MICAD 2023

The 4th International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) unfolded triumphantly in Cambridge, UK, on December 9-10, 2023. Evidencing its global appeal, the conference attracted a robust participation of around 100 individuals from over 20 countries and regions, both online and onsite. The event garnered significant attention, boasting an impressive tally of approximately 150 submissions.

The conference thrived on the rich contributions of 12 esteemed speakers and 50 oral and poster presenters, each delivering outstanding studies that greatly enhanced the conference's impact and success. MICAD 2023 served as a dynamic platform uniting leading researchers and practitioners worldwide, fostering the exchange of innovative ideas and insights. Through collaborative endeavors and the presentation of cutting-edge research, the conference showcased the collective dedication to advancing medical imaging and computer-aided diagnosis. MICAD 2023 emerged as a testament to the collaborative spirit and academic excellence driving the international medical imaging community forward.

Group photos of MICAD 2023

  

MICAD 2023 Proceedings

MICAD 2023 received submissions from more than 20 countries in the relevant domain. After thorough evaluation, all selected manuscripts were published by Springer in their esteemed "Lecture Notes in Electrical Engineering (LNEE volume 1166)" series (ISSN: 1876-1100). Additionally, the proceedings of MICAD 2023 were effectively indexed by EI-Compendex, SCOPUS, and various other renowned indexing services.



Keynote Speakers of MICAD 2023

Prof. Marcel Van Herk from University of Manchester, UK delivered his keynote speech titled "Image Guided Radiotherapy - from Bench to Bedside".

Prof. Dr. Nassir Navab from Technical University of Munich, Germany delivered his keynote speech titled "Particularity and Challenges of Machine Learning for Intra-operative Imaging (MLMI2): Towards precision and Intelligence in high intensity, dynamic environments".

Prof. Kenji Suzuki from Tokyo Institute of Technology, Japan delivered his keynote speech titled "Small-data AI and Its Applications to Diagnostic Aid and Virtual AI Imaging".

Prof. Greg Slabaugh from Queen Mary University of London, UK delivered his keynote speech titled "Seeing Triple: Working Across Modalities, Anatomies or Tasks for Medical Imaging and Computer-Aided Diagnosis".

Prof. Gitta Kutyniok from Ludwig Maximilian University of Munich, Germany delivered her keynote speech titled "Reliable AI in Medical Imaging: Successes, Challenges, and Limitations".

Invited Speakers of MICAD 2023

Prof. Qin Zhang from Tsinghua University, China delivered his invited speech titled "A Transparent and Explainable AI to Aid Clinical Diagnosis in General Practice".

Asst. Prof. Weimin Zhou from Shanghai Jiao Tong University (SJTU), China delivered his invited speech titled "Machine Learning-Based Ideal Observer Computation for Task-Based Assessment of Medical Imaging Systems".


Asst. Prof. Fei Gao from ShanghaiTech University, China delivered his invited speech titled "Intelligent Photoacoustic Imaging".

Assoc. Prof. Yangang Wang from Southeast University, China delivered his invited speech titled "Vision-based 4D Cardiac Reconstruction".

Prof. Huimao Zhang from The First Hospital of Jilin University, China delivered her invited speech titled "Progress and outlook of AI in Medical Imaging".

Assoc. Prof. Sang Hyun Park from Daegu Gyeongbuk Institute of Science and Technology, South Korea delivered his invited speech titled "Artificial Intelligence for Multi-Institutional Data Learning".

Asst. Prof. Sujatha Krishnamoorthy from Wenzhou-Kean University, China delivered her invited speech titled "Detection and Classification of Diabetic Retinopathy(DR) using Machine Learning Techniques".

MICAD 2022

Hosted by the University of Leicester, UK, endorsed by MICCAI Society, the 3rd MICAD2022 was held as a hybrid event, with both online participation via Zoom and in-person attendance at the University of Leicester on Nov. 20-21, 2022. The conference was well-received, with approximately 120 submissions and 100 participants from more than 20 countries and regions. The conference was enriched by the contributions of 10 keynote speakers and 60 oral and poster presenters, who delivered excellent studies and made significant contributions to the event's success. MICAD2022 was a successful conference that brought together leading researchers and practitioners from around the world to exchange ideas and insights.

Group photos of MICAD 2022

  

MICAD 2022 Proceedings

MICAD 2022 attracted submissions from over 15 countries within the related field. Following a rigorous review process, all accepted papers were published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)(LNEE volume 810)" series. Moreover, the proceedings of MICAD 2022 were successfully indexed by EI-Compendex, SCOPUS, and other prominent databases.


Keynote Speakers of MICAD 2022


The conference Honorary Chair, Prof. Leo Joskowicz from The Hebrew University of Jerusalem, Israel delivered an opening speech titled "Deep learning and race cars. where's the catch?"


