducing redundancy between modalities. Furthermore, we further refine and update the decoupled representation through a novel training regularization strategy that imposes constraints on the distribution similarity, dissimilarity, and representativeness of modal features. Finally, the enhanced multi-modal features are integrated into the joint representation through the proposed deep ensemble orthogonal fusion (DHOF) strategy. Extensive experiments based on six TCGA cancer cohorts show that our MurreNet achieves state-of-the-art (SOTA) performance in survival prediction. This work was accepted by MICCAI2025, the top international conference in the field of medical image computing.

2025 International Medical Artificial Intelligence Conference and Artificial Intelligence Summer School were successfully held: jointly drawing a new blueprint for smart medical care

From July 27 to 30, 2025, the “2025 International Medical Artificial Intelligence Conference and Artificial Intelligence Summer School” was successfully held in the lecture hall of Area D, Linjiang Building, Nanjing University of Information Science & Technology.

The closing ceremony of the 3rd Nanjing University Brain Imaging Science and Artificial Intelligence Summer Training Camp was held at our school

On the afternoon of August 13, 2025, hosted by Nanjing Gulou Hospital, Nanjing University of Information Science & Technology-Nanjing Gulou Hospital Intelligent Imaging Research Institute, Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC), Nanjing University Brain Science Research Institute, Nanjing University Medicine The closing ceremony of the “Third Nanjing University Brain Imaging Science and Artificial Intelligence Undergraduate Summer Training Camp” co-organized by the Department of Medical Imaging of the Affiliated Gulou Hospital and the Nanjing Applied Mathematics Center-Drum Tower Hospital Medical Imaging Joint Laboratory was held in the lecture hall of Area D, Linjiang Building, Nanjing University of Information Science & Technology.

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,

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:

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

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

The intelligent diagnosis model based on biopsy pathology developed by Dr. Chengfei Cai of IMIC Lab can significantly improve the clinical diagnosis efficiency of inflammatory bowel disease.

The paper “IBDAIM: Artificial intelligence for analyzing intestinal biopsies pathological images for assisted integrated diagnosis of inflammatory bowel disease” by Dr. Cai Chengfei of Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC) was accepted by the International Journal of Medical Informatics. This result is the latest research result of cross-medical collaboration between the IMIC Lab (Professor Xu Jun’s team) and the Pathology Department of Drum Tower Hospital Affiliated to Nanjing University School of Medicine (Director Sun Qi’s team). It provides a new AI solution for the auxiliary diagnosis of inflammatory bowel disease. Current research in the field of computational pathology has made significant progress in the field of tumor pathology, but there are still obvious deficiencies in research on non-neoplastic lesions (especially inflammatory lesions). In particular, the identification and detection of intestinal inflammatory lesions face many challenges.

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.

The research results of Liu Mingxin, a doctoral student in the laboratory, were accepted by MICCAI2025, the top conference in the field of medical image computing.

The paper “Multimodal Representation Decoupling Network (MurreNet): Establishing an Integrated Multimodal Interaction Model between Histopathology and Genomic Atlas for Survival Prediction of Cancer Patients” by Liu Mingxin (supervisor: Professor Xu Jun), a doctoral student at Jiangsu University Key Laboratory of Intelligent Medical Image Computing (IMIC), was officially accepted by the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), the top conference in the field of medical image computing. This achievement is the latest innovative research result of IMIC laboratory in the field of computational pathology and multi-modal fusion, providing new solutions for cross-scale medical data: 1) pathology images and 2) multi-modal fusion of gene sequencing data and cancer survival prediction.

Teacher Luo Yuemei guides undergraduate students to publish papers in the journals of the Second District of the Chinese Academy of Sciences

Research background Deep learning has shown great potential in medical image analysis, especially in the task of retinopathy classification based on optical coherence tomography (OCT). However, deep learning models still face many challenges in the diagnosis of retinal diseases based on OCT images. For example, current classic deep learning methods treat images as a grid or sequence structure, which limits the capture of irregular and complex objects, thereby reducing flexibility. In addition, OCT equipment in different medical institutions has significant differences in image distribution (domain shift) due to differences in light source wavelength, detector sensitivity and imaging mode, which seriously restricts the generalization performance of deep learning models.

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

Professor Ma Yuxia from Lanzhou University was specially invited to the school to give an academic report

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The research results of Cai Chengfei, a doctoral student in the Key Laboratory, were accepted by Bioinformatics, a top journal in bioinformatics.

Cai Chengfei, a doctoral student in the Key Laboratory (mentor: Professor Xu Jun), has made progress in the field of medical artificial intelligence. His research paper on “Prediction of Crohn’s Disease Treatment Response Based on the Fusion of Clustering and Weakly Supervised Learning” was officially accepted by the top bioinformatics journal “Bioinformatics”. This achievement is an important manifestation of the cross-medical collaboration between the Key Laboratory and the Pathology Department of Drum Tower Hospital Affiliated to Nanjing University School of Medicine (directed by the team of Director Liu Yao and Director Sun Qi), and provides an innovative AI solution for the precise treatment of Crohn’s disease.

