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Medical Image Processing, Analysis and Visualization Lab

Address :333 Ganjiang East Road, Gusu District, Suzhou, Jiangsu, China

Email :xjchen@suda.edu.cn

Post Code:215000
 

Introduction

  Medical Image Processing, Analysis and Visualization (MIPAV) Lab was founded by Distinguished Professor Dr. Xinjian Chen in June, 2012. The lab's main research is focused on medical image processing, analysis and its applications. We dedicate our effort in applying the methods and technologies of information engineering to solve problems in  clinical practice, aiming to provide the physicians accurate quantitative analysis and visualization results, and to help them improve their level of diagnosis, treatment, and efficacy assessment.At present, the laboratory has 1 distinguished professor, 3 lecture and guest professors, 7 professors, associate professors and lecturers, 2 post-doctoral fellows, and more than 50 doctoral and master students.

  The laboratory currently undertakes major basic research projects (973) Young Scientists Project, Natural Science Foundation of China General Project, National Natural Science Foundation of China Youth Fund, Jiangsu Provincial Natural Science Foundation Youth Fund, Jiangsu Provincial Normal University Natural Science Research Project, etc. The scientific research funding exceeds 30 million. The lab keeps close cooperation with Institute of Automation, Chinese Academy of Science, Joint Shantou International Eye Center of Shantou University and the Chinese University of Hong Kong, School of Radiological & Interdisciplinary Sciences, Soochow University, the First Affiliated Hospital of Soochow University, and other high-end research institutes. The lab have published more than 200 peer-reviewed technical papers on top international journals and conferences, such as IEEE Transactions on Medical Imaging, IEEE Transactions on Imaging Processing, IEEE Transactions on Biomedical Engineering, etc.; and has applied more than 70 patents which include US and Chinese patents, and more than 30 have been granted. The laboratory has also achieved remarkable results in the transformation of scientific and technological achievements. More than 10 patents have been transformed; related products have obtained two CFDA medical device Class II certificates, and have been clinically tried or applied in 100 hospitals. As the first completed person, the laboratory has won 1 second prize of Jiangsu Science and Technology Award and 1 first prize of Wu Wenjun Artificial Intelligence Technology Invention Award.
 



Laboratory collective activities

Congratulations to the Suzhou Biomedical Electronic Technology Laboratory for being awarded the outstanding ranking of the Suzhou Key Laboratory of Discipline Evaluation in 2021

Recently, the Suzhou Science and Technology Bureau announced the evaluation results of the Suzhou Key Laboratory of Subjects in 2021. The Suzhou Biomedical Electronic Technology Laboratory of Soochow University was awarded the Excellent Class. A total of 130 subject key laboratories participated in this assessment. Among them, 10 laboratories are rated as excellent; 20 laboratories are rated as good; 96 laboratories are rated as qualified; 4 laboratories are rated as unqualified.

The Suzhou Biomedical Electronic Technology Laboratory of Soochow University, under the leadership of Professor Chen Xinjian, has carried out in-depth research on medical image processing and analysis, biomedical imaging technology, biomedical signal processing, neural information and engineering, and voice signal processing. Improve innovation capabilities and operational management levels, and give full play to the backbone role of laboratories in gathering and cultivating outstanding talents, undertaking major scientific research tasks, and producing high-level innovation results. In the past five years, the laboratory has undertaken more than 20 national, provincial and ministerial-level and municipal-level projects such as national key research and development projects and key projects of the National Natural Science Foundation, with a total scientific research funding of more than 30 million; won the 2018 Jiangsu Science and Technology Award II 1 first prize and 1 third prize each, 1 first prize of the 2020 Wu Wenjun Artificial Intelligence Technology Invention Award; published more than 150 international and domestic authoritative journal papers, including IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and other fields Published more than 30 papers, published more than 100 conference papers, authorized more than 30 invention patents, and transferred more than 10 patent rights.

In the future, Suzhou University Suzhou Biomedical Electronic Technology Laboratory will further explore new methods and new technologies, and contribute to the rapid development of Suzhou and the country's health industry.

