Presentation and Authors

Authors of accepted papers/abstracts will find the schedule of oral presentations and instructions for publication on this website and final version program book. Authors are responsible for obtaining publication approval by their employer.

For publication of accepted papers/abstracts and presentation during the ICSIA-2023, at least one of the authors needs to be registered.


Plenary Lectures


Yanning ZHANG

Chinese Northwestern Polytechnical University

Yanning Zhang is a full professor and doctoral supervisor at Northwestern Polytechnical University. She was selected as a Distinguished Professor of China Leading Talent Plans. She is currently the Vice President and Dean of the Graduate School of Northwestern Polytechnical University. She has successively hosted and undertaken more than 40 national projects such as a foundation strengthening key project, National Defense key project, and National Natural Science Foundation of China key project. She concurrently serves as the vice president of the Chinese Society for Stereology. She has published more than 100 papers in authoritative journals in this field and important international conferences (such as IEEE TPAMI, IEEE TIP, IJCV, CVPR, and ICCV), 3 monographs, and obtained more than 50 national (defense) authorized invention patents. She has won the second prize of the National Technology Invention Award, the first prize of the National Defense Technology Invention Award, the second prize of the National Teaching Achievement Award, and the first prize of the Shaanxi Province Scientific and Technological Progress Award (all ranking first). She is mainly engaged in research on image processing, pattern recognition, computer vision and intelligent information processing. She has also applied the proposed methods in national key projects in aerospace, aviation and other areas. Her team has developed a number of achievements in space sensing and air-space-ground-sea integrated big data application.

Lecture Title:

Progress and Application of Deep Space Target Sensing Technologies










With the rapid development of space technology, space debris is increasing in recent years, and the space environment is deteriorating. It is imperative to perceive the space situation. The complex spatial environment, special lighting conditions, and drastic changes in movement of targets and acquisition platforms result in sensing images that are simultaneously affected by factors such as dim targets, less available information, multi-factor coupling degradation, and dynamic changes, which greatly limit the accurate perception of spatial situation. This report discusses the development and application of deep space target sensing technology, and analyzes how to fully capture the potential information in faint and degraded targets, extract useful features of the target, in order to achieve target information reconstruction and accurate perception of target situation information. This provides critical information support for space perception, assessment, and protection. 


 Jens Randel Nyengaard

Aarhus University


Professor Jens Randel Nyengaard is a distinguished researcher and lecturer at Dept of Clinical Med., Core Center for Molecular Morphology, Aarhus University. His academic endeavors have covered a wide range of topics in quantitative imaging for translational research in peripheral and central nervous system, heart and circulation, kidneys and urinary tract, and pathological anatomy. A total of 396 publications (H-index=64) and over 21600 citations have undoubtedly proven his deep-seated dedication and contribution to the academic community.

His international network is a testament to the breadth of his collaborations, spanning continents and disciplines. Esteemed colleagues from Harvard Medical School, Johns Hopkins University School of Medicine, University of Oxford, Imperial College, University of Michigan, and numerous other renowned institutions have contributed to his global perspective and enriched his research pursuits. 

His dedication to mentorship and supervision has been a cornerstone of his academic journey: He has guided and nurtured the academic growth of 20 completed PhD students as principal supervisor, and contributed to the development of 32 completed PhD students as cosupervisor.

Beyond his primary roles, his commitment to academic excellence has manifested in various additional engagements:

He has been a valued member of the Editorial Board for "Image analysis and stereology" since 2000, been Scientific Editor of “Journal of Microscopy” since 2015 and served as president at the International Society for Stereology and Image Analysis from 2008 to 2011, contributing his insights to shape the direction of the field.

As a partner in the Marie Curie Training Site "Advanced Medical Imaging and Spatial Stat." from 2002 to 2006, he facilitated meaningful learning experiences for aspiring researchers.

His leadership was instrumental in spearheading the research center for "Membrane-receptors In Neuronal Disease" from 2005 to 2015 and “Centre for Stochastic Geometry and Advanced Bioimaging” from 2010 to 2020, underscoring his commitment to impactful research initiatives.

Lecture Title:


Spatial Quantification of Single Cell mRNA and Ligand Binding of the Kappa Opioid Receptor in Rat Hypothalamus



 Detailed quantification of brain tissue provides a deeper understanding of changes in expression and function. We have created a pipeline to study the detailed expression patterns of the kappa opioid receptor in the rat hypothalamus using high resolution fluorescence microscopy and receptor autoradiography. The workflow involved structured stereological sampling of rat hypothalamic nuclei, in situ detection of mRNA and receptor expression, and advanced image analysis. Our results demonstrate how maintaining spatial information can lead to a deeper understanding of RNA and protein expression. In addition, we show the detailed expression patterns of the kappa opioid receptor in the rat hypothalamus.