Professor He Huacheng from Oujiang Laboratory was specially invited to the school to give an academic report

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Key Laboratory Xu Jun and Liu Hui were invited to attend the 18th International Conference on Biomedical Engineering Technology and Systems and deliver keynote speeches

From February 20 to 22, 2025, Xu Jun and Liu Hui from the Key Laboratory were invited to attend the 18th International Biomedical Engineering Technology and Systems Conference (BIOSTEC 2025) held in Porto, Portugal. This conference brought together scholars and industry leaders from the United States, Germany, Portugal, Switzerland, Israel, South Korea, Japan, Brazil and other countries to conduct in-depth discussions and publish the latest scientific research results around the theme of “Intelligent Medical Technology and Future Health Systems”. Xu Jun gave a keynote speech at this conference, and Liu Hui served as co-chairman of the conference’s doctoral forum.

Professor Filipe Silva from the University of Lisbon in Portugal was specially invited to our school to give an academic report

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The key laboratory held a teacher-student seminar on "Physiological Signals and Wearable Devices"

On the afternoon of March 3, the School of Artificial Intelligence, School of Future Technology, and Jiangsu University Key Laboratory of Intelligent Medical Image Computing successfully held a unique teacher-student seminar on “Physiological Signals and Wearable Devices” in Lecture Hall D of Linjiang Building. The meeting was chaired by Professors Xu Jun and Professor Liu Hui. Hugo Gamboa, tenured professor of the Department of Physics of the New University of Lisbon in Portugal, served as the speaker. Professor Filipe Silva of the University of Lisbon, Portugal, key laboratory teacher Ming Wenlong, and more than 200 undergraduates from the School of Artificial Intelligence, the School of Future Technology 2023-2024 Medical Information Engineering and Artificial Intelligence, and the 2025 School of Chinese Education participated in the discussion and exchange. Key laboratory teachers Liu Hui, Yang Weiyi, and Zhou Wei respectively demonstrated and introduced their research results in this field.

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.

The paper collaborated by the key laboratory and the team of Professor Wu Xiaohua from the Department of Gynecology and Oncology of Fudan University Cancer Hospital was accepted by the journal Bioinformatics

Recently, teacher Wang Xiangxue and graduate student Cui Haoyu of the Key Laboratory of Pathology Wisdom Diagnosis and Treatment Team studied the prediction method of molecular subtypes of endometrial cancer based on conventional hematoxylin and eosin (H&E) stained Whole Slide Images (WSI) pathological sections. The research results (Prediction of molecular subtypes for endometrial cancer based on hierarchical foundation model) were recently accepted by the journal Bioinformatics. Based on the currently excellent computational pathology large model UNI, this paper proposes a hierarchical classification model based on weakly supervised learning, hierarchical UNI (hi-UNI). Our proposed model was subjected to 5-fold cross-validation in the oncology and gynecology cohort of Fudan University Cancer Hospital (N=364), and its prediction accuracy for molecular subtypes of endometrial cancer reached a macro-average AUROC of 0.879 (95% CI, 0.853-0.904). Compared with the current state-of-the-art endometrial cancer molecular subtype prediction methods, the model proposed in this article is superior in both prediction accuracy and computational efficiency; in addition, our method has better reproducibility. This study aims to solve the time and cost of traditional gene sequencing typing: our method provides a reliable and convenient alternative to gene sequencing and is expected to change the field of endometrial cancer diagnosis. The intelligent pathology auxiliary diagnosis and treatment team of the Key Laboratory of Intelligent Medical Image Computing has long been committed to ultra-high-resolution pathological image processing and analysis. The clinical cooperation unit of this paper is Professor Guo Qinhao and Professor Wen Hao from the team of Professor Wu Xiaohua, Department of Gynecology Oncology, Fudan University Cancer Hospital.

2025

Yuan Li, Chenxi Huang , Bowen Zheng , Zhiyuan Zheng , Hongying Tang , Shenghong Ju , Jun Xu , Yuemei Luo , “ Retinopathy identification in optical coherence tomography images based on a novel class-aware contrastive learning approach, ” Knowledge-Based Systems, vol.310, p.112924, 2025 . [ Link to paper ]

Key laboratory teacher Gan Xiao was selected into the first batch of key empowerment targets of the "Pengqi Plan" of the Jiangsu Overseas Chinese Federation

Recently, the Overseas Chinese Federation of Jiangsu Province issued a document announcing the first batch of key empowerment targets of the “Pengqi Plan”. Gan Xiao, a teacher at the Key Laboratory of Intelligent Medical Image Computing, was selected. There are only 11 people in the province (Figure 1).

The papers of key laboratory teacher Luo Yuemei and graduate student Li Yuan were accepted by the journal Knowledge-Based Systems

Teacher Luo Yuemei and her team from the Key Laboratory of Intelligent Medical Image Computing have been committed to the research of OCT imaging and analysis and deep learning automatic recognition algorithms. Recently, Teacher Luo and his team proposed a new semi-supervised learning (SSL) method that combines category-aware contrast learning with FixMatch to enhance the robustness and accuracy of retinal disease identification using minimal labeled data. This research result (Retinopathy Identification in Optical Coherence Tomography Images Based on a Novel Class-Aware Contrastive Learning Approach (Retinopathy Identification in Optical Coherence Tomography Images Based on a Novel Class-Aware Contrastive Learning Approach)) was recently accepted by Knowledge-Based Systems (Journal of the First District of the Chinese Academy of Sciences, the latest impact factor of the magazine is 7.2). Teacher Luo Yuemei is the corresponding author of this article, and Li Yuan, a graduate student in the key laboratory, is the first author.

