MICAD 2023

The 4^th 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".