Dinggang SHEN

School of Biomedical Engineering, ShanghaiTech University

Shanghai United Imaging Intelligence Co., Ltd.


Dinggang Shen is Professor and Founding Dean of School of Biomedical Engineering, ShanghaiTech University, and also Co-CEO of United Imaging Intelligence (UII). He is Fellow of IEEE, Fellow of The American Institute for Medical and Biological Engineering (AIMBE), Fellow of The International Association for Pattern Recognition (IAPR), and also Fellow of The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society. He was Jeffrey Houpt Distinguished Investigator, and (Tenured) Full Professor in the University of North Carolina at Chapel Hill (UNC-CH), directing The Center of Image Analysis and Informatics, The Image Display, Enhancement, and Analysis (IDEA) Lab, and The Medical Image Analysis Core. His research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 1500 peer-reviewed papers in the international journals and conference proceedings, with H-index 133 and >75K citations. He serves as Editor-in-Chief for Frontiers in Radiology, as well as editorial board member for eight international journals. Also, he has served in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society in 2012-2015, and was General Chair for MICCAI 2019.

Lecture Title:  

Artificial Intelligence in Life-Span Brain Health Study



In this talk, I will introduce our recently-developed AI methods for 1) infant brain development study from 0 to 6 years old, for precise charting of dynamic early brain developmental trajectories in understanding normative and aberrant brain growth, and 2) aging study (over 60 years old), for characterizing normal aging and unnormal aging related to Alzheimer's disease.



Zhiqiang CHEN

Tsinghua University (China)

Dr. Chen Zhiqiang, the principal researcher and doctorial supervisor of Department of Engineering Physics, Tsinghua University. He is currently the director of the Institute of Nuclear Technology and Application, and the director of the National Engineering Laboratory for Dangerous Articles and Explosive Detection Technologies.In the past 30 years, Dr. Chen has presided over many major national key scientific research projects, including the National Major Scientific Instrument and Equipment Development Project, the Key Program of the National Natural Science Foundation of China, the Distinguished Youth Fund Project of the National Natural Science Foundation, etc. Focusing on the development needs of nuclear science and technology and applied disciplines, he carries out research on new theories and methods of X-ray imaging, and has promoted the development and improvement of X-ray imaging theories. He strives to commercialize scientific and technological achievements and series of security inspection equipment have been successfully developed under his leadership. In particular, he is committed to developing the world-leading independent core technologies on X-ray security inspection. He guides the in-depth integration of industries, academia and research and has developed various of high-end equipment with proprietary intellectual property rights, including the world's first static CT system with distributed carbon nanotube x-ray source.His achievements earn him many honors and awards, such as the First Prize of National Science and Technology Progress Award, National Science and Technology Progress Award (Innovation Team), etc.

Lecture Title:

Progress and Application of Intelligent Security Inspection Technology on 

Static CT



Focusing on the development history of X-ray tubes and the cutting-edge technology of distributedcarbon nanotube X-ray source with cold cathode, this presentation will introduce the principle, design and application of an innovative static CT inspection system based on distributed carbon nanotube x-ray source.The report will also discuss the imaging structure, reconstruction algorithm, advantages and characteristics of the static CT system without slip rings, and make a prospect of the development trend and application potential of this new static CT system.



Gaowu QIN

Northeastern University

Dr. Gaowu QIN (G. W. QIN) is currently a full professor of materials science, dean of school of materials science & engineering, Northeastern University, China. He received both his B. E. degree in 1992 and Ph. D. degree in 1998 in materials science from Northeastern University, China. At the beginning of 1999, he worked at Oxford University as a visiting scholar, and then moved to AIST and Tohoku University, Japan, respectively, as JSPS post-doctor and guest research fellow for seven years. In 2006, Dr. Qin joined Northeastern University as a full professor.Professor QIN is now the member of the materials discipline review group of the Academic Degrees Committee of the State Council, vice-chairman of Chinese Society for Stereology, executive director of Chinese Materials Research Society, vice-chairman of functional materials branch of the Chinese Society for Metals, editorial board member of JMST and Rare Metals international journals.His main research topics are light metal structural materials and their functionalization, involving Al alloys, Mg alloys, Mg-base biomaterials and Al/Mg/Ti-base structured catalysts. He has published more than 300 SCI indexed and peer-reviewed papers, obtained more than 40 granted invention patents, and won the first prize of the S&T award of ChinaNonferrous Metals Association.