Professor Tong Shilu from the Institute of Environment of the Chinese Center for Disease Control came to the school to give an academic report

Title: Climate Change and Human Health: from Evidence to Action Time: August 19, 2023 (Saturday) 15:00 -16:00 Location: Academic Lecture Hall A1715-1716, Information Technology Building (offline) Tencent conference number: 957-689-357 (online)

Researcher Wu Min from the Singapore Agency for Science, Technology and Research came to the school to give an academic report

Reporter: Wu Min, Research Scientist, Singapore Agency for Science, Technology and Research (A*STAR) Report title: Label-efficient Time Series Representation Learning Time: June 5, 2023 (Monday) 10:00 am -11:30 am

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.

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.

Our school held an expert demonstration meeting on the construction plan of the "Intelligent Medical Image Computing" key laboratory in Jiangsu universities.

On September 6, 2024, the Jiangsu University Key Laboratory - Key Laboratory of Intelligent Medical Image Computing, which was approved by the School of Future Technology and the School of Artificial Intelligence of our school, held an expert demonstration meeting on the laboratory construction plan. Chen Junbing, deputy director of the National Key Laboratory of Water Disaster Prevention at Hohai University, serves as the leader of the expert group. Zhang Xuejing, director of the Science and Technology Department of Jiangsu Provincial People’s Hospital, Wang Yuancheng of the Radiology Department of Zhongda Hospital Affiliated to Southeast University, Chen Jiu of the Institute of Medical Imaging and Artificial Intelligence of Nanjing Drum Tower Hospital, and Lu Zhenyu, dean of the Graduate School and Director of the Discipline Construction Division of Nanjing University of Information Science & Technology, are members of the expert group. Li Beibei, deputy director of the Science and Technology Department of our school, Xu Jun, director of the key laboratory and deputy dean of the College of Future Technology, Xuan Kai, deputy director of the laboratory, and academic backbones attended the meeting. The demonstration meeting was hosted by Professor Xu Jun.

Professor Hugo Gamboa from the New University of Lisbon in Portugal came to the school to give an academic report

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Professor Huiyu Zhou from the School of Computing and Mathematical Sciences at the University of Leicester, UK, came to the school to give an academic report

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Professor Zhang Fan from the University of Electronic Science and Technology of China came to the school to give a report

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Professor Zhou Shoujun from the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences came to the school to give an academic report

Title: Research on artificial intelligence-driven vascular image analysis and integration application Time: November 28, 2023 (Tuesday) 15:00-16:00 pm Location: Linjiang Building 1709-1710 Academic Lecture Hall (offline) Tencent conference number: 163-807-779 (online)

Young researcher Cheng Wei from the Institute of Brain-inspired Intelligence Science and Technology at Fudan University came to the school to give a report

Reporter: Cheng Wei, Young Researcher, Institute of Brain-inspired Intelligence Science and Technology, Fudan University

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.

The laboratory was approved as a special project for smart diagnosis and treatment of major diseases

Recently, the evaluation results of the 2024 National Natural Science Foundation of China’s “Intelligent Diagnosis and Treatment of Major Diseases” special project were announced. The project jointly submitted by Professor Xu Jun’s team from the “Intelligent Medical Image Computing” Key Laboratory of our school and Professor Shao Zhimin’s team from the Breast Surgery Department of Fudan University Cancer Hospital was successfully approved for funding.

Diagnosis of atrial fibrillation and ventricular fibrillation based on multi-angle dual-channel fusion network and electrocardiogram

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Luo Yuemei participated in the 20th Sino-US Frontier Science Symposium

The 20th China-U.S. Frontier Science Symposium, jointly organized by the Chinese Academy of Sciences and the U.S. National Academy of Sciences, was held from November 18 to 21 at the Friendship Palace of the Friendship Hotel in Beijing. Nearly a hundred young scientists from more than 40 Chinese and American research institutions and universities, including the Chinese Academy of Sciences, Tsinghua University, Peking University, Harvard University, MIT, and Lawrence Berkeley National Laboratory, conducted in-depth exchanges and interdisciplinary discussions on related cutting-edge science and technology topics. The conference carried out in-depth exchanges and discussions around topics such as artificial intelligence promoting scientific development, connectomics of neurological diseases, exoplanets, in situ structural cell biology, nanopore biotechnology analysis, ocean carbon dioxide removal, future-oriented quantum materials, and using new mathematical tools to understand artificial intelligence. As one of the important platforms for interdisciplinary exchanges between the academies of sciences of the two countries and even for young scholars from both countries, the Sino-US Frontier Science Symposium organizes interdisciplinary discussions around different themes in the field of natural sciences. Scientists from both sides learn from each other in the field of basic research through the symposium, which enhances friendship and broadens their horizons, and plays a positive role in strengthening exchanges between the young scientific communities of the two countries. Luo Yuemei was invited to attend the meeting of the “Artificial Intelligence Promotes Scientific Development” branch and gave a poster presentation on “Automated OCT-Based Retinal Disease Detection: Innovations and Applications in Semi-Supervised Deep Learning” on behalf of the Key Laboratory of Intelligent Medical Image Computing.