 

The 2019-2020 annual summary meeting of the key special projects of the national key research and development plan of Professor Chen Xinjian's team was successfully held

On the afternoon of November 17, the national key research and development plan transformative technology, key scientific issues and key special projects "Artificial intelligence meta-learning new theories and new technologies and their demonstration applications in medical imaging big data" 2019-2020 annual summary meeting in the Red Building Conference Center of the headquarters Convened. Professor Chen Xinjian from the School of Electronic Information presided over the meeting as the project leader.

The conference invited 21 well-known experts in the field including Academician Chai Zhifang of the Chinese Academy of Sciences, Director Wu Gen of the High Technology Center of the Ministry of Science and Technology, Professor Zhang Yongdong from the Institute of Computing Technology of the Chinese Academy of Sciences, Professor Han Yan from North University of China. Vice President Zhang Xiaohong, Minister Yu Qiuya of the Ministry of Science and Technology, Director Qian Fuliang of the Department of Science and Technology, Professor Hu Jianling, Secretary of the Party Committee of the School of Electronics and Information, and Professor Li Fanchang of the project team, Professor Zhang Zhiqiang from Nanjing University, Professor Li Lihua of Hangzhou Dianzi University, Shantou University Hong Kong Chinese Professor Chen Haoyu of the University United Eye Hospital and Yan Wentao, director of the Eye Optometry Hospital of Wenzhou Medical University, also attended the meeting.

At the meeting, Professor Chen Xinjian introduced the overall annual progress as the project leader. Deep learning has major problems in the application of complex and uncertain scenes, and transformative machine learning technology is urgently needed. Lie group-Bayesian manifold meta-learning can effectively and accurately represent complex uncertain scenes, with "whole + partial, qualitative + quantitative , Linear + non-linear, single parameter + multiple parameters" and other advantages, the Lie group-Bayesian manifold meta-learning theoretical framework is a revolutionary innovation. The project team has steadily promoted the research work in three aspects of learning new theories, new methods, and new platforms from Li Qun-Bayesian Yuan, and achieved a series of results around the annual task.

As the project leaders, Professor Li Fanchang from the School of Computer Science of Soochow University, Professor Chen Xinjian from the School of Electronic Information and Professor Zhang Zhiqiang from Nanjing University reported to the participating experts the progress and research results of the three sub-projects of this year's transformative project.

After the project summary report, Director Wu Gen gave a speech. He affirmed the work of the project team in the research of meta-learning theory and method and the preliminary deployment of platform construction this year, and said that the relevant units of the project should continue to work together, strengthen contacts, and further promote The existing research results are transformed into the medical application field.

Later, Academician Chai Zhifang also guided the work of the project team. Academician Chai pointed out that this project is geared towards people's lives and health and is in line with the country's 11th Five-Year Plan for scientific and technological work. It has given full affirmation and earnest expectations to the key scientific issues, main research content and research objectives of this transformative technology project.

Project responsibility expert Professor Zhang Yongdong first affirmed the progress of the project this year, saying that the research of Li Qun-Bayesian theory has enabled meta-learning technology to be expressed concretely, promoted the development of meta-learning, and expressed the integrated development of the project’s future theory and application Ardent expectations. Other participating experts also fully affirmed the annual work of the project, provided multi-faceted guidance for the next step of the research work, and put forward effective opinions and suggestions.

The convening of this conference marked the successful conclusion of the first year of the annual work summary of the key scientific issues and key scientific issues of transformative technology of the national key research and development plan "Artificial intelligence meta-learning new theories and new technologies and their demonstration applications in medical imaging big data". After the meeting, the teams of all parties immediately put into the follow-up project implementation work. Let us wish this major project a better result next year!

 

The 2020 Suzhou Medical Imaging Symposium was successfully held in the Red House Conference Center of Soochow University

On November 17, 2020, the 2020 Suzhou Medical Imaging Symposium was successfully held in the Red House Conference Center of Soochow University. Professor Chen Xinjian, director of the Medical Image Processing and Analysis Laboratory of the School of Electronic Information, Soochow University, served as the chairman and presided over the meeting. This conference invited many experts and scholars in the field of information to exchange reports.

Professor Han Yan, winner of the National Science Fund for Distinguished Young Scholars, Chairman of the Shanxi Nondestructive Testing Society, and Vice President of North University of China, gave a report titled "Thinking of Intelligent Radiographic Imaging", and introduced the current research progress on radiographic intelligent imaging technology.

