MICAD 2024
The 5th International Conference on Medical Imaging and Computer-Aided
Diagnosis (MICAD 2024) was held with great success at the University of Manchester, UK, from
November 19-21, 2024. Endorsed by the MICCAI Society, MICAD 2024 attracted significant global
interest, reaffirming its status as a prominent scientific event.
The conference welcomed around 100 participants from over 30 countries and regions, both online
and onsite. It received an impressive 160 submissions, highlighting the widespread interest and
high caliber of research in the field.
MICAD 2024 featured insightful presentations from 8 esteemed speakers and 50 oral and poster
presenters, each contributing groundbreaking studies that enriched the conference's discussions.
The event served as a dynamic platform for researchers and practitioners to exchange innovative
ideas and foster collaboration. Through these shared efforts, the conference advanced the field
of medical imaging and computer-aided diagnosis, underscoring the collective commitment to
pushing the boundaries of scientific discovery. MICAD 2024 stands as a testament to the
collaborative spirit and academic excellence driving the international medical imaging community
forward.
Group photos of
MICAD 2024
Keynote Speakers of MICAD 2024
Prof. Laurent Cohen from Universite Paris Dauphine, France delivered his keynote speech titled "Fast Marching and Front Propagation for Medical Image Segmentation".
Prof. Gustavo Carneiro from University of Surrey, UK delivered his keynote speech titled "People-Centred Medical Image Analysis".
Prof. James C. Gee from University of Pennsylvania, USA delivered his keynote speech titled "Registration-Aware Feature Learning".
Prof. Xiaoyi Jiang from University of Münster, Germany delivered his keynote speech titled "Traditional Computer Vision Meets Deep Learning: A Perspective on Biomedical Image Analysis ".
Invited Speakers of MICAD 2024
Assoc. Prof. Oliver Faust from Anglia Ruskin University (ARU), UK delivered his invited speech titled "Artificial Intelligence to Analyse Celiac Pathology".
Asst. Prof. Yanmei Tie from Harvard Medical School, USA delivered her invited speech titled "Clinical Application of fMRI in Neurosurgical Brain Mapping".
Assoc. Prof. Tammy Riklin Raviv from Ben-Gurion University, Israel delivered her invited speech titled "HyperFusion: Imaging-Tabular Data Integration for Predictive Modeling in Healthcare".
Prof. Yu-Chien Wu from Indiana University, USA delivered her invited speech titled "Specific Analysis Approach to Characterize Heterogeneous White Matter Abnormalities in Sport-Related Concussion".