Analysis of testicular cell composition based on enhanced deep learning model to rapidly detect spermatogenic defects in mice

Professor Xu Jun’s team and Professor Xu Yujun’s team from the State Key Laboratory of Reproductive Medicine at the University of Chicago/Nanjing Medical University have pioneered the application of machine learning technology in the quantitative analysis of conventional H&E pathological sections of mouse testicles, and carried out automated staging and identification of spermatogenesis through quantitative analysis of histological sections of spermatogenesis. Recently, the collaborative team expanded this method to the rapid detection of spermatogenesis defects in male infertile mice. This collaborative work recently caused great repercussions at the 2024 Andrology Conference in the United States (see the picture below). At this meeting, participants from the field of reproductive medicine in the United States had extensive and in-depth interactions and exchanges with Professor Xu Yujun on issues related to the feasibility of using machine learning to identify mice containing fertility defect genes. This work was published in Andrology, the leading journal in the field of andrology.

Distortion tolerance method of fiber grating sensor network based on distribution estimation algorithm and convolutional neural network

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Network medicine explains the scientific connotation of clinical efficacy of traditional Chinese medicine

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Research on generation of multi-type time series electronic medical record data based on generative adversarial network

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Research on standardization of head CT image reconstruction for deep learning-assisted automatic detection

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Single-cell morphology and topology maps reveal breast cancer ecosystem diversity

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Xu Jun attended the first annual meeting of the Asian Society of Digital Pathology and gave an academic report

The first annual meeting of the Asian Society of Digital Pathology will be held on October 2-4, 2024 at the Sejong University Conference Center in Seoul, South Korea. The theme of this annual meeting is: Unlock the Potential of Digital Pathology and AI. The conference invited pathologists from the United States, Europe, and Asia, university professors engaged in digital pathology and artificial intelligence research, digital pathology engineers, and experts in the field of digital pathology. Xu Jun was invited to attend the conference and gave an academic report titled: Explainable AI in Pathology (Explainable Artificial Intelligence in Pathology), and also chaired the academic report of the Generative AI and LLM in Pathology (Generative AI and Large Language Model in Pathology) branch.

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.

China-Europe Institute of Medical Artificial Intelligence was unveiled

The Jiangsu Key Laboratory of Intelligent Medical Image Computing signed a strategic cooperation agreement with the Institute of Instrumentation, Biomedical Engineering and Radiation Physics of the New University of Lisbon in Portugal to establish the Sino-European Institute of AI in Medicine (SEAM), which was officially unveiled in Nanjing on October 28, 2024. This milestone moment brings new opportunities for the integrated development of medicine and artificial intelligence. It will also effectively promote comprehensive cross-field cooperation between Nanjing University of Information Science & Technology and well-known European universities, top research institutes and excellent industry incubators.

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.

The 2024 Smart Medical and Health Summit Forum was successfully held in our school

From May 17th to 18th, the 2024 Smart Medical and Health Summit Forum and Medical Image Computing Youth Symposium (MICS) offline academic exchange event was held at Nanjing University of Information Science & Technology. This event is the sixth Science and Technology Activity Month of Nanjing University of Information Science & Technology and the 64th anniversary celebration of Nanjing University of Information Science & Technology. It is also a sub-forum of the Development Conference of the School of Artificial Intelligence (College of Future Technology) of Nanjing University of Information Science & Technology and the Metaverse and Artificial Intelligence Application Innovation Forum.

2024

Wei Zhou, Hangyu Zhu, Wei Chen, Chen Chen, and Jun Xu, Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification. Bioengineering , 2024, 11, 1226. [ Link to paper ]

Professor Shan Jinjun’s team from Nanjing University of Chinese Medicine came to the Smart Medical Research Institute for academic exchanges

On the afternoon of November 8, the Smart Medical Research Institute invited a team of professors Shan Jinjun from the First Clinical School of Nanjing University of Chinese Medicine to come to the school for academic exchanges. Vice Dean Xu Jun, Dr. Gan Xiao, Dr. Ren Mucheng of the School of Artificial Intelligence of our school, Associate Professor Gao Bei of the School of Marine Science, as well as Professor Shan Jinjun, Dr. Li Mengyuan, and doctoral candidates Zhang Qinchang and Tao Yuquan of Nanjing University of Chinese Medicine participated in the meeting.

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.

The research results of teachers from the Smart Medical Research Institute in the Science sub-journal reveal the modern scientific explanation of the principle of "syndrome differentiation and treatment" of traditional Chinese medicine

Recently, Dr. Gan Xiao, a member of the team of Professor Xu Jun of the Smart Medical Research Institute of the School of Artificial Intelligence of Nanjing University of Information Science & Technology, Professor Zhou Xuezhong of Beijing Jiaotong University, the founder of network science, an academician of the European Academy of Arts and Sciences, and Professor Albert-László Barabási of Northeastern University, as well as a joint team including the China Academy of Chinese Medical Sciences and the Hubei Provincial Hospital of Traditional Chinese Medicine published a research paper “Network medicine framework reveals” in Science Advances (a top journal of the Chinese Academy of Sciences, impact factor IF=13.6). “generic herb-symptom effectiveness of Traditional Chinese Medicine (network medicine theory reveals the universal rules of clinical efficacy of traditional Chinese medicine)”, Dr. Gan Xiao of our hospital is the first author and co-corresponding author. This paper found that the traditional treatment principle of “syndrome differentiation and treatment” of traditional Chinese medicine can be explained by the topological proximity relationship between traditional Chinese medicine and disease symptoms on the protein network, and was verified by real-world clinical data. It was the first time to explore and establish a scientific theory to explain the principle of traditional Chinese medicine treatment system.

