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