Professor Liao Guisheng, winner of the National Science Fund for Distinguished Young Scholars and Dean of the School of Electronic Engineering of Xidian University, gave a report titled "Waveform Diversity Array Radar Range Dependent Pattern Technology", introducing the theory, methods and applications of waveform diversity array radar.

Professor Li Lihua, winner of the National Science Fund for Distinguished Young Scholars, national candidate for the "New Century Hundred, Thousand, Thousand Talents Project", and Dean of the School of Life Information and Instrument Engineering of Hangzhou Dianzi University, gave a thought on "Impact (genomics) research" And some progress" report, shared the research progress and thinking related to imaging genomics and tumor precision diagnosis and treatment.

Many teachers and graduate students participated in this seminar, which opened up the research ideas of teachers and students of the college in artificial intelligence information processing, medical image diagnosis and analysis, and created a good research atmosphere.

 

An autumn visit to egret garden in dushu lake, suzhou, Nov.2019.

 

Professor Chen Xinjian's National Key Basic Research Development Program (973 Program) is endorsed as Excellent
【NOTICE】
【REPORT】

 

Professor Chen Xinjian's Seminar on Implementing Key Special Programs of National Key R&D Program and Project Starting Meeting were held successfully

 

The 6th MICS and the Academic Forum on Medical Image Processing and Analysis for Graduate Students were successfully held.
【2019MICS HOMEPAGE】

 

Suzhou Shangfang Mountain National Forest Park Spring Outing,May,2019.

 

Professor Xie Qingguo was invited to hold an academic report at MIPAV Lab-Digital PET: LEGO for Scientist.

 

Suzhou Yangcheng Lake Autumn Outing,November,2018.

 

Suzhou Moon Bay Park Spring Outing, April,2018

 

The 4th International Workshop on Medical Imaging at Suzhou was held at Jingxian Hall, Tiancizhuang Campus, Soochow University.

 

The Spring Tour at Baimajian in Suzhou, April, 2016

 

The Spring Tour at Yangcheng Lake Ecological Park in Suzhou, April, 2015

 

The 2nd International Workshop on Medical Imaging at Suzhou was successfully held by MIPAV lab. And some conferees were visiting a famous scene, named Mingyuewan, Octor, 2014

 

The members of the MIPAV Lab participate in the Eleventh IEEE International Symposium on Biomedical Imaging held in Beijing ,May, 2014

 

A picnic at a ecological garden in Suzhou, November, 2013

 

A tour at Anji in Zhejiang ,June, 2013

 

A hiking to the Shangfang mountain, November, 2012
A visit to The Humble Administrator`s Garden with the professor Milan Sonka, October, 2012

MIPAV student participate international academic exchange activity

MIPAV LAB Associated Professor Shi takes MIPAV Dr.Kai Yu, Dr.Meng Wang, Dr.Yuhe Shen, Yi Zhou to attended the MICCAI 2019 International Conference held in Shenzhen.

 

MIPAV LAB Professor Chen takes MIPAV Dr. Meng Wang to attend the ARVO 2019 International Conference held in Canada.

 

MIPAV LAB Professor Chen Xinjian takes MIPAV Dr. Kai Yu and Dr. Yibiao Rong to attend the MICCAI 2018 International Conference held in Spain.

 

Professor Chen Xinxin and Master Zhang Lichun attend the Medical Imaging Processing and Analysis Laboratory attended the International Conference on Medical Imaging of the International Society of Optical Engineering in Houston, USA

 

Ph.D Min Sun participated in the 2017 SPIE Medical Image conference held in Florida,AMERICAN

 

MS KaiYu and Shuxia Zhu participated in the 2016 SPIE Medical Image conference held in California,AMERICAN

 

Ph.D Enting Gao had participated in the IEEE conference on Medical Image Computing and Computer Assisted Intervention

 

MS Zhuli Sun participated in the 2015 SPIE Medical Image conference held in ORLANDO, FLORIDA ,AMERICAN

Address :333 Ganjiang East Road, Gusu District, Suzhou, Jiangsu, China   Email:xjchen@suda.edu.cn 
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