Digital Pathology + Artificial Intelligence: 400 Million Cell Atlas Analyzes Breast Cancer Ecotypes

From a microscopic perspective, a towering tree is not just the tree itself, but a huge ecosystem composed of many different organisms and their complex interactions. Similarly, breast cancer is not only composed of tumor cells, but also a huge ecosystem composed of many different cells such as inflammatory cells and stromal cells and their complex interactions. The biological behavior, prognosis and efficacy of breast cancer depend not only on the characteristics of tumor cells, but also on other cellular components and their interactions with tumor cells. Analyzing the composition of the breast cancer ecosystem and the relationship between different types of cells is of great significance for understanding the biological behavior of breast cancer and improving the level of accurate diagnosis and treatment of breast cancer. Since cells are the basic unit of life, they are also the basis for the occurrence and development of diseases. Traditional pathology can only perform descriptive analysis on a small number of cells using hematoxylin and eosin (H&E) stained sections and optical microscopy; as digital pathology is adopted on a large scale in clinical practice, we can use advanced data and knowledge-driven machine learning technology and digital image processing technology to carry out multi-omics and massive data on hundreds of millions of cells and their tissue structures in high-resolution digital pathology sections. Quantitative analysis can reveal the trends and patterns of disease occurrence and development, thereby helping us better understand the disease and assist doctors in formulating optimal treatment strategies.

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

Smart Medical Research Institute was approved for 5 National Natural Science Foundation projects

On August 24, the National Natural Science Foundation of China issued the “Notice on the Review Results of the National Natural Science Foundation’s Centralized Acceptance of Application Projects in 2023”. Xuan Kai, Wang Xiangxue, Jiao Yiping, Zhang Teng, and Li Jin of the Smart Medical Research Institute were approved for the National Natural Science Foundation project. Recently, Wan Zhuo and Zhang Teng of the Smart Medical Research Institute were approved for the Jiangsu Provincial Natural Science Foundation Youth Project, and Wang Xiangxue was approved for the Jiangsu Provincial College Natural Science Project. Congratulations to the above teachers!

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

The Smart Medical Research Institute team visited many hospitals in Shanghai for exchanges

Subsequently, the institute team conducted academic exchanges with the team of Director Zhou Zhengrong of the Department of Radiation Diagnosis of Fudan Cancer Hospital. Department of Radiation Diagnosis Dr. Xie Tiansong and Dr. Liu Wei gave academic reports on “Progress in Imaging Diagnosis of Neuroendocrine Tumor Liver Metastasis” and “Progress in Imaging Research of Pancreatic Cancer” respectively. They introduced the current research progress of neuroendocrine tumor liver metastasis and pancreatic cancer to the engineering team of the Smart Medical Research Institute, and raised scientific issues of clinical concern. The two parties had a heated discussion on how to use advanced artificial intelligence technology to solve clinical concerns and formulated plans for further cooperation.

Smart Medical Association undergraduates and teachers held teacher-student discussions and exchanges

In order to better help undergraduates plan their summer studies, guide undergraduates who are interested in scientific research to master scientific research methods and lay the foundation for future scientific research work, on the afternoon of June 30, teachers from the Smart Medical Research Institute and students from the Smart Medical Club held a symposium in the Information Technology Building. During the event, Vice Dean Xu Jun first made a detailed analysis of the possibility of undergraduates participating in scientific research, and he made suggestions for undergraduates who are interested in engaging in scientific research. He pointed out that engaging in scientific research may not be suitable for everyone because it requires a lot of time and energy and the determination to persevere. He encouraged the students of the Smart Medical Club to always maintain curiosity and thirst for knowledge, and constantly strive to learn new knowledge; learn to ask questions, think about problems, and solve problems; learn to cooperate with others and share their ideas and results with others; be brave enough to try new methods and ideas; persevere, not be afraid of failure, and keep trying. He encouraged all smart medical students who are interested in scientific research to receive scientific research training at the Smart Medical Research Institute during the summer vacation. Through scientific research training, they can cultivate the rigorous scientific spirit of undergraduates; improve their innovation awareness and ability, scientific literacy and scientific thinking ability; and cultivate practical ability and teamwork spirit.

The School of Artificial Intelligence (College of Future Technology) held a study abroad application exchange meeting

On June 26, the School of Artificial Intelligence (College of Future Technology) held a study abroad application exchange meeting in A101-102 of the Information Technology Building. Three junior students, Xu Geyang, Pang Yuqi, and Liu Jiehui, who studied at several well-known universities in the United States, were invited to share their experiences in studying professional courses such as informatics, statistics, and data science in American universities. Young teachers from the college and more than 30 junior students participated in the event. The meeting was chaired by Dr. Li Jin.

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.

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.

2023

Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, PewThian Yap, Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network, Pattern Recognition , 2023: 109715. [ Link to paper ]

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.

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.

Researcher Wu Min from the Singapore Agency for Science, Technology and Research was specially invited to the school to give an academic report.

On the afternoon of June 5, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited Researcher Wu Min from the Agency for Science, Technology and Research (A*STAR) of Singapore to come to the school to give an academic report titled “Label-efficient Time Series Representation Learning”. Professor Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over this report meeting. This meeting adopted a combination of offline + online (Tencent Conference and Koxiang Academic). There were more than 100 teachers and students participating in the meeting, including 2,026 live broadcasts of Koxiang Academic.