Prof. Thomas Schultz from the University of Bonn, Germany delivered his keynote speech titled "Interpretable and Interactive Machine Learning for Medical Image Analysis"


Prof. Liangxiu Han from Manchester Metropolitan University, UK delivered her keynote speech titled "Scalable Deep Learning for Alzheimer’s Disease Diagnosis from Large Neuroimaging Data"


Prof. Ronald Summers from the National Institutes of Health (NIH), USA delivered his keynote speech titled "Challenges and Opportunities for AI in Abdominal"


Prof. Tolga Tasdizen from the University of Utah, USA delivered his keynote speech titled "Stain-based Contrastive Learning for Histopathological Image Classification"


Asst. Prof. Ehsan Adeli from Stanford University, USA delivered his keynote speech titled "Dealing with confounders and bias in medical studies in the age of deep learning"


Prof. Linwei Wang from Rochester Institute of Technology, USA delivered her keynote speech titled "Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation"


Prof. Klaus Maier-Hein from Heidelberg University, Germany delivered his keynote speech titled "Machine Learning in Medical Imaging: Current Challenges


Prof. Hongen Liao from Tsinghua University, China 3D delivered his keynote speech titled "Medical Imaging and Visualization for Intelligent Minimally Invasive Surgery"


Prof. Sotirios A Tsaftaris from the University of Edinburgh, UK delivered his keynote speech titled "Diffusion Models in Medical Imaging and Analysis. Hype or Hope?"


Prof. Adrian Barbu from Florida State University, USA delivered his keynote speech titled "Organ Segmentation: A Journey from Level Sets to Shape Denoising"


The conference Honorary Chair Prof. James Duncan from Yale University, USA, and Prof. Klaus Maier-Hein from Heidelberg University, Germany discussed the content of Professor Klaus Maier-Hein's speech

MICAD2021

2021 the 2nd International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD2021) which was successfully held in Birmingham, UK（virtually） during Mar.25-26, 2021. Participants from different parts of the world were connected together with network. All conference sessions were chaired via web remote conference and all presentations were made online.

Micad2021 attracted a total of more than 1000 participants including 12 renowned plenary & keynote speakers in the field of medical & biological imaging and computer-aided diagnosis, in addition to dozens of invited speakers.

Thank you for all the delegates' cooperation during this virtual conference! We look forward to meeting you in next year!

Keynote Speakers of MICAD2021

MICAD2021 Proceedings

MICAD2021 received submissions from more than 20 countries, in related field. All papers were published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100), and submitted to the ISI Proceedings, EI-Compendex, SCOPUS, MetaPress, Web of Science and Springerlink for indexing.

<

MICAD2020

2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD2020) which was held in Oxford, UK during January 20-21, 2020. MICAD is an annual conference which aims to provide a communication platform for top scholars, engineers, scientists, as well as graduate students to share ideas and discuss the latest technology in medical imaging and computer-aided diagnosis or related fields such as artificial intelligence and machine learning, to encourage growth, raising the profile of this multidisciplinary field with an ever increasing real world applicability.

Many people have collaborated and worked hard to produce the successful MICAD2020 conference. First, we would like to thank all the authors for submitting their papers to the conference, for their presentations and discussions during the conference. Our thanks go to program committee members and reviewers, who carried out the most difficult work by carefully evaluating the submitted papers. Our special thanks to Yu-Dong Zhang, University of Leicester, UK, Manuchehr Soleimani, University of Bath, UK, Richard Jiang, Lancaster University, UK, and Edwin Abdurakman, City, University of London, UK, for the exciting keynote talks. We express our sincere thanks to the organizing committee chairs for helping us to formulate a rich technical program.

MICAD2020 Proceedings

MICAD2020 received submissions from 12 countries, in total, 56 full papers and 11 abstracts (the latter not considered for inclusion in this volume), and each paper was reviewed by at least three reviewers in a standard peer-review process. Based on the recommendation by three independent referees, finally 24 papers were accepted for MICAD2020 (acceptance rate of 45%).

The proceeding of MICAD2020 is going to be published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100), and submitted to the ISI Proceedings, EI-Compendex, SCOPUS, MetaPress, Web of Science and Springerlink for indexing.

MICAD2020 Summer Forum

On August 22, 2020, the MICAD Summer Forum was successfully held in the Shanghai Artificial Intelligence Conference, directed by SHEITC, hosted by Shanghai Advanced Research Institute, Chinese Academy of Sciences, and jointly hosted by the Shanghai Computer Society and the Shanghai Artificial Intelligence Society. The forum invited representatives of enterprises and scholars in the field of medical technology to participate. Experts from Shanghai University, iFLYTEK-Xunfei Medical, RxThinking, and Senyi Intelligent delivered wonderful speeches in the forum.