Lecture Title:

Grain boundary segregation engineering of wrought magnesium alloys


Lightweight design of various equipments is aligning with the development of energy-saving society now and in the future. As the lightest metal structural materials, magnesium alloys have great development potential in the equipments lightweight in the fields of vehicles, high-speed trains, aerospace and so on. However, the problems of low absolute strength of magnesium alloys and their trade-off of strength-ductility have always been challenging. This report summarizes the recent development of wrought magnesium alloys in the world, mainly focusing on the segregation effect of alloying elements at the grain boundaries which we found in the past several years, and their theoretical clarification of segregation mechanism. The ultra-fine grains, on the submicron scale, of a series of wrought magnesium alloys has been thus realized, together with high strength and good ductility. We give also an example to promote the application in new energy vehicles. Finally, the report addresses the prospect on the future development of grain boundary segregation engineering of wrought magnesium alloys.



 Augusto Coppi

School of Anatomy at the University of Bristol (UK)


Professor Augusto Coppi is a highly regarded senior lecturer in veterinary anatomy at the prestigious School of Anatomy, University of Bristol, United Kingdom. He brings an extensive breadth of knowledge and expertise to his role, where he is responsible for imparting valuable teachings and conducting groundbreaking research in various aspects of Veterinary Anatomy, Histology, and Physiology. His areas of specialization encompass a wide range of topics, including Structure and Function, Clinical and Surgical Anatomy, Sectional Anatomy, Developmental Anatomy, Topographical Anatomy, Functional Anatomy, 3D Anatomy, Imaging Anatomy, Physiology, and Embryology. Over the years, Prof. Coppi has fostered collaborations with esteemed institutions worldwide, collaborating with renowned universities such as University College London (UK), University of Nottingham (UK), University of Ulster (UK), University of Rochester (USA), University of Chile (Chile), Federal University of São Paulo (Brazil), and University of São Paulo (Brazil). In his remarkable career, Prof. Coppi has spearheaded numerous laboratory-based experimental and anatomical education research projects. His exceptional leadership and dedication have resulted in the successful acquisition of significant research funding amounting to £1,800,000, secured from reputable bodies such as Research Councils UK (RCUK), as well as the esteemed Brazilian Research Councils: the São Paulo Research Foundation (FAPESP), the National Council for Scientific and Technological Development (CNPq), and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).Furthermore, Prof. Coppi's contributions to academia extend beyond his research pursuits, as he serves as a respected reviewer for esteemed international journals, including Nature, Journal of Anatomy, The Journal of Physiology, The Anatomical Record, Annals of Anatomy, BMC Veterinary Research, Research in Veterinary Science, and Toxicologic Pathology.Recognizing his outstanding achievements and dedication to advancing the field of veterinary anatomy, Prof. Augusto Coppi has been honored as a fellow of both the Royal Society of Biology and the UK Higher Education Academy (FHEA).

Lecture Title: 


Resistance Exercise Decreases Amyloid Load and Modulates Inflammatory Responses in the APP/PS1 Mouse Model for Alzheimer’s Disease assessed by Design-based Stereology



Neuroinflammation has been shown to play a crucial role in the development of Alzheimer’s disease (AD) and also has an association with amyloid-β (Aβ) plaques, a hallmark of this disease. Physical exercise has emerged as an alternative treatment for pathological impairment in AD. In light of this evidence, together with the fact that the hippocampus is one of the first structures to be affected in AD, we analysed hippocampal changes in Aβ load, inflammatory responses, and locomotor activity in transgenic APP/PS1 mouse model for AD submitted to a resistance exercise (RE) program. One month after the start of the RE program, the locomotor hyperactivity related to AD behaviour was reduced and microglia recruitment was increased, which in turn may have contributed to the decrease in the volume of Aβ plaques. In addition, the RE program restored the levels of IL-1α, IL-4, and IL-6 cytokines to control levels. Our study indicates that RE has beneficial effects on the locomotor behaviour, amyloid burden, and inflammation of AD pathology and can therefore be used as a therapy to improve the clinical symptoms and neurophysiological alterations in AD. To the best of our knowledge, this is the first study to use a resistance exercise program in transgenic AD model.





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