Teachers from the Smart Medical Research Institute published papers in the Nature cooperation series of journals

Recently, Dr. Li Jin and Dr. Wang Xiangxue, members of Professor Xu Jun’s team at Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute, published two papers respectively in the authoritative journal “npj Digital Medicine” (District 1, Chinese Academy of Sciences, Top Journal, impact factor IF=15.357) and “npj Precision Oncology” (impact factor IF=10.092) in the Nature collaboration series.

Nanjing University of Information Science & Technology School of Artificial Intelligence 2024 Graduate Admissions Announcement

Your browser does not support HTML5 video. Translated from the original Chinese source.

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.

The paper jointly written by Zhou Zhenghao, a graduate student at the Smart Medical Research Institute, and Dr. Xia Yi from CUHK Hospital was accepted by Radiology, the top journal in the field of medical imaging.

Research background With the innovation of imaging diagnosis technology, advances in surgical procedures, and the use of targeted and immunological drugs, the overall survival of patients with hepatocellular carcinoma (HCC) has greatly improved, but the 5-year survival is still low. One of the reasons is that patients already have microvascular invasion (MVI) when they are diagnosed. MVI refers to the invasion of microvessels by tumors. Under the microscope, nests of cancer cells are seen in the vascular lumen lined with endothelial cells. They are commonly found in small portal vein branches and hepatic vein branches in the adjacent liver tissue, as shown in Figure 1. The incidence rate of MVI is between 15% and 57.1%. Its occurrence indicates that the biological behavior of HCC is more aggressive. Therefore, it is an important factor affecting the prognosis of liver cancer and an important reference for the formulation of treatment plans. In recent years, a large number of studies have attempted to use CT, MRI and other imaging methods combined with clinical and laboratory indicators to predict MVI preoperatively, which can help guide treatment decisions for patients with liver cancer.

Academician Ma Yuqiang, Vice Chairman of the Provincial CPPCC and Chairman of the Provincial Committee for Democratic Progress, and his delegation visited the Smart Medical Research Institute for investigation

On the afternoon of April 12, Deputy Chairman of the Provincial Committee of the Chinese People’s Political Consultative Conference Chairman, Chairman of the Provincial Committee for the Advancement of Democracy and Academician of the Chinese Academy of Sciences Ma Yuqiang and his delegation went to Nanjing University of Information Science & Technology-Zhongda Hospital Smart Medical Research Institute for research and guidance. Zhu Yimin, full-time deputy chairman of the Provincial Committee for the Democracy and first-level inspector, and Deputy Chairman of the Provincial Committee for the Democracy Yuan Linwang, Vice President of the Committee and Nanjing Normal University, relevant persons in charge of the Party Affairs Office of the United Front Work Department of the Provincial Party Committee, the Graduate Office of the Provincial Department of Education, members of the Provincial Political Consultative Conference, relevant persons in charge of the Suzhou CPPCC Committee, specially appointed researchers of the Provincial Committee for Democracy and persons in charge of the Research Office participated in the survey. Liu Bo, Vice President of our school, Chen Tao, Member of the Standing Committee of the School Party Committee and Director of the United Front Work Department of the Party Committee, and Lai Peng, Deputy Director of the Discipline Construction Department, accompanied him.

Ji Fang, Vice Mayor of Kunshan City, and his delegation visited the Smart Medical Research Institute for investigation

On the morning of April 11, Kunshan Vice Mayor Ji Fang led a delegation of heads of the Municipal Talent Office and other relevant departments to the Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute for research and guidance. Yang Chunyan, Secretary of the Party Committee of the School of Chemistry and Materials of our school, and Liu Yuhua, Deputy Director of the Organization Department of the School Party Committee, accompanied the visit.

Professor Yu Weimiao from the Singapore Agency for Science and Technology (A*STAR) was specially invited to the school to give an academic report.

On the afternoon of April 10, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited Professor Yu Weimiao from the Singapore Science and Technology Agency (A*STAR) to the school to give an academic report. The report was titled “Five Necessary Steps from Traditional Pathology to AI-driven Digital Pathology Diagnosis”. Professor Xu Jun, deputy dean of the School of Artificial Intelligence (School of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over this report meeting. The meeting adopted a combination of offline + online (Tencent Conference and Kouxiang Academic). There were more than 60 teachers and students participating in the Tencent Conference online and offline, and the Kouxiang Live Broadcast Platform received about 2,000 clicks from the audience.

Professor Yu Weimiao from the Singapore Science and Technology Agency (A*STAR) came to the school to give an academic report

On the afternoon of April 10, 2023, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited Professor Yu Weimiao from the Singapore Science and Technology Agency (A*STAR) to come to the school to give an academic report. The report was titled “Five Necessary Steps from Traditional Pathology to AI-driven Digital Pathology Diagnosis”. Professor Xu Jun, deputy dean of the School of Artificial Intelligence (School of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over this report meeting. The meeting adopted a combination of offline + online (Tencent Conference and Kouxiang Academic). There were more than 60 teachers and students participating in the Tencent Conference online and offline, and the Kouxiang Live Broadcast Platform received about 2,000 clicks from the audience.

Academician Moncef Gabbouj from Tampere University in Finland visited the institute for guidance

On the afternoon of March 24, Professor Moncef Gabbouj, academician of the European Academy of Sciences, academician of the Academy of Finland, and University of Tampere, Finland, visited Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute for guidance. Professor Gabbouj was accompanied by Professor Yu Li from the School of Computer Science of our school. Some teachers from the Smart Medical Research Institute participated in this academic exchange event. The event was hosted by Professor Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology) and executive director of the Smart Medical Research Institute.

The School of Artificial Intelligence organizes students to visit the Smart Medical Research Institute

In order to help students gain an in-depth understanding of the frontiers of scientific research and guide students to further clarify their goals and efforts in the university, on the morning of March 16, the School of Artificial Intelligence (College of Future Technology) organized some members of the smart medical community and student representatives of all grades to go to the Jiangbei New District Huichuang Park Base of the Smart Medical Research Institute of Nanjing University of Information Science & Technology to carry out visits and face-to-face exchanges between teachers and students.

Professor Liu Linbo from Nanyang Technological University in Singapore came to the school to give an academic report

On the afternoon of March 3, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited Professor Liu Linbo from Nanyang Technological University in Singapore to give an academic report. The report was titled “Micrometer Resolution OCT Technology and Application”. Professor Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over this report meeting. The meeting was a combination of offline + online (Tencent Conference and Koxiang Academic). There were more than 40 teachers and students participating in the meeting.

Professor Liu Linbo from Nanyang Technological University in Singapore was specially invited to the school to give an academic report.

Professor Xu Jun visited the Singapore Science and Technology Agency and gave an academic report

On the afternoon of March 6, 2023, at the invitation of Professor Yu Weimiao from the Institute of Bioinformatics of the Singapore Institute of Technology, Professor Xu Jun, Executive Director of the Smart Medical Research Institute, visited the Institute of Bioinformatics and was invited to give an academic report titled “Computational radiology and pathology for disease prevention, diagnosis, and prognosis” at the Institute of Bioinformatics.

Professor Xu Jun visited the Singapore Science and Technology Agency and gave an academic report

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

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.

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

Smart Medical Research Institute long-term recruitment of outstanding masters, doctoral students and postdoctoral students

Recruitment direction The institute has long-term recruitment of outstanding master’s degree students, doctoral students and postdoctoral students in the fields of artificial intelligence, biomedical engineering, computer science, automation, mathematics, statistics, bioinformatics, brain science, electronic engineering, machine learning, computer vision, image analysis, medical image computing, robotics, medical materials, medical equipment, optical instruments and other fields.

The institute and the Pathology Department of Gulou Hospital held a pathological artificial intelligence academic salon event

At the beginning of the new year in 2023, the Smart Medical Research Institute and the Pathology Department of Nanjing Drum Tower Hospital jointly organized the New Year Pathology Artificial Intelligence Academic Salon. The Smart Medical Research Institute and the Pathology Department of Gulou Hospital have carried out scientific research cooperation for many years. Currently, they have jointly published relevant papers and jointly applied for a number of scientific research projects on the survival prediction of patients with intrahepatic cholangiocarcinoma. This academic salon aims to focus on areas of interest to both parties and further strengthen in-depth cooperation and exchanges between medical and engineering experts from the two units.

MICS Computational Pathology Special Topic and the Second Computational Pathology Symposium were successfully held

On the morning of January 14, 2023, the MICS Computational Pathology Special Topic and the Second Computational Pathology Symposium were held online through Tencent Conference. The meeting discussed the future development direction and latest technological progress of computational pathology in the form of roundtable discussions and invited reports. This meeting was particularly honored to invite Professor Liang Zhiyong, chairman of the Pathology Branch of the Chinese Medical Association, Professor Liu Dongge, the incoming chairman, Professor Bu Hong, the former chairman, as well as senior experts in the field of pathology such as Professor Liang Li and Professor Song Zhigang to give speeches and roundtable discussions. This meeting received the guidance of the three previous chairmen of the Pathology Branch of the Chinese Medical Association, which reflects the great importance that the Pathology Branch of the Chinese Medical Association attaches to the development of the field of computational pathology in my country. Topics discussed at the roundtable mainly include: the construction of pathology-specific disease databases, the advancement of digital pathology and computational pathology industry standards and expert consensus, and the application and implementation of computational pathology and digital pathology, etc. These topics have an important leading role in the future development of computational pathology in my country.

Congratulations to Lu Haoda for successfully passing the defense of his doctoral thesis

On the morning of January 10, 2023, Lu Haoda from the Smart Medical Research Institute successfully passed the defense of his doctoral thesis entitled “Automatic staging of mouse seminiferous ducts based on histomorphological analysis”. Members of the defense committee include Professor Chen Yang from the School of Computer Science and Engineering of Southeast University, Professor from the Singapore Science and Technology Agency (A*Star) ) Professor Yu Weimiao from the Institute of Bioinformatics, Professor Fan Xiangshan from the Pathology Department of Nanjing University Drum Tower Hospital, Professor Xu Yujun from the Reproductive Science Research Center of Northwestern University School of Medicine and the State Key Laboratory of Reproductive Medicine at Nanjing Medical University, Professor Li Chen from the School of Medicine and Bioinformatics Engineering at Northeastern University, Professor Fu Zhangjie and Professor Yuan Xiaotong from the School of Computer Science at Nanjing University of Information Science & Technology, and Associate Professor Wang Xiangxue from the School of Artificial Intelligence (School of Future Technology) at Nanjing University of Information Science & Technology. Professor Chen Yang served as the defense chair. Teacher Jiao Yiping is the defense secretary. The backgrounds of the defense committee members span across multiple disciplines such as clinical medicine, reproductive medicine, biomedicine, computer science, and artificial intelligence. The members come from three countries: China, the United States, and Singapore. The completion of Lu Haoda’s doctoral thesis defense marks that the Smart Medical Research Institute’s research in the field of reproductive medicine has entered a new stage.

Professor Xu Jun was selected into the top 2% of the world's top scientists in artificial intelligence and image processing

On October 10, 2022, the list of the top 2% of the world’s top scientists released by the team of Professor John P.A. Ioannidis of Stanford University was updated to the 2022 version. Professor Xu Jun, executive director of the Smart Medical Research Institute, was selected into the list of the top 2% of the world’s top scientists at Stanford University in the United States. The two selected research fields are: 1. Artificial Intelligence & Image Processing, 2. Nuclear Medicine & Medical Imaging.

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.

The School of Artificial Intelligence (College of Future Technology) is recruiting outstanding scholars at home and abroad

School Introduction Nanjing University of Information Science & Technology is a national “double first-class” construction university and a Class A construction university in Jiangsu High-level University Construction Peak Plan. The main campus of the school is located in the core area of Jiangbei New District (national-level new district) in Nanjing City. There are currently 7 first-level discipline doctoral programs, 44 first-level discipline (professional) master’s degree programs, 75 undergraduate majors, and 4 postdoctoral mobile stations. Atmospheric science has ranked first in the country for two consecutive rounds in the subject evaluation. Eight disciplines including earth science, engineering, computer science, environmental science and ecology, chemistry, agricultural science, materials science, and general social science have ranked among the top 1% of ESI global rankings. Among them, earth science and computer science have entered the top 1‰ of ESI global rankings.

Cao Peng

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

Li Ziang

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.

Singapore A*STAR researcher Chen Zhenghua came to the school to give an academic report

On the afternoon of November 25, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited researcher Chen Zhenghua from Singapore A*STAR to the school to give an academic report. The theme of the report was “Data-Efficient and Model-Efficient Learning for Time-series Data Analytics”. Professor Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over this report meeting. There were more than 30 teachers, graduate students and undergraduates participating offline and online.

The institute specially invited Singapore A*STAR researcher Chen Zhenghua to come to the school to give an academic report

Key laboratories are looking for long-term talents at home and abroad to recruit talents from all over the world

Nanjing University of Information Science & Technology Basic Overview Nanjing University of Information Science & Technology is a national “double first-class” construction university and a Category A construction university in the Jiangsu High-level University Construction Peak Plan. The school has distinctive educational characteristics, and atmospheric science has been selected as a national “world-class discipline” construction discipline. Meteorology is a national key discipline, and nine disciplines including Earth Science, Engineering, Computer Science, Environmental Science and Ecology, Chemistry, Agricultural Science, Materials Science, General Social Sciences, and Mathematics are among the top 1% of ESI disciplines in the world, of which Earth Science and Computer Science are in the top 1‰. It has 11 first-level discipline doctoral degree authorization points in atmospheric science, environmental science and engineering, information and communication engineering, management science and engineering, mathematics, history of science and technology, computer science and technology, remote sensing science and technology, optical engineering, cyberspace security, and ecology, 3 professional doctoral degree authorization points in electronic information, resources and environment, and meteorology, 28 first-level discipline master’s degree authorization points, and 26 professional master’s degree authorization points. It has 6 postdoctoral research stations in atmospheric science, mathematics, environmental science and engineering, management science and engineering, computer science and technology, and information and communication engineering. The 80 undergraduate majors (excluding majors) are distributed in 10 disciplines including science, engineering, liberal arts, management, economics, law, agriculture, art, education, and interdisciplinary fields.

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

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

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

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

Ding Feng

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

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

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

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)

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

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

Lin Wenxuan

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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

Qiu Youhui

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

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

Video replay of the 9th Youth Symposium on Medical Image Computing (MICS2022)

The afternoon of August 11, 2022 Medical Image Analysis Tutorial Speakers: He Kelei (Nanjing University), Shen Dinggang (Shanghai University of Science and Technology) Title: Transformer and its application in medical images

Professor Ji Zhiwei from the School of Artificial Intelligence of Nanjing Agricultural University came to the school to give an academic report

On the morning of September 22, Nanjing University of Information Science & Technology - Zhongda Hospital Smart Medical Research Institute invited Professor Ji Zhiwei from the School of Artificial Intelligence of Nanjing Agricultural University to give an academic report. The theme of the report was “Big data computing, modeling, and application.” Professor Xu Jun, deputy dean of the School of Artificial Intelligence (College of Future Technology) and executive director of the Smart Medical Research Institute of our school, presided over the report meeting. More than 30 people, including teachers and graduate students from the school, attended the meeting offline and online.

The institute specially invited Professor Ji Zhiwei from the School of Artificial Intelligence of Nanjing Agricultural University to give an academic report.

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

Chunyan Xu, Msc

Translated from the original Chinese source.

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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.

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.

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.

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.

Lei Wang, Msc

Translated from the original Chinese source.

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.

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.

Lu Haoda

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.

Quan Wang, Msc

Translated from the original Chinese source.

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.

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.

Song Gu, Msc

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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.

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.

Wei Ma, Msc

Translated from the original Chinese source.

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.

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.

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 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.

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.

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

Yuan Lei

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.

Zengrui Zhao, Msc

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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

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